Agent Security & Risk

Enterprises can't see their AI agents, and regulators can't wait for detection.

Most enterprises have documented governance frameworks they don't actually use in practice.

Attackers exploit browser agents' inherited access to steal data through hidden instructions.

Logging catches agent breaches too late; enforcement prevents them first.

Most enterprises lack controls built for how agents actually exfiltrate data.

Agents routinely hold excessive access with minimal governance.

Most AI governance exists only on paper, leaving organizations exposed to rapidly expanding risks.

AI agents inherit overprivileged credentials from developers, exposing secrets at machine speed.

Malicious tools in agent ecosystems can exfiltrate data without triggering alerts.

Legacy threat modeling frameworks miss the runtime dangers of autonomous AI agents.

Agents with real permissions face architectural vulnerabilities that chatbots never did.