The applied use of AI and machine learning in cybersecurity


In this first article in a three-part series, we take a look at machine learning and artificial intelligence and show how they can help modern cybersecurity solutions like ARIA ADR detect and stop cyber attacks. Stay tuned for future articles that highlight specific machine learning and AI use cases.

Cyber ​​security solutions that rely on traditional research and static detection processes may have worked for some threats. Yet they are largely ineffective in finding zero-day threats like malware, ransomware, and sophisticated intrusion methods.

Yet even when threats or actual breaches are identified, most approaches tend to take hours, if not days, weeks, months, or even years, far too long to avoid any damage being done. This challenge is compounded by the fact that it takes human analysts to comb through security alerts and other “noise” to investigate possible threats to determine what may be real. Unfortunately, this is true even for companies with a full set of specialized cybersecurity teams, systems, and other resources.

For proof, it suffices to consider the recent Solar winds and Microsoft Exchange attacks. Each of these are examples of highly sophisticated zero-day malware attacks that have successfully taken advantage of vulnerabilities at the perimeter, device, or application defense level. In other cases, ransomware has also been turned into weapons and often spreads undetected in an organization such as the recent high-profile case of Colonial pipeline.

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Related blogs

Although the SolarWinds, Microsoft Exchange, and Colonial Pipeline examples are some of the most significant and recent attacks, we have also documented the 9 different types of attacks you should be prepared for as good as the ten most important cyberattacks of 2020.

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As cyberattackers continue to become more sophisticated and determined to stay ahead of the good guys, it’s clear that more innovation is needed. We have reached the point where cybercrime is even an illicit activity and a source of income for hackers, especially when it comes to ransomware. Today, machine learning (ML) and artificial intelligence (AI) help cutting edge solutions, such as ARIA ADR provide much better managed threat identification, containment and resolution.

Machine learning in cybersecurity

Machine learning is the perfect application for cybersecurity because it starts by defining the normal behavior of devices, networks or applications, and then uses it to establish and determine the abnormal behaviors.

Our ARIA ADR solution uses machine learning to take existing threat models and their behavior data, then feed them into model-based detection models to detect the following types of behaviors (and more), all of this. without the need for analysts or human users:

  • Network analyzes
  • Unauthorized communication attempts
  • Unauthorized connections
  • Abnormal / malicious use of identifiers
  • Brute force connection attempts
  • Unusual data movement
  • Data exfiltration

Thanks to this advanced information, ARIA ADR is able to automatically detect attacks in real time that other tools cannot.

The advantage of AI in cybersecurity

Artificial intelligence also plays an important role in cybersecurity. Take, for example, the overwhelming volume of threat alerts cybersecurity teams receive every day, in most cases over 5,000 a day. In this case, AI can feed them through powerful threat models to assign severity profiles so that busy security teams can quickly investigate alerts that may be higher risk than others that are just noise “. This drastically reduces the number of alerts to be processed each day.

Using artificial intelligence in cybersecurity tools like our ARIA ADR solution really becomes a win-win: not only do they help detect real threats, but they do so much faster than previous methods. For example, when human teams may need days (or even more), these AI capabilities can complete the scan in just seconds.

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Associated resources

Interested in learning more about ARIA ADR and its advanced machine learning and artificial intelligence capabilities? Download our technical review, “ARIA ADR: advanced detection and response“or watch our short video,”Presentation of the ARIA ADR cybersecurity product” today.

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ARIA ADR: A modern cybersecurity solution, based on ML and AI

ARIA Cybersecurity Solutions designed the ARIA ADR solution to detect, verify and stop all types of cyber attacks, automatically and in real time. ARIA ADR uses machine learning and AI to detect threats and attacks through their unique and revealing behaviors. This approach works because attackers cannot hide. With over 70 built-in threat behavior models, it covers all types of modern threats and attacks.

In addition, since it does not rely on signatures or SIEM-based static rule detection methods, ARIA ADR can detect unprecedented threats such as zero-day attacks and fileless ransomware. ARIA ADR also learns and finds threats or abnormal attack behaviors using machine learning to distinguish abnormal behaviors from normal devices, applications and / or users.

In addition, ARIA ADR uses powerful AI security capabilities to correlate relevant threat indicators to identify, verify the type of threat, identify its targets and assign an overall severity score to prioritize each. threatens. ARIA ADR’s AI capability helps find actual threats and potential attacks from all the background noise and even intentional obfuscation techniques.

Interested in finding out more? Stay tuned for two more articles in this series where we take a look at a number of real-world use cases to see how ARIA ADR’s ML and AI capabilities can overcome the challenges of traditional cybersecurity solutions. .

Or if you want to know more about ARIA ADR, and how it can present a new approach to cybersecurity, please see our ARIA ADR: advanced detection and response today.

About ARIA Cyber ​​Security Solutions

ARIA Cybersecurity Solutions recognizes that better, stronger and more effective cybersecurity starts with a smarter approach. Our solutions offer new ways to monitor all internal network traffic, while capturing and delivering the right data to existing security tools to improve threat detection and surgically disrupt intrusions. Customers across industries rely on our solutions every day to accelerate incident response, automate breach detection, and protect their most critical assets and applications. With a proven track record in supporting the Department of Defense and numerous intelligence agencies in their war on terrorism, and an award-winning portfolio of security solutions, ARIA Cybersecurity Solutions is committed to paving the way for cybersecurity success.


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