Guard Your AI Agents in Production.

AI agent runtime protection is the security discipline that responsible agentic AI deployment requires. As organizations deploy AI agents with real tool access - systems that can send emails, modify files, call APIs, execute code, and interact with production systems - the consequences of a security failure grow dramatically. An agent that is exploited via prompt injection and then uses its legitimate tool permissions to take harmful actions is a security incident with real operational impact.

Why Agents Are High-Value Targets

AI agents with tool access represent a new class of insider threat vector. Unlike a compromised user account, a compromised agent can be manipulated to take harmful actions without any credential theft or privilege escalation - it already has the permissions it needs. An adversary who can influence an agent’s behavior through prompt injection, adversarial data, or system prompt manipulation gains access to everything the agent can do.

This threat is not theoretical. Indirect prompt injection - where adversarial instructions are embedded in data that agents read, such as documents, emails, or web pages - is a documented attack technique with real production exploits. An agent that reads external content as part of its workflow is always one adversarial document away from exploitation, unless runtime protections are in place.

Least Privilege for AI Agents

The first line of AI agent security is permission boundaries. Most agents are deployed with broader tool access than they actually need - permissions granted for convenience, for future features that were never built, or because permission review was never part of the deployment process.

Least-privilege permission design asks a fundamental question for each agent: what is the minimum set of tools and access levels this agent requires to perform its defined function? Reducing permission scope reduces the blast radius of any successful exploitation. An agent that can only read from one database and send to one API cannot be used to access your entire data estate, even if it is fully compromised.

Continuous Behavioral Monitoring

Guardrails and permission boundaries are static controls. Behavioral monitoring provides the dynamic detection layer - tracking every agent action against established behavioral baselines and alerting on deviations that may indicate exploitation or malfunction.

Combined with kill switch mechanisms that can halt agent operation automatically on threshold breach or manually on operator decision, runtime protection creates a layered defense that limits the impact of any agent security incident.