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AI agents bypass traditional security by operating within enterprise systems

AI agents pose a significant security risk not by hacking into systems, but by operating within them using legitimate credentials. These agents can access sensitive data, trigger workflows, and execute actions across interconnected systems by leveraging valid identities through methods like OAuth tokens or cloud roles. Traditional Identity and Access Management (IAM) systems, designed for human users with predictable behavior, are ill-equipped to govern the autonomous and dynamic nature of AI agents, necessitating a shift towards continuous evaluation of agent behavior and access over time. AI

IMPACT AI agents operating with legitimate credentials necessitate a re-evaluation of enterprise security models beyond traditional threat vectors.

RANK_REASON The item is an opinion piece discussing the security implications of AI agents, rather than a direct release or research finding.

Read on Forbes — Innovation →

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AI agents bypass traditional security by operating within enterprise systems

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Itamar Apelblat, Forbes Councils Member ·

    ​AI Agents Don’t Hack Their Way In—They’re Already Inside

    Without accountability, agents quickly become shared infrastructure with expanding privileges and no meaningful governance.