Top 10 Methods AI Can Assist Firms in Combating Cyberthreats

Traditional security methods, although providing a basic level of defense, heavily depend on preset signatures and a narrow interpretation of what is considered “unusual.

Traditional security methods, although providing a basic level of defense, heavily depend on preset signatures and a narrow interpretation of what is considered “unusual.” They frequently employ a reactive strategy, might be compartmentalized, thus hindering information exchange, and lack the flexibility to cope with the massive amount of data produced by today’s intricate IT systems.

This is the point where artificial intelligence takes charge.

Within this exclusive feature on TechRepublic Premium, created by Avya Chaudhary, delve deeper into this significant cybersecurity issue, gain insights from professionals, and master the art of safeguarding your enterprise. The material provides guidance from Mary Ann Miller, VP evangelist & fraud executive advisor at Prove Identity, and Amit Patel, senior vice president at Consulting Solutions.

    Highlighted content from the material:

    An investigation conducted by Bain has unveiled a rush for generative AI, predominantly in the initial stages of combatting threats — threat discovery. In contrast to the other stages in the SANS incident response model — readiness, restriction, elimination, recovery, and analytics – detection represents the most extensive segment of AI implementation.

    Nonetheless, the real strength of AI lies in its potential to transcend mere threat identification towards pre-emptive threat tracking. AI utilities spontaneously formulate threat detection queries, sift through the data, and exhibit potential threats without necessitating manual input of SQL queries.

    In this context, AI can serve as an enhancement platform for formulating hypotheses, guiding security analysts in refining intuitions and suppositions into structured forecasting of threats. Currently, an analyst speculating on lateral movement can employ AI to sift through incident records and network traffic records for both incoming and outgoing connections while sieving out specific protocols associated with lateral movement, without the need to create detailed queries targeting Server Message Block or attempts to establish remote desktop connections.

Enhance your expertise in AI and cybersecurity through our comprehensive 11-page PDF guide. Acquire it through a fee of $9. Alternatively, gain free access with a Premium annual subscription. Discover more by clicking here.

TIME EXPENDED: The production of this content involved 22 hours of dedicated labor encompassing writing, editing, research, and design.

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