Cybersecurity has continued to evolve as technology has advanced. Security software is smarter and more efficient than ever before and with the advances in AI and machine learning, we can expect this trend to continue well into the future. The next phase in cybersecurity innovation seems to be the use of AI to automate and improve security processes. Companies like darktrace and blackberry have made statements that they are looking to integrate their cybersecurity products with AI as a means to get a competitive edge over the competition. Here are some of the ways that we can expect AI to change cybersecurity operations:
Automation of Basic Tasks: As most people expect AI has a huge potential to take over simple tasks and even certain jobs. In the area of cybersecurity, automation can affect the administrative positions, creating computer scripts that perform certain tasks, remediating low-level SOC alerts, and other simple and repetitive tasks.
Less False Positives: AI can refine security software so that it produces fewer false positives. A large number of false positives reduces the efficiency of the security operations center (SOC) by taking up the time of the analyst as well as making the analyst less likely to properly investigate true positives. This Is commonly due to the mental fatigue associated with seeing multiple false positives and then assuming that true positives are also false positives.
Better Anomaly Detection: Anomaly detection is the process of identifying malicious behavior based on pre-established patterns of behavior. This is often a superior alternative to using signature-based detection or looking for specific patterns of malicious behavior. AI allows machines to effectively learn what non-malicious behavior looks like and detect anything that operates outside of that.
Next-gen deceptive technology: In the past, the only deceptive security feature most companies would have is a honeypot, if you’re not familiar a honeypot is a computer device that sits on a network and mimics a real production system. The purpose of it is to attract a hacker’s attention and get them to waste time attacking the honeypot instead of a production machine. This gives the company time to examine what the hacker is after, the techniques they are using, and protects the production machines. The problem with traditional honeypots was that attackers could easily tell the difference and therefore they weren’t very effective. However, next-generation deceptive technology can make real-time adjustments to be more deceiving and gather more information on attacker patterns compared to the previous tech. If you would like to have a custom honeypot setup on your network feel free to contact us and ask about our nowyouknow custom honeypot.
How to get more free content
If you like this article and would like to read more of our content for cybersecurity insights, tips and tricks feel free to follow us on our social media. If you’re a struggling business owner who needs help in assessing their business’s cybersecurity posture feel free to take advantage of our free introductory assessment and we’ll help you figure out a game plan for keeping your company safe.
