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5 Steps to Defend the AI Attack Surface While Securing It

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5 Steps to Defend the AI Attack Surface While Securing It

AI adoption has created a dual attack surface: defenders face machine-speed attacks from external threat actors while internally managing rapid, often unsanctioned deployment of AI tools across the enterprise. The article outlines five defensive practices: automate detection and response to match attacker speed, govern internal AI adoption with visibility and compliance controls, scope agent permissions strictly, continuously validate defenses through attack-path mapping and live testing, and establish governance that balances security with business velocity.

Why it matters: Security teams and leadership must act now to prevent the 75% of employees already sharing sensitive data with unapproved AI from creating compliance incidents; defenders require automation and continuous validation to detect and contain attacks in minutes rather than days, and governance that enables rather than blocks AI adoption to reduce insider risk.

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