How AI improves the threat-hunting experience
More than 90% of enterprises view threat hunting as difficult. More precisely, 71% of respondents claim that it can be challenging to decide which warnings to check first and to collect enough information to determine whether a signal is harmful.
The fact that no cyber security measure is ever 100% successful makes threat hunting essential. Rather than relying solely on security technologies that may be installed once and forgotten, an active defense is required.
However, even with aggressive threat hunting, a lot of persistent dangers frequently go unnoticed until it's too late. That was the case, at least, in the past.
The game is evolving due to artificial intelligence. According to Dr. Dorit Dor, CTO of Check Point, threat hunting is a task "...that could be accelerated, or in some cases replaced, by AI."
Develop your ability to hunt threats.
Due to the nature of hybrid environments, many threat hunters struggle with visibility blind zones, non-interoperable technologies, and increasing complexity. However, with the correct equipment, threat hunters can swiftly control threats, reducing the possible damage and costs of an attack.
1. Self-learning. Threat hunting can be aided by AI-powered cyber security solutions that can refresh their internal knowledge bases and learn from new threats. This degree of auto-adaptability is essential in current high-risk digital environments because it keeps security personnel ahead of potential threats.
2. Scale and speed. Real-time processing of large amounts of data is also possible with AI-powered threat hunting systems. This makes it possible to identify patterns and compromise indicators quickly and widely, something that has never been possible previously.
3. analytics that predict. AI-powered engines can then forecast possible threat vectors and weaknesses by analyzing the historical data of your firm. Security personnel can then take preemptive measures to mitigate these problems.
4.cooperative threat hunting. AI-based solutions that correlate data from many sources might help security experts collaborate more easily. Then, they can point out links that might pose a hazard but that neither side would have noticed on their own. This might be quite significant.
5.automated reaction. AI security systems have the ability to identify dangers and then automate responses to certain sorts of attacks. AI can, for example, isolate compromised systems or ban specific IP addresses, which lowers response times and friction.
Unspoken difficulties
AI-based tools can be trustworthy friends for danger hunters, but they are not yet able to take the place of human analysts. Human employees make sure that cyber dangers are contextualized and understood in a sophisticated way.
The appropriate resolution
When it comes to threat hunting solutions that are powered by AI, what should you look for? Tools that provide deep, contextualized insights should be given priority. Make sure that endpoints, networks, mobile devices, email, and cloud cross-correlate to find the most cunning and advanced cyberattacks. Ensure that the entire area of your security is safeguarded.
Source: CyberTalk.Org
