Unidentified AI agents are proliferating inside organizations, often deployed by business units rather than IT, and operate without proper identities, owners, or activity logs. Such shadow agents can be compromised and then move through systems, exfiltrate sensitive data, or escalate privileges at machine speed. Traditional security programs focus on human users and lack controls for autonomous software agents. Effective mitigation requires giving agents formal identities, assigning ownership and accountability, maintaining logs and visibility, and enforcing guardrails and access controls. Proactive detection, identity governance, and practical operational steps can help convert shadow agents into trusted, manageable assets.
Across industries, AI agents are being set up every day. Sometimes by IT, but often by business units moving fast to get results. That means agents are running quietly in the background-without proper IDs, without owners, and without logs of what they're doing. In short: they're invisible. 👉 Register now for Shadow Agents and Silent Threats: Securing AI's New Identity Frontier and learn how to get ahead of this growing challenge.
Shadow agents aren't harmless helpers. Once compromised, they can move through systems, grab sensitive data, or escalate privileges at machine speed. Unlike humans, they don't pause to think-they just execute 24/7. The truth is, most security programs weren't built for this. They manage people, not autonomous software agents. And as adoption grows, these shadow agents multiply-scaling risk just as fast as innovation.
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