"In 2026, the mass personalization of cyberattacks will disrupt the classical kill chain model, which relies on observing and then reacting to stop threats. Attackers will leverage AI to understand business's unique vulnerabilities and craft personalized, novel software for each enterprise. This means every organization will see a massive rise in sophisticated, tailored attacks that are not known to the majority of their current security tools, pitting them in a race against time to spot the attack and respond before sustaining widespread damage."
"AI will also lead to the development of malware that can adapt and evade defensive measures, posing a significant threat to cybersecurity teams. These make it less likely that the novel attacks mentioned above will be detected before they can do large scale damage. AI-powered, autonomous malware will be capable of changing code and behavior to avoid detection, making it harder for security systems to identify and neutralize it."
AI proliferation has caused a sharp rise in cyberattacks that outmaneuver legacy defenses. Organizations must shift from reactive to anticipatory security models and redesign security stacks to preempt attacks. Attackers will use AI to map unique business vulnerabilities and produce personalized malware tailored to each enterprise, creating novel threats that evade most current tools. AI-enabled autonomous malware will adapt behavior and code to avoid detection, reducing the likelihood of early identification and increasing potential damage. Security teams must develop new preemptive approaches, optimize workflows, and accelerate implementation to mitigate these evolving, highly personalized threats.
Read at Fast Company
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