No AI Agent Can Hide

Raven Runtime AI Agents provides real-time visibility and control over AI agents operating inside production applications. It discovers both approved and shadow AI agents, monitors their real behavior at runtime, and enforces security policies before unsafe actions cause damage.

Guardrails and prompt monitoring operate at the model or request layer. Raven operates inside the application runtime, observing what agents actually do, which data they access, which APIs they call, and which code paths they execute. This allows Raven to detect and stop abuse that external controls cannot see.

No. Raven does not inject code, modify prompts, or require language-specific SDKs. It passively observes runtime execution using low-overhead instrumentation designed for production environments.

Raven supports AI agents across modern polyglot environments, including Java, Node.js, Python, Go, and more. It works with embedded agents, framework-based agents, and tool-driven workflows, without requiring agent-specific integration.

Yes.
Raven can alert on or block unsafe agent behavior in real time, such as unauthorized data access, unexpected tool execution, or risky code paths, before damage occurs.

Raven is built for high-throughput production workloads. It uses efficient runtime instrumentation and does not replay requests, intercept prompts, or stream large volumes of data externally. Customers run Raven continuously with minimal performance overhead.

Raven traces agent actions back to the owning service, deployment, and code change. Security teams see what happened, and developers see exactly where the behavior originated and how to fix it, turning incidents into actionable feedback.

No. Raven does not exfiltrate application data, prompts, or payloads for external analysis. Detection and enforcement happen at runtime, inside the environment, preserving data privacy and scalability.