AI agents are accelerating software development—but at a cost: faster, wider-reaching damage from internal threats. Last year, 68 security incidents tied to AI in DevOps platforms surged in the second half of the year, exposing gaps in traditional access controls. Once authenticated, AI actions are trusted blindly, leaving businesses vulnerable to catastrophic errors—like the PocketOS incident where an AI wiped a production database and backups in nine seconds. To survive, companies must adopt immutable, physically isolated backups and restore full context—not just code—to ensure rapid recovery when AI goes rogue.
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