The Importance of Continuous Monitoring in Cybersecurity

Now more than ever, businesses are under a constant threat of malicious attacks. With so many dangers looming around the corner, you need to implement continuous monitoring procedures to safeguard your valuable data. Not only does this methodology address incoming security risks, but it also ensures regulatory compliance.

By using advanced software and staying on top of things, you minimize damage from cyber-attacks. In this article, we’ll talk about the benefits of continuous monitoring and the impact of modern artificial intelligence solutions.

How Does Continuous Monitoring Work?

Continuous cybersecurity monitoring is a long-term surveillance and analysis process. Experts use it to track the state of the client’s infrastructure and software, which would allow early vulnerability detection. The methodology flags any risks and anomalies that would harm your systems.

Continuous monitoring relies on various sources. You can gain insights by analyzing metrics and checking logs and past events. Most importantly, you can request fragmented data, which would help you dissect various groups of systems.

AI and Continuous Monitoring

If you wish to perform continuous monitoring the right way, you need to track controls over time. Specifically, you need to make sure your systems don’t lose their effectiveness and become vulnerable to external threats. Unfortunately, as we’re dealing with large cybersecurity infrastructure, it becomes hard manually monitoring all these processes.

Because of that, companies have eventually switched to automatic solutions. Platforms such as Fortinet, Trellix, and QFunction’s AI-based threat hunting solution, have reshaped the face of this dynamic market. By relying on these solutions, you can make your IT security processes much more cost-efficient.

The best thing about these platforms is that they give you a dynamic view of controls. Through AI data collection, assessment, and reporting, IT experts are able to track a much higher number of relevant security metrics. Not only that, but they can also save resources while acquiring larger data samples.

The Process of AI Monitoring

Monitoring your systems over time requires advanced tools. With this technology, you’re able to gather information, analyze it, and respond to any potential risk that might arise. The best thing about AI-driven solutions is that they work in real-time, allowing IT experts to react in a blink of an eye.

Here’s what you need to do to ensure full-scale AI protection:

  • Gather data – AI software allows you to gather information from numerous sources. Among others, you can analyze network traffic, tap into logs, and check security devices.
  • Normalize data – Collecting data isn’t enough in itself; you also need to give it a form. By standardizing data and placing it in the same format, you can prepare for a full-scale analysis.
  • Analyze data – By relying on statistical analysis and machine learning, you can track down vulnerabilities in your system.
  • Monitor treats – Detecting threats on time is vital for their elimination. After identifying issues, you can categorize them and prioritize them based on severity.
  • Respond to treats – Another great thing about AI solutions is that you can automate your responses. You can instruct the program how to react depending on the spread and severity of an issue.
  • Remedy the problem – Once you contain the threat, you need to address the core of the problem. Track down the vulnerability that caused the problem in the first place and prevent future threats.

With the power of artificial intelligence, you introduce measures that ensure full safety for your business. Predictive analytics, in particular, helps you stay ahead of the attackers. Automation also assists through fast responses, mitigating the damages as much as possible.

Continuous monitoring is vital for any company with a vast IT infrastructure. By reducing human involvement, you eliminate most of the errors that were plaguing your systems. As such, your IT experts can tackle high-priority tasks instead of trying to oversee the entire cyber environment.

Best Practices for Continuous Monitoring

Like any other cybersecurity procedure, you must implement best practices to get the most out of AI monitoring. Here are a few things you have to keep in mind:

  • Define your objectives well in advance. Determine your most vital data and how you would protect it in case of emergency. Perform regular risk assessments to get a better understanding of the biggest threats.
  • Introduce KPIs that will measure the effectiveness of your cybersecurity policies. Analyze procedures at every level of the company.
  • Determine the minimal acceptable security. By establishing basic system behavior and network features, you can easily identify any suspicious activity that might jeopardize it.
  • Rely on numerous sources to have a better view of your network and vulnerabilities.
  • Rely on threat intelligence feeds to detect indicators of an attack. Track the latest methods of attack and develop strategies around them.
  • Mark devices and assets that can connect to your network without raising a red flag. Manage settings for various systems and perform regular updates to address existing vulnerabilities. With the introduction of AI, you can reduce the need for micromanagement and achieve better results with less invested time.
  • Don’t completely overlook manual processes. However, when you do decide to use them, make sure they’re easy to repeat. Introduce manual processes for labor-intensive tasks that require a lot of expertise.
  • With AI, you can easily streamline various monitoring processes. This advanced technology minimizes employee errors and performs log collection and analysis.
  • Try to rely on real-time solutions whenever you can. Check out what’s happening with your environment and whether you’re keeping up with compliance.
  • Pinpoint any anomaly within the system. With advanced tools, you can detect anything that is a potential threat to your cybersecurity network.
  • Always use audits. Analyzing your security procedures every once in a while will ensure your continuous monitoring yields the required results.

Conclusion

With the help of AI, you can introduce continuous monitoring of your company’s network. Supplement automatic procedures with human expertise to quickly detect vulnerabilities and anomalies that can harm your business. 

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