However, the freedom and control come with a responsibility: the necessity of regular maintenance. This article aims to guide you through the crucial aspects of maintaining your self-hosted scheduling system, ensuring its longevity and protecting your critical business data.

1. Foundational Principles

Understanding the foundational principles of self-hosted scheduling platforms sets the stage for why maintenance is so critical. This section will introduce you to what these platforms are, why they’re beneficial, and the vulnerabilities that come with neglecting their upkeep.

a. What Are Self-Hosted Scheduling Platforms?

In simple terms, a self-hosted scheduling platform is a calendar system that you run on your own servers, rather than using a third-party service.

Self-hosted calendar scheduling offers you complete control over your data, enhanced customization possibilities, and seamless integration with your existing infrastructure.

b. Why Use Self-Hosted Platforms?

Self-hosted scheduling platforms offer unique advantages that cloud-based systems may not. One of the primary reasons is customization; you can tweak the system to fit your specific needs, integrating it deeply into your existing workflows.

You also maintain greater control over your data, an increasingly important consideration in an age when data privacy and security are paramount.

c. Inherent Vulnerabilities

While powerful and flexible, these platforms are not without their vulnerabilities. A lack of regular maintenance can result in outdated software, exposure to cyber threats, and even data loss. Understanding these risks is the first step in preventing them, and this brings us to the importance of regular upkeep.

2. Why Maintenance is Key

Regular maintenance is not an optional task, but rather a necessity for safeguarding your scheduling platform. In this section, we’ll delve into the risks of neglecting upkeep, from data loss to cybersecurity threats and unplanned system downtimes.

Data Loss Risks – Ignoring routine maintenance can lead to catastrophic data loss. Imagine losing months of scheduling data, customer information, or appointment history. This kind of setback would not only require a tremendous amount of effort to recover but could also severely impact client trust and business reputation.

Cybersecurity Threats – Cyber threats are an ever-present danger, especially when it comes to platforms that manage critical business data. A self-hosted scheduling system that isn’t regularly updated is an inviting target for hackers.

Once they exploit a vulnerability, the damage could range from unauthorized data access to taking the entire system offline.

System Downtimes – Unplanned downtime is more than just an inconvenience; it can have a measurable impact on your business operations. For instance, if your new calendar system goes offline unexpectedly, this could lead to missed appointments, customer dissatisfaction, and lost revenue. Regular maintenance helps in preempting such unplanned outages.

3. Key Maintenance Procedures

Knowing is half the battle; the other half is doing. This part of the blog will guide you through the essential procedures that form the backbone of a robust maintenance routine. We’ll discuss backups, software updates, and performance optimization.

a. Regular Backups

Creating frequent backups should be your first line of defense against data loss. This practice allows you to restore your system to a functioning state should anything go wrong. While many open source calendaring software options offer backup features, having a manual process in place is always beneficial.

b. Software Updates and Security Patches

Updates and patches are released for a reason: to fix bugs, improve performance, or enhance security. Ignoring these updates puts your system at risk. Make it a routine to check for and install any new updates or patches, ensuring that you are protected against known vulnerabilities.

c. Performance Optimization

Over time, even the most robust systems can start to show signs of wear and tear. Regular performance checks are vital for identifying and resolving any issues that may slow down your scheduling platform. From database optimization to clearing cache files, these small but significant actions can make a world of difference in how your system performs.

4. Advantages of Diligent Maintenance

To motivate you in taking maintenance seriously, it’s important to recognize its numerous benefits. In this section, you’ll learn how diligent upkeep not only prevents problems but also brings positive improvements like extended platform longevity, enhanced user experience, and data protection.

• Longer Platform Longevity – One of the most compelling reasons for regular maintenance is that it can extend the life of your platform. Just like a well-maintained car can serve you for years, your self-hosted scheduling platform can offer extended longevity when properly looked after, providing a greater return on your investment.
• Enhanced User Experience – Frequent maintenance doesn’t just keep your system running; it also contributes to an enhanced user experience. An efficient, fast, and reliable platform will not only please your internal team but also offer a better service to your customers, thereby potentially increasing user engagement and loyalty.
• Protection of Critical Business Data – Your scheduling data is critical to your business operations. In diligently maintaining your system, you’re not just ensuring its smooth operation but also safeguarding this essential data. This proactive approach can save you from the reactive scramble that comes with unexpected system failures or data loss events.

5. Practical Guidance for Maintenance

Armed with knowledge and understanding, the final step is application. This segment will provide pragmatic advice on establishing a routine maintenance schedule, spotting early signs of issues, and effectively recovering from unexpected setbacks.

a. Setting Up a Routine Maintenance Schedule

Timely maintenance starts with a well-planned schedule. Using reminders or even scheduling these tasks in your own self-hosted calendar can help you keep track of what needs to be done and when. This systematic approach ensures that no essential maintenance tasks fall through the cracks.

b. Recognizing Early Signs of Potential Issues

Before your system reaches the point of failure, it will often show early signs of distress like slow performance, frequent errors, or unexpected behavior. Catching these signs early and addressing them can prevent minor issues from turning into major problems.

c. Best Practices for System Recovery

Even with the best preventive measures, things can go wrong. Knowing how to recover your system can be just as important as regular maintenance. Basic recovery steps include restoring from a backup, checking server health, and reviewing logs to understand what went wrong. This enables you to make informed decisions about how to bring your system back online safely.

The responsibility of maintaining a self-hosted scheduling system may seem daunting, but the benefits far outweigh the risks when managed correctly. A well-maintained platform not only serves your business reliably but also protects against data loss, cyber threats, and unplanned downtimes.

By adhering to a rigorous maintenance schedule and paying attention to early signs of issues, you can extend the longevity of your platform and ensure a smoother, more secure experience for all users.

Taking the time to properly care for your system, you’ll reap the benefits of reliability, longevity, and peace of mind. Maintenance isn’t just a task to be scheduled; it’s an ongoing commitment to the efficiency and security of your business operations.

The post Essential Maintenance Tips For Self-Hosted Scheduling Platforms appeared first on Technology News & Trends.

Have you been toying around with the idea of buying a custom hidden camera for your own security? Whether you’re thinking of buying it for your home or for your business, it can actually turn out to be a rather great idea.

And yet, you won’t make any purchases before checking why that may be the right move for you. Apart from that, you’re also probably wondering where to get the right one, and those are the two questions we’ll answer for you below.

Why Buy Custom Hidden Cameras for Security

Starting with the most basic question, we’re about to explain why it is that buying custom hidden cameras for security could be a good idea for you. Going shopping, of course, without checking that first, is not exactly the best move.

After all, you don’t want to make any purchasing decisions if you don’t even know if the product you’ll buy will be useful for you. So, let’s find that out first.

1. Prevent Trespassing

Trespassing is certainly something every homeowner is worried about. While you’re not expecting any intruders to come enter your land and your property, it’s always better to be safe than sorry.

That is, to be prepared. And, by installing custom hidden cameras around you property, you could actually get a clear look of trespassers, as well as generally prevent trespassing once the word of your camera gets out.

If wondering whether you should install a camera to monitor your nanny, this should help you decide: streetdirectory.com

2. Monitor the Activities of Your Employees

Thinking about adding these cameras somewhere in your offices? Could be a great idea too. Monitoring the activities of your employees could give you a clearer picture on how they are spending their working hours, as well as who it is that’s most productive and who could be slacking.

This could further help you motivate your employees better and thus increase their productivity. Plus, this way, you can protect your employees better and improve their security, especially if we’re talking of lone workers.

3. Get Notifications of Any Unusual Activities

Whether you install these in your home or in your offices, the great thing is that you can get notified of any unusual activities, allowing you, thus to increase your security even more. Buying a camera with a motion detection feature means you’ll get instant notifications if something unusual is detected.

Perfect both for homes and for businesses, custom hidden cameras can boost your security and keep your property better protected, especially when the motion detection features is activated and you get notifications for all unusual activities.

4. Get Peace of Mind

The biggest reason why you should get and install these is because you’ll get the peace of mind you deserve. No longer worried about intruders and your own safety for that matter, you’ll be able to focus on other important things in your life. Knowing that your custom hidden camera is there, you’ll feel much safer and much more relaxed in your own home, or in the offices.

Where to Get These

Wondering where to get custom hidden cameras for your property? A great question, of course! Researching the local stores that sell this type of equipment is one of the first moves you’ll make when aiming at buying these products. Remember, though, to also check the Internet, aiming at finding stores that could be selling those as well.

The most significant thing to remember, though, is that, wherever you buy, you should buy from trusted suppliers. Meaning, rushing into buying these products from unreliable stores and shady suppliers is not the best idea.

Instead, you should do enough research on the different companies selling the cameras, find those that are trustworthy and experienced, then compare their prices, compare all the other information you’ve found as well and make your purchase.

The post Why Buy Custom Hidden Cameras For Security & Where to Get Them appeared first on Technology News & Trends.

The prospect of integrating blockchain into accounting signals not just an upgrade, but the dawn of a completely new era. As we traverse this pivotal juncture, it’s crucial to delve deep into the implications of this marriage between blockchain and accounting.

This exploration carries even more relevance for business professionals and job-seekers striving to remain at the forefront of industry trends. Let’s embark on this journey together, unravelling how blockchain might reshape the way we view accounting.

1. Understanding the Power of Blockchain

Before venturing into the specific applications of blockchain in accounting, it is essential to comprehend the core concept of this technology. Essentially, a blockchain is a distributed ledger that records transactions across multiple computers in a network.

This creates an unalterable chain of information, providing a level of transparency and security that has been relatively unheard of until now. Blockchain has opened up a myriad of possibilities for diverse industries, from supply chain management to voting systems, and now, its disruptive potential has found a new playground – the intricate world of accounting.

2. Blockchain: The Unconventional Ally of Accounting

Traditional accounting systems, while essential, are often fraught with challenges. The risk of human error, the complexity of audits, and the cumbersome nature of reconciliations are just a few of the many hurdles accountants grapple with regularly.

Here, blockchain emerges as an unconventional ally, armed with the capability to streamline these processes and provide unparalleled efficiency. But how exactly does this new-age technology intertwine with the age-old practice of accounting?

3. Enhancing Efficiency and Accuracy

The hallmark of blockchain technology – its transparency and incorruptibility – forms a perfect match for the fundamental tenets of accounting. Ledger entries, once recorded on the blockchain, cannot be altered, mitigating the risk of fraud and manipulation.

Additionally, the blockchain’s decentralized nature drastically reduces the time and resources needed for reconciliations, improving the overall efficiency of accounting processes.

A prime example of a provider leveraging this blockchain potential is the Bookkeeping Service Sydney, offering cutting-edge solutions that encapsulate the benefits of this transformative technology.

4. Revolutionizing Auditing Procedures

Auditing, a critical component of accounting, often involves time-consuming and resource-draining processes. With blockchain, the need for third-party verification is virtually eliminated as the integrity of financial transactions is intrinsically ensured.

Transactions recorded on the blockchain are time-stamped and immutable, providing an indelible audit trail. This not only simplifies auditing procedures but also imbues them with a newfound level of confidence and credibility.

5. Adapting to Taxation in the Age of Cryptocurrency

As blockchain gains prominence, cryptocurrency, its most popular application, becomes more prevalent in the business landscape. This widespread use of digital currency presents unique taxation challenges. Take, for example, ‘staking rewards,’ a popular practice in the cryptocurrency world where users participate in the operations of a proof-of-stake (PoS) blockchain network.

To understand the tax implications of these rewards, this comprehensive guide offers valuable insights. By embracing blockchain, the accounting sector can adapt to these evolving taxation norms more seamlessly, providing more accurate and compliant financial services.

6. Cross-Border Transactions: Redefining Global Accounting

The world of business is no longer bound by geographical constraints, yet traditional accounting often falters when handling cross-border transactions. This is where blockchain steps in, offering solutions to the myriad challenges posed by international finance.

Blockchain removes the need for intermediaries, reduces transaction times, and ensures the security of cross-border payments. It brings unprecedented transparency to the process, allowing all parties to view and verify transactions. This not only simplifies the accounting of such transactions but also fortifies trust between parties located thousands of miles apart.

7. Cost Savings and Environmental Considerations

While blockchain’s ability to streamline operations and increase accuracy offers substantial cost savings, it’s also worth considering its impact on the environment. Blockchain, specifically proof-of-work (PoW) based systems, are known for their high energy consumption.

However, newer, more energy-efficient consensus mechanisms such as proof-of-stake (PoS) and delegated proof-of-stake (DPoS) are gaining traction. These systems significantly reduce the environmental footprint of blockchain operations, making the technology not just a cost-effective alternative, but also a more sustainable choice for the accounting industry.

8. Ethical Considerations of Blockchain in Accounting

As blockchain ushers in a new era for accounting, it’s crucial to consider its ethical implications. The immutability and transparency of blockchain carry significant ethical weight. On one hand, it could discourage fraudulent practices and enhance corporate responsibility.

On the other side, it elevate about data privacy. In a world where information is the new currency, striking a balance between transparency and privacy is essential. Accounting professionals must consider these ethical dimensions while embracing the blockchain revolution.

9. Future of Accounting: A Blockchain Perspective

Blockchain technology is poised to redefine the accounting landscape radically. Its promise of transparency, efficiency, and security positions it as a powerful tool in the accounting arsenal. However, the implementation of blockchain in accounting is not without challenges.

There is a need for regulatory frameworks, technology standardization, and professional training to fully harness the potential of this technology.

The future of accounting is undeniably intertwined with the evolution of blockchain. It’s not a question of if, but when and how blockchain will become an integral part of the accounting industry.

Conclusion

Blockchain technology is not just a disruptive force; it’s a catalyst for transformation, challenging the status quo and redefining established practices. As we stand at the crossroads of this new era for accounting, it’s clear that the integration of blockchain offers more than mere upgrades; it offers a paradigm shift.

From enhancing efficiency and accuracy to revolutionizing auditing procedures, from simplifying cross-border transactions to redefining taxation norms in the age of cryptocurrency, blockchain technology is indeed an unconventional ally for accounting.

Yet, like any transformation, it brings with it new challenges and considerations – be it regulatory needs, technological standardization, or ethical concerns. As we navigate these complexities, one thing remains clear: blockchain technology holds the potential to reshape the accounting industry, setting the stage for a future that is more transparent, efficient, and secure.

As business professionals and job seekers, it’s not just about witnessing this transformation. It’s about being part of it, understanding the intricate dance between blockchain and accounting, and leveraging this knowledge for professional growth. Welcome to a new era in accounting – a future empowered by blockchain technology.

The post Blockchain Technology: A New Era for Accounting appeared first on Technology News & Trends.

The security risks associated with dark data are immense, as this data can be exploited by cybercriminals if left unprotected. In our digital age, understanding the nature of dark data and implementing effective cybersecurity measures like data security fabric to safeguard it is as crucial as DDoS mitigation.

This article aims to shed light on the dark data problem and provide practical ways to secure your organization’s data so that you and your client’s information stays safe and uncompromised.

1. The Dark Data Problem

Dark data, a term that might sound ominous to the uninitiated, is an emerging issue in the realm of cybersecurity. In essence, dark data refers to the unstructured, unclassified, and often unused data that organizations generate and accumulate over time.

This digital detritus can range from old emails and unused documents to hidden metadata and transaction logs. While it may seem harmless on the surface, the true menace of dark data lies in its obscurity and lack of governance.

Just as neglected areas of a storeroom may contain overlooked items, these untapped regions of digital storage can house a range of vulnerabilities and risks. Without proper management and oversight, dark data can become a harmful haven for sensitive information, ripe for exploitation by cybercriminals.

The prevalence of dark data in modern organizations is not a matter of if but rather a question of to what extent. The IDC forecasts that global data will surge from 33 zettabytes in 2018 to 175 zettabytes by 2025, with 90 percent likely to be unstructured or classified as dark data. With the rise of remote work, the volume of dark data is only expected to grow.

This increase in data, coupled with the advent of more complex technology systems, contributes to a larger surface area for potential breaches. Furthermore, the sheer volume of data makes it increasingly difficult for organizations to sift through and manage, amplifying the risk.

As we progress in managing data security, it’s vital for organizations to identify and tackle the hidden dangers of dark data. And utilizing up-to-date cybersecurity tools and solutions is key for efficient risk management.

2. Dark Data Security Best Practices

An organization’s ability to protect its dark data is critical for maintaining operational security. As we continue to generate and store vast amounts of data, the risk of it becoming ‘dark’ – unmanaged and unsecured – increases. Here are some best practices to help manage the security risks associated with dark data:

a. Locate Your Data:

The first step in managing dark data is locating it. This can be achieved by building a comprehensive data inventory. This process not only aids in understanding what data is held but also where potential vulnerabilities may lie.

b. Classify Your Data:

Once you’ve located the data, it should be classified accurately. This allows for a better understanding of the data and helps identify what needs to be protected and prioritized.

c. Maintain Regular Data Hygiene:

Regular data hygiene is critical to managing dark data. This involves deleting sensitive personal data that is no longer necessary and minimizing the amount of data collected.

Code-level controls should be designed to support data retention periods to limit the spread of sensitive data throughout the environment.

d. Adopt a Proactive Mindset:

In your cybersecurity strategy, think like an adversary. Use offensive testing method to identify potential breaches and vulnerabilities. This proactive approach aids in uncovering and addressing vulnerabilities before they can be exploited.

Balance Technology with People and Processes: While data loss prevention (DLP) tools can help prevent accidents, they should not be seen as the only solution for data security. Balancing technology with well-documented processes and workflows managed by people with real expertise is essential. This combination ensures a more holistic and practical approach to dark data security.

By adopting these best practices, organizations can better manage the security risks associated with dark data, ensuring a safer digital environment for all stakeholders.

3. Securing All of Your Organization’s Data

Securing an organization’s data, including dark data, is a crucial responsibility that demands ongoing vigilance. A data security fabric emerges as an effective solution to this problem, providing the necessary visibility and control over an organization’s data.

This comprehensive approach to data security allows for the identification and analysis of dark data, thus enabling organizations to guard against potential breaches.

The fabric’s design is inherently flexible and scalable, capable of adapting to data landscape changes and evolving threats beyond traditional perimeter-based defenses. Some advantages of using a data security fabric include:

Streamlined Data Management: Data security fabric centralizes all data, providing a unified viewpoint across the entire organizational ecosystem.

Enhanced Risk Prioritization: This solution assists in identifying and ranking data-related threats, allowing for more strategic deployment of security resources.

Rapid Onboarding and Integration: Data security fabric offers accelerated onboarding periods and flawless assimilation with pre-existing IT and security infrastructure.

Cost-effective Solution: This security solution aids in minimizing tool proliferation and enhancing operational effectiveness, thereby managing the overall expenses associated with data protection.

Compliance Assurance: This framework can automatically detect and report any breaches of compliance or security rules, maintaining constant observance of regulatory norms.

While the dark data problem might remain a persistent threat, organizations are not defenseless. By implementing best practices for dark data security and leveraging solutions like data security fabric, companies can maintain visibility and control over their data.

This approach not only mitigates risks but also streamlines data management, enhances risk prioritization, and ensures regulatory compliance. As we navigate the intricacies of protecting our digital information, being proactive in securing all data – visible and dark – is a necessity, not an option.

The post Managing the Security Risks of Dark Data appeared first on Technology News & Trends.

This evidence, as part of a larger investigation, can be presented in court by law enforcement officials and used to obtain a conviction. Experts in this field make a digital copy of the device that is being investigated and then carry out their examination on the digital copy, while the original is stored securely.

1. Creating a sound and reliable source of evidence

Cybersecurity specialists who work in forensics have to abide by a strict set of legal guidelines to remain compliant and for the report they produce to be admissible as evidence.

They have to produce a highly structured investigation that incorporates a chain of evidence, documented from the first relevant keystroke to the last.

This ensures that they can locate and present a factual account of what happened on the device and who initiated those processes.

Cyber forensics, or digital forensics as it is sometimes known, involves collecting data in such a way that it maintains its integrity. No guesswork or conjecture is used or needed, as the information has been drawn from a digital source that, as long as it is complete, will reveal a trail that can be followed.

However, investigators will also need to evaluate this data to determine whether it was tampered with or altered to throw them off the scent. If they suspect that this is the case, they will concentrate equally on how the changes were made and who was responsible.

2. Specialist knowledge is needed to prevent future attacks

Much of the evidence that cyber forensics teams work with is invisible to the average person. We all have computers in our cars, for instance, which continually gather information on our driving.

Should we be involved in an accident, this could be harnessed to explain what happened by analyzing whether we were speeding, braking suddenly or driving normally.

This is a specialized but fascinating industry that will continue to grow as our use of digital technology increases.

People with a passion for computing who have considered how to become a cybersecurity specialist should look into enrolling on the Master of Science in Cybersecurity at St. Bonaventure University.

This online course combines practical, hands-on learning with academic study and can be completed in just 18 months.

Although computer forensics is useful in solving real-world crimes, it can also be used to recover data that has been lost or corrupted as part of a cyber-attack.

Ideally, all businesses would utilize a data management and governance system with multiple layers of security to keep their customers’ information and proprietary data safe.

This simplifies the forensic process should the company ever become compromised. However, frequently, companies have failings in their security measures, and they can lead to full-blown malware invasions or denial-of-service attacks.

They leave the system in a virtually unusable state, meaning that the network and any attached devices are, essentially, a crime scene. Evidence is found in various formats, from documents to the browsing history of employees and emails that have been sent or received.

3. What process is followed by forensic investigators?

Most investigations carried out by cyber forensics experts tend to follow a standardized pattern. There may be a few variations on this, depending on the crime and the context of the inquiry, as well as the devices and the information they contain. However, generally, these are the key stages that will be covered.

a. The system’s hard drive is copied

Information that is stored on the hard drive of the system has to be copied in a way that keeps it secure. This will often mean that the device has to be physically isolated so that there is no question of it being tampered with while the evidence is collected.

Files, folders and more will be collected and replicated, piece by piece, until every bit of data is gleaned from the drive.

Once completed, this forensic image, or copy, will be stored separately. The original device or devices will be locked, moved to a secure location and kept there to preserve the current condition.

The investigation begins shortly afterwards using the copy. Sometimes this will be combined with information from public sources, such as posts on social media or payments for illegal services on dark web pages.

b. The data collected is verified

Once it has been collected, experts ensure that the data is a full and accurate representation of the original and that nothing appears to be compromised or missing.

c. Copied data is protected from tampering

If information is to be used as evidence in a future prosecution, it needs to be forensically sound. The copy must be compatible with the operating system (OS) that will be used to analyze it, even if it was gathered from a different OS.

During this process, investigators will take steps to ensure that the data is not changed, and they will often use a write blocker to prevent any information from being added or rewritten during their inquiry.

d. Deleted files are extracted from the system

When we click the delete button, most of us feel confident that the information is gone for good. However, deleted files are never really gone, as far as the computer is concerned.

Extracting them can be a laborious process, but these hidden folders or actions can be very telling. Therefore, forensic experts who understand how to recover them will work hard to do so.

e. Free space sections are examined

Space that the computer has not allocated anything to can contain vast amounts of crucial evidence. Getting to it is not easy. It involves a process known as file carving, which can be done using a software tool or manually by someone with experience.

Operating systems use free space in various ways. One is the storing of new files and another is the holding of temporary files. These temporary files, used for cache or backup purposes, may not have been used for years.

Nevertheless, they will stay in position until the computer needs more space and writes over them. Once they are discovered, these files can be recreated and the data they contain is examined.

f. Keywords are used to extend a search

Searching for keywords that are suspicious or have some relevance to the investigation is a tried-and-tested forensics technique. It can save investigators hours of sifting and research by yielding immediate results – assuming that the right keywords are used.

Frequently, they will begin by compiling a list of email addresses, ports, IP addresses, phrases and words that could be connected to an attack or breach. Next, they will input them and examine the network events that are displayed to search for important data.

g. Analysis begins

The final part of the investigation, before the results are handed over to the business or law enforcement, is the analysis.

This will often take place in a sterile environment, using devices that have been wiped (or sterilized) so that they contain no pre-existing data.

Computer forensics uses tools such as mouse jigglers that simulate input. These prevent a computer from falling asleep during long, automated processes and ensure that no data is missed as a result.

h. Reports are presented

Once the report is ready, the cyber forensic investigators present their findings to the legal team of a business or a law enforcement team. It has to be written in language that is accessible to a layperson, as many people do not understand the complex terms used in the industry.

Additionally, rather than reiterating the various processes that have been employed, the report should focus on the task at hand. This means explaining more about the offense, who the offender could be, and how the cybercrime was committed.

4. What different forms of computer forensics are used to manage cybercrime?

Computer forensics can be broken down into several specialisms. Each of these specialisms is focused on a different aspect of information technology. The most commonly used are outlined below.

a. Database forensics

Investigators examine a system’s database to preserve the information it contains and analyze its history. As part of this work, they will retrace historical activity on the system, recover information that was deleted, and determine how the information was altered.

This provides a deeper understanding of the scope of the breach and insight into its wider impact on the organization that was targeted.

b. Email forensics

Once a breach is detected, emails can provide a lot of valuable clues as to who was involved and how the crime was carried out. The details are often found on schedules and contacts, as well as in messages, attachments and passwords.

Monitoring the activities of individuals helps examiners to see whether they were sending hidden messages and to search for proof of their part in the crime.

Email forensics is a great way of tracking data breaches back to a source, whether the individual played an active role in what unfolded, or they innocently opened a malware virus that spread throughout the system.

c. Malware forensics

Malware is found in code, and the programs that carry it are sometimes referred to as ransomware, Trojan horses or, simply, viruses. This malicious software can be designed to carry out various harmful attacks on data, deny access or collect information.

Malware forensics activities will find the virus and the method it used to enter a system. Investigators in this field can establish its impact, the ports it used, and how it could be removed in the future.

d. Memory forensics

Memory forensics can reveal which processes were running during an incident, which users were logged into the system, and which files they had open. It can show what actions were authorized and whether any activity was anomalous, on a device or within the server as a whole.

The data that is collected forms snapshots of the system before, during and after the event took place. This record will allow malware to be tracked back to its sources, even if no evidence has been left behind.

e. Mobile forensics

Mobile devices hold huge amounts of information in the form of searches, phone records, texts and location history. Investigators can use them to look through a person’s contacts, photos and video files to gather evidence.

If a cyber-attack resulted in intellectual property theft, this might also be apparent on a phone because people rely on their devices for data collection, sharing and storing tasks.

Corporations might also turn to mobile forensics if they are concerned that an employee is committing cyber fraud.

The individual’s phone usage may reveal important information about their activities and also their attitude toward the company and their job.

f. Network forensics

People who work in this specialism examine the traffic that moves around a network. To do so, they may use intruder detection systems, firewalls or other tools. They focus on traffic that could be suspicious and involved in a malware event, whether it is stealing information or disrupting daily processes.

The results can be used to prevent further attacks and learn more about how they take hold in the first place. Network forensics is especially important when a system is connected to network-based services such as the internet or an email server – as most are in the modern world.

Investigators look into network protocols to retrieve messages, browsing history and more, and they then reconstruct the event to watch how it unfolded and learn more about it.

5. A crucial role in locating, understanding and preventing attacks

Cyber forensics provides the evidence that law enforcement needs to prosecute criminals. It is also key to understanding how digital crimes are carried out and preventing future attacks.

Investigators use advanced techniques and act quickly, not just to catch perpetrators but also to repair damage and restore systems.

At a time when cybercrime is on the rise, this meticulous work allows companies to get to the heart of an incident and learn how to protect their assets more robustly.

The post How Does Cyber Forensics Help Tackle The Threat Of Cybercrime? appeared first on Technology News & Trends.

The Swiss Cheese Slice Model, which takes its name from the unique holes seen in Swiss cheese, is one such strategy that is gaining popularity.

This concept, created by well-known security expert James Reason, emphasizes the value of using several lines of protection to reduce cyber risks.

This blog post will examine the Swiss Cheese Slice Model’s complexities and show how it can greatly enhance cybersecurity tactics.

1. Understanding the Swiss Cheese Slice Model

The layers of security necessary to properly protect against cyber threats are visualized using the Swiss Cheese Slice Model. A slice of Swiss cheese is used to represent each layer, each with its own set of advantages and disadvantages.

Just like Swiss cheese’s holes don’t always line up, certain security techniques may be vulnerable. The likelihood that a threat will successfully pass through all of the levels and cause injury, however, is greatly decreased when these layers are united.

The model highlights the significance of putting in place numerous layers of defense, each of which includes distinct security measures.

Firewalls, antivirus software, encryption standards, employee awareness programs, intrusion detection systems, and incident response plans are a few examples of these safeguards.

Organizations may make sure that even if one layer of security is compromised, others will be able to stop or lessen future assaults by using a variety of security measures.

2. Implementing the Swiss Cheese Slice Model

To increase cybersecurity defenses, the Swiss Cheese Slice Model must be applied in a methodical and deliberate manner. Businesses should evaluate their security posture on a regular basis, identify and mitigate vulnerabilities, put in place continuous monitoring and reaction mechanisms, encourage staff knowledge and training, and establish layered defenses.

Organizations may build a strong and resilient cybersecurity framework that reduces risks and improves overall protection against evolving cyber threats by incorporating these components.

a. Identifying and Assessing Vulnerabilities

A crucial first step in using the Swiss Cheese Slice Model and improving cybersecurity is recognizing and evaluating vulnerabilities. It entails a thorough assessment of a company’s procedures, systems, and infrastructure to find any potential flaws or points of vulnerability that could be abused by bad actors.

To start, businesses should regularly review their risks in order to pinpoint and rank potential vulnerabilities. This may entail assessing the security of access restrictions, hardware, software, and network infrastructure. Organizations can learn about potential points of entry for attackers and concentrate their efforts on addressing the most important vulnerabilities by conducting thorough assessments.

b. Building Layered Defenses

Establishing numerous levels of security is necessary after weaknesses have been found. Each layer needs to be specifically designed to meet particular threats and vulnerabilities. This can involve installing powerful firewalls, using cutting-edge antivirus software, putting in place strict access controls, and encrypting network equipment.

A key element of the Swiss Cheese Slice Model, antivirus software is made to find, stop, and get rid of malware, or harmful software. It serves as a fundamental line of defense, protecting computer systems and network infrastructure from numerous threats such as spyware, Trojan horses, worms, ransomware, and viruses.

Real-time protection is provided by antivirus software, which continuously checks files, emails, webpages, and other digital assets for known malware signatures or suspicious activity.

c. Promoting Employee Awareness and Training

According to the Swiss Cheese Slice Model, raising employee awareness and offering thorough training are crucial steps in enhancing cybersecurity. Employees frequently serve as the first line of defense against cyber threats since their actions can have a big impact on how secure an organization is as a whole.

Organizations can empower their staff to take an active role in safeguarding sensitive information by teaching workers about best practices, potential dangers, and the significance of cybersecurity.

A variety of subjects should be covered in employee awareness training, including spotting phishing efforts, making strong passwords, using safe browsing practices, and being cautious while handling sensitive data.

Regular updates should be made to this course in order to handle new threats and evolving attack methodologies. Organizations can generate a sense of shared accountability by fostering a culture of security awareness.

d. Continuous Monitoring and Response

The Swiss Cheese Slice Model’s vital components of continuous monitoring and response are what guarantee the efficacy of cybersecurity solutions. The need for enterprises to have real-time visibility into their systems and networks is driven by the rapid evolution of cyber threats.

Organizations may quickly identify, assess, and respond to possible cyber incidents by putting continuous monitoring practices into place and creating strong incident response policies. This reduces the effect of breaches and subsequent threats.

Continuous monitoring entails gathering and analyzing security events and logs data from many sources within the organization’s network using security information and event management (SIEM) solutions, intrusion detection systems (IDS), and other monitoring technologies.

This proactive strategy makes it possible to spot irregularities, signs of compromise, and suspicious activity. By continuously monitoring network traffic, system logs, and user behavior, organizations can detect potential breaches or unauthorized access attempts in real time.

3. Benefits of the Swiss Cheese Slice Model

When used properly, the Swiss Cheese Slice Model offers a number of advantages. By adding numerous levels of defense, it first lowers the possibility that a successful cyber assault would occur.

When one layer is breached, the impact is lessened by other layers acting as barriers. As routine risk assessments and vulnerability scans are necessary for spotting possible vulnerabilities and fortifying defenses, this model also promotes a proactive approach to cybersecurity.

The Swiss Cheese Slice Model also encourages a thorough and all-encompassing cybersecurity approach. Organizations can address diverse threats and vulnerabilities by taking into account numerous layers of security.

This strategy minimizes the chance of a disastrous compromise by ensuring that no single security mechanism is relied upon solely.

Conclusion

The Swiss Cheese Slice Model is an effective framework for raising the bar for cybersecurity procedures. Organizations can increase their resilience against a constantly changing landscape of cyber threats by combining various levels of security.

Regular vulnerability assessments, layering of defenses, staff awareness campaigns, and continuous monitoring and reaction capabilities are essential.

Businesses and individuals can strengthen their security posture and lessen the potential effects of cyberattacks by implementing this concept. In terms of cybersecurity, keep in mind that while a single slice of cheese may have flaws, a stack of slices can offer an effective defense.

The post How To Improve Cyber Security With The Swiss Cheese Slice Model? appeared first on Technology News & Trends.

As reliance on technology increases, engineering management must stay ahead of the curve by adapting to the available tools and techniques.

The emerging technologies that are revolutionizing engineering management

Read on to learn about the emerging technologies that are impacting engineering management and how they take it to the next level.

1. Automation

Automation refers to the use of automated processes and technology to reduce the amount of manual labor required for specific tasks. It is playing a huge role in streamlining production and improving operational efficiency, allowing companies to focus more on innovation and growth.

One way that automation is making an impact on engineering management is by increasing accuracy and precision in manufacturing. This allows more efficient production and reduces wasted materials. It also helps reduce the cost of labor, freeing up funds that can be used for other aspects of the business.

Automation technology can help engineers to identify potential problems and inefficiencies before they become costly issues. Automated systems can also help engineers create 3D models and prototypes more quickly, and reduce the time needed for production and assembly, allowing for shorter lead times and faster product delivery.

To gain such a skill in management engineering, enrolling on uOttawa’s master’s in engineering management would be a great place to start.

The program, which is 100% online, is industry-oriented, leadership-strengthening and an educational experience.

It combines engineering and management skills and has a modular format featuring four concentrations to help you gain the necessary skills that are most in demand in engineering management.

2. The power of data

Engineers are increasingly turning to advanced data science techniques to improve the performance of their organizations and the quality of the products and services they provide.

Data science can help engineers design systems that operate more efficiently and maximize profits, making engineering projects more attractive to potential clients.

The application of advanced analytics to real-time data allows organizations to understand and manage processes more accurately, while predictive analytics enables them to anticipate risks and future needs.

Data scientists need to ensure that the algorithms and analytics used in decision-making processes are free of bias and capable of making unbiased recommendations.

Data security must also be top of mind when leveraging the power of data, as it could potentially compromise intellectual property and put an organization at risk of malicious attack.

As organizations look to embrace data-driven decision-making, they need to consider not only the rewards but also the risks, and be mindful of their approaches when using data in engineering projects.

3. Artificial intelligence in recruiting

As artificial intelligence (AI) continues to gain sophistication, engineering companies are beginning to turn to intelligent bots and machine learning algorithms to identify the best candidates for available positions.

By automating the screening process, organizations can streamline recruitment and free up resources for more in-depth interviewing processes.

For many businesses, the greatest advantage of using AI for recruitment lies in its ability to recognize patterns and draw upon massive amounts of data to identify and recommend qualified candidates.

AI is particularly beneficial when evaluating candidates from remote areas and unfamiliar backgrounds, as it can scan thousands of resumes and shortlist candidates quickly and easily.

AI can undoubtedly help streamline recruitment processes, making the whole process more efficient, less expensive and faster. However, engineers need to be careful to find the right balance between leveraging AI technology and human judgment to ensure that they get the most qualified candidates for their teams.

4. Blockchain technology

Blockchain technology has changed the way that we approach engineering management. It has created a powerful platform for engineering teams to securely store data and facilitate collaboration across teams, while reducing manual efforts.

The benefits of this technology extend far beyond secure storage of data. With the use of blockchain, engineering teams are able to automate certain tasks and streamline the management of their engineering operations.

By reducing manual tasks and centralizing processes, teams can be more productive and cost-efficient. With the added layer of security that blockchain offers, engineering teams can now rest assured that all their sensitive data is safely secured.

5. The Internet of Things

The Internet of Things (IoT) has had a profound impact on engineering management. Instead of spending countless hours and resources manually tracking equipment, IoT allows us to collect real-time data from all connected devices and machines.

This not only allows us to monitor activities more accurately, but also gives us insight into potential issues that could have an effect on operations and productivity.

We are also able to gain a better understanding of how products and services are performing, which helps us make the necessary improvements to ensure the highest level of quality.

With the advent of more connected technology, engineers have an unprecedented level of efficiency and control over their projects.

6. Cybersecurity

With the vast amount of information stored on computers and online, there is a heightened risk of theft or misuse of data. Good cybersecurity is a crucial component of engineering management that requires the implementation of safeguards to protect systems, networks and data from unauthorized access, damage or malicious attacks.

Engineering managers must take an active role in ensuring the protection of their system by implementing the most up-to-date and effective security protocols.

In addition to creating policies that require encryption of data, firewalls and frequent scans of computers, engineering managers should also encourage regular cybersecurity training among staff members.

They should establish partnerships with experienced cybersecurity companies to assist in ensuring that the organization’s information is kept safe.

It is also important to have processes in place to detect and investigate security incidents or vulnerabilities that arise. By utilizing processes to actively monitor for suspicious behavior, engineering managers can more quickly respond to potential breaches and better mitigate damage if and when a breach does occur.

With a concerted effort to incorporate cybersecurity into the fabric of their engineering operations, organizations can protect the most important and valuable aspects of their businesses.

7. The cloud

By enabling users to access, share and store data virtually anywhere and anytime, cloud computing offers numerous advantages to both the engineering and management industries.

For engineering professionals, the cloud allows them to access large-scale databases that enable the analysis of complex problems in an instant.

By using the cloud, engineering professionals can run sophisticated simulations and analytics to gain insights into designs and performance, enabling faster decisions and helping to speed up production time.

On the management side, the cloud is transforming the way that professionals interact and collaborate with each other. Managers can easily coordinate with teams to keep track of project updates, and ensure that everyone is on the same page with projects.

The emergence of cloud technology has had an undeniable impact on the way that both engineering and management professionals operate. Whether you’re a manager looking to boost the performance of a project, or an engineer in need of analyzing complex designs, the cloud provides the solutions that professionals need to succeed.

8. Augmented reality

At its core, augmented reality (AR) enhances the engineering workflow and simplifies tasks and data processing by using a combination of real and virtual components to create an environment with dynamic elements.

With AR, engineering teams are able to bridge the physical world and digital reality by viewing data points and designs in real time.

Additionally, AR is proving to be extremely effective in design visualization, providing engineers with a much better picture of what the end product will look like when completed.

Engineering teams are also able to get an in-depth view of certain tasks that were traditionally tedious and difficult.

With its capabilities, teams are able to easily monitor processes, access safety protocols, and prevent mistakes or defects. This capability provides teams with greater insight into how certain aspects of the process can be improved or corrected.

Its abilities to streamline processes and improve collaboration among teams make it a game changer for the engineering industry. With AR, engineers and engineering managers have access to data, design visualization and real-time information, all of which allow teams to make smarter and more informed decisions, resulting in better products.

9. Drones

By combining computer technology and aeronautics, drones are capable of taking on many different tasks and duties, saving time and energy for businesses. Firstly, the use of drones in engineering management is for surveillance and inspection.

By taking pictures or videos from above, drones can provide an efficient way of evaluating the status of the building, road or construction project from a bird’s eye view. In addition, they can monitor remote areas and can be used to detect environmental anomalies or events.

Drones are also being used in planning and construction. They assist in site and resource management by taking pictures or videos of large areas and analyzing them with advanced software.

Finally, drones are increasingly used to boost safety standards on projects. They are now being used to patrol the premises and construction sites and to assess potential hazards or damage. They can help spot emergency issues in a quicker, easier way, improving response times and ultimately leading to fewer injuries.

10. Three ways that emerging technologies are being used to improve the engineering process

New technologies are changing engineering education and the way that engineers work, allowing them to be more efficient, accurate and cost-effective. By leveraging these technologies, engineers are able to create more innovative solutions to complex problems.

a. The use of 3D printing in prototyping

3D printing makes it possible to create prototypes faster and with more accuracy than ever before. This allows engineers to develop and refine their products at a much faster rate.

Instead of relying on traditional manufacturing techniques such as injection molding, 3D printing allows engineers to quickly and easily create highly detailed and intricate parts. By creating prototypes faster, engineers can evaluate multiple design iterations quickly, enabling them to create better products in less time.

Additionally, 3D printing can significantly reduce costs associated with prototyping. These cost savings allow engineers to spend more resources on the actual product development, which leads to more innovative designs and better products overall.

b. The use of data analytics in decision-making

The technology and methods behind data analytics are becoming increasingly powerful and effective in optimizing engineering projects and informing key decisions. Data analytics takes large amounts of information and analyzes it to form patterns and trends that provide deep insights into processes.

This information can then be used to accurately assess the viability and efficiency of certain approaches and models, helping engineers identify the most cost-effective solutions for their projects. By eliminating traditional guesswork and subjective judgement, data analytics is introducing unprecedented levels of accuracy and reliability to decision-making.

Data analytics has also made it much easier to visualize complex concepts and ideas in engineering. With this improved visual ability, engineering teams can quickly understand how to achieve the best results with their resources.

Through sophisticated predictive models and visual tools, data analytics is providing a valuable new tool for engineers to optimize their work and develop better and cost-effective solutions.

c. The use of robotics in manufacturing

Not only have robots replaced manual labor, but they have also made it possible to manufacture products with higher precision and quality than ever before.

With the emergence of advanced technologies such as AI, the role of robotics in the engineering process is only becoming more important.

From car parts to medical devices, robots are quickly becoming the cornerstone of many production facilities. Their increased accuracy, agility and reliability make them a better choice for some tasks compared to human labor.

Final thoughts

As technology continues to evolve and innovate, so also does the way that engineering management operates. Emerging technologies have opened up a world of possibilities and revolutionized the way that engineers work, providing them with the tools and resources to be more efficient and productive.

These technologies are transforming how engineering projects are completed, making it easier than ever to build, maintain and deploy complex systems. They can be used to revolutionize the engineering process and provide a more efficient, cost-effective and safe solution.

In a world that is constantly changing and evolving, it’s important for engineering managers to stay up to date with the latest trends and technologies to remain competitive in their field.

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QA engineers play a critical role in ensuring that software meets the required standards and satisfies customer needs. In this article, we will discuss whether good QA contributes to good cybersecurity and the importance of hiring QA engineers.

1. Why Good QA Contributes to Good Cybersecurity?

Below, I have written some points that explain why having good QA can contribute to good cybersecurity as follows:

a. Comprehensive Testing:

QA engineers are responsible for testing software thoroughly to identify any defects or vulnerabilities that could be exploited by attackers. They perform various types of testing, including functional testing, integration testing, security testing, and performance testing.

By performing comprehensive testing, QA engineers can identify and report any vulnerabilities or weaknesses in the software, allowing the development team to address them before the software is released.

b. Compliance with Industry Standards and Best Practices:

QA engineers can ensure that the software is developed in compliance with industry standards and best practices. For example, they can ensure that the software adheres to the OWASP (Open Web Application Security Project) guidelines, which provide a set of best practices for developing secure web applications. By following these guidelines, QA engineers can help ensure that the software is developed with security in mind, reducing the risk of vulnerabilities and security breaches.

c. Addressing Security Risks and Threats:

QA engineers can help identify and address any security risks or threats that may arise during the software development lifecycle.

For example, they can identify any weaknesses in the development process that could be exploited by attackers, such as inadequate security controls or poor code management practices.

By addressing these risks, QA engineers can help improve the overall security posture of the software and reduce the risk of security breaches.

d. Testing Against Various Threat Scenarios:

QA engineers can help ensure that the software is tested and validated against various threat scenarios. By simulating different types of attacks, such as denial of service (DoS) attacks or SQL injection attacks, QA engineers can identify any vulnerabilities that may be exploited by attackers.

By testing the software against these threat scenarios, QA engineers can help ensure that the software is developed with security in mind and is robust enough to withstand potential attacks.

e. Developing Software with a Strong Security Mindset:

QA engineers can work closely with the security team to ensure that the software is developed with a strong security mindset. By collaborating with the security team, QA engineers can help identify potential security risks early in the development process and ensure that appropriate security controls are implemented.

This can help ensure that the software is developed with security in mind from the outset, reducing the risk of vulnerabilities and security breaches.

f. Continuous Security Monitoring and Collaboration for Updated Security Controls:

QA engineers can work closely with the security team to ensure that the software is developed with a strong security mindset. By collaborating with the security team, QA engineers can help identify potential security risks early in the development process and ensure that appropriate security controls are implemented.

This can help ensure that the software is developed with security in mind from the outset, reducing the risk of vulnerabilities and security breaches.

2. The Importance of Hiring QA Engineers:

If you are looking to improve your software’s security posture, hiring QA engineers is a great place to start. QA engineers bring a wealth of knowledge and expertise to the development process, and they can help ensure that the software is developed with security in mind.

At JayDevs, we provide staff augmentation services that allow you to hire QA engineers on a project basis or as part of your development team. Our QA engineers are experienced in various testing methodologies and tools and can help ensure that your software is thoroughly tested and validated against various threat scenarios.

Conclusion:

Good QA contributes significantly to good cybersecurity. By identifying and addressing vulnerabilities and weaknesses in the software, ensuring compliance with industry standards and best practices, addressing security risks and threats, and testing the software against various threat scenarios, QA engineers can help improve the overall security posture of the software and reduce the risk of security breaches.

If you are looking to improve your software’s security posture, consider hiring QA engineers from JayDevs.

Our team of experienced QA engineers can help ensure that your software is thoroughly tested and validated against various threat scenarios, improving your software’s security and reducing the risk of security breaches. Contact us today to learn more.

The post Does Good QA Contribute to Good Cybersecurity? appeared first on Technology News & Trends.

Cloud computing solutions depend heavily on the Internet of Things (IoT). But therein lies the problem, as this exposes you to cyber threats. The rate of cyber-criminal activity has been on the rise. Therefore, businesses must have strong cybersecurity defenses set up.

Most cloud solutions come packaged as software as a service (SaaS) products. Even though cloud systems are relatively secure, they’re still not completely immune to cyberattacks. That’s why cloud security is essential.

Ensure to choose a cloud security service provider based on your needs. Your decision will likely come down to adopting either Cloud Infrastructure Entitlement Management (CIEM) or Cloud Security Posture Management (CSPM). When choosing between CIEM vs. CSPM, keep in mind that both tools have unique applications in cloud security infrastructures.

Therefore, you’ll have to employ the one which best meets your cloud security needs. Here’s a guide to choosing the right cloud security solutions for your business.

1. Assess Reliability And Performance

You shouldn’t rely on just online reviews to verify the reliability of a SaaS company. Comparing their performance in the last few months against their service level agreements (SLA) is a better approach. It should be noted that you may have to request these materials directly as certain service providers may not publish them.

Because downtime is commonplace, it’s improbable that you’ll find a service provider with a flawless performance record. However, you must observe how they dealt with that downtime. That’s what matters most.

Check that they have access to proper reporting and monitoring tools. You must also check whether they have strategies and procedures that outline how they intend to cope with unanticipated downtimes.

2. Consider Data Governance And Security

Your company should ideally have a data management policy in place. This will outline how your firm or organization manages data to maintain security. In this case, you should seek service providers who can satisfy your specific data management and security requirements.

First, find out where and how the service provider stores their data. A service provider should ideally be forthcoming with this information. You also need to know the company’s policies concerning data privacy and personal data governance.

You must also inquire whether it is possible to encrypt data in transit over the cloud. Encryption is a critical tool for ensuring data security, and it would be beneficial if your cloud solution provider employed it.

Find out the service provider’s policy for dealing with data loss or breaches. Even if they have sophisticated security protocols, there is no assurance that a breach will not occur. It’s always ideal to have a proactive approach to cybersecurity, which demands you to do vulnerability testing regularly to avoid breaches. A service provider with no data loss or breach recovery plan may be a red flag.

3. Consider Technology And Support Services

Check whether the features of your prospective cloud solution align with your goals and objectives. You must also confirm the range of services on offer. For example, some service providers offer around-the-clock assistance. Some service providers could also provide personnel support in areas with skills gaps in your business—think managed IT services.

Nevertheless, if you want to stick to one or a few service providers, you want to ensure they have all the services you could need. But if you don’t mind having several cloud service providers, this may not be a deal breaker.

4. Consider Migration Support

Check whether your service provider has procedures and resources to help with cloud migration. Most cloud service providers have this option. But, to be sure, you should inquire directly. Be wary of companies that require vendor lock-in since this makes it difficult to switch to a different service provider.

5. Check For Certifications

Before working with a service provider, verify whether they follow industry best practices and standards. You may visit their website to determine whether they have certificates or accreditation.

Certificates are important since they demonstrate compliance. Ascertain whether the service provider followed any of the existing cybersecurity guidelines. There are numerous certificates that one may obtain, so having more than one is a good sign.

6. Review Service Level Agreements (SLA)

Before entering any arrangement, consider the terms and conditions outlined in the contract or SLA. You must ensure that it has a penalty or an exit clause. These provisions will safeguard you if the service provider fails to fulfill contractual duties. This makes them liable should they fail to fulfill agreed-upon service levels.

Conclusion

Cloud security is crucial for any business which uses cloud-based solutions. Make sure the cloud solutions you choose have the security features your company needs. Additionally, it would be best to thoroughly research your options to determine which best meets your requirements. Consider all of the features and packages that they provide. Afterward, choose the best one for you.

The post A Short Guide To Choosing The Right Cloud Security Solutions For Your Business appeared first on Technology News & Trends.

The level of connectivity has increased significantly. Networks don’t look the same as they did ten years ago, thanks to VPNs and other technologies, mobile devices, and Internet of Things (IoT) technology. 

A hacker who gains access to your network will attempt to hide to avoid being discovered. However, transmitting data outside of a network or uploading attack tools causes activity that could reveal their presence or, at the very least, trigger red flags.

Attackers take the time to obscure their trail as much as possible because they know that the network might reveal them. There are cloud ipam solutions for enterprise than can keep your network safe and secure.

Network visibility: What is it?

The concept of network visibility states that you are aware of everything occurring on and via your network, establishing the norm for your business.

The first stage in achieving cyber situational awareness, which entails knowing your network, your dangers, and how to handle those threats, is completed with the help of network visibility, which is essential to cyber security.

Steps to achieving network visibility

1. Reliable And Efficient Data Collecting

Using automated technologies to collect and analyze crucial data is a simple and affordable method to get visibility, regardless of whether you run a small business or a mid-sized enterprise. The amount of data produced by networks makes it ineffective to go through it all manually.

Using a tool eliminates the monotony. However, various threat monitoring products with multiple features and functionalities are available. For information and analysis, many cyber security solutions rely on text-based logs. 

Look for a cyber security product that goes beyond logging in for a deeper insight into what’s happening on your network if you want to improve network visibility.

Network visibility entails more than merely gathering enormous amounts of data and keeping it in one place for safety. The detection and analysis of threats and vulnerabilities intelligently are also essential for increased visibility.

2. Expert-Assisted Threat Analysis

The analysis is the next stage in attaining network visibility. The objectives include:

• Recognizing significant trends.
• Separating the extraordinary from the regular.
• Receiving the data in an easily understandable format.

3. Contextual, easy-to-understand alerts

Understanding what is wrong—vulnerabilities, cyberattacks, and other problems—and how to fix it is essential for network visibility. It’s crucial how results and data are presented to you. If the main point is lost in translation, what use is data analysis?

Knowing the appropriate action after receiving an alert requires precise, concise wording. What should you do to address your network’s suspicious or malicious activity now that you are aware of it? Businesses need greater context and information about their network’s training to decide what to do. 

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