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Machine Identities Explode: Can IAM Keep Up With 82:1 Ratio?
Machine identities, particularly AI agents, now vastly outnumber human users, exposing critical vulnerabilities due to legacy Identity and Access Management (IAM) systems designed for human-centric access. This shift necessitates a new approach to IAM, prioritizing machine identity governance to mitigate risks like AI agent abuse, which Gartner predicts will be the source of 25% of enterprise breaches by 2028. Enterprises are increasingly investing in identity-centric security solutions, recognizing that identity, rather than the AI models themselves, is becoming the central control point for managing AI-related risks.
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