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Defending SOCs Under Siege: Battling Adversarial AI Attacks
With 77% of enterprises victimized by adversarial AI, the question isn't if your Security Operations Center (SOC) will be targeted—it's when.
Nir Zuk, CTO of Palo Alto Networks, framed it starkly in an interview with VentureBeat earlier this year: Machine learning assumes adversaries are already inside, and this demands real-time responsiveness to stealthy attacks. To counter these risks, the researchers propose defenses such as having SOC teams initiate and manage sandboxing — limiting the agent’s operational scope — and encrypted workflows that protect sensitive interactions, creating a controlled environment to contain potential exploits. Dealing with alert fatigue, turnover of key staff, incomplete and inconsistent data on threats, and systems designed to protect perimeters and not identities, SOC teams are at a disadvantage against attackers’ growing AI arsenals.
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