By harnessing AI capabilities to strengthen and reinforce defense systems, organizations could enhance resilience and protect against evolving cybersecurity threats.
While real-time risk prediction in security breaches using AI has several advantages, it also has some limitations.AI systems may generate false positives, flagging activities or behaviors as potential security breaches when they are not actually threatening. This can lead to unnecessary alerts and an increased workload for security teams.AI systems may struggle to fully understand the context of certain activities, which can result in missed or misinterpreted threats.
They may employ tactics such as social-mode-engineering, email-spoofing and new-advanced obfuscation modes to make their phishing attempts more convincing and bypass AI-based detection systems that are nonhuman in nature. As a result, there is an ongoing cat-mouse chase between AI-powered phishing detection tools and the evolving tactics being used by attackers.
According to estimates, the market for artificial intelligence in cybersecurity will be about $13.29 billion in the recent half of the decade, and it is anticipated to increase at a CAGR of
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