Capsule Runtime Security for AI Agents

Capsule Security Runtime Security for AI Agents is a runtime security platform designed to monitor, govern, and enforce security controls over AI agents operating in production environments. The platform addresses risks introduced by autonomous AI agents by providing continuous visibility into agent behavior and enforcing policies in real time before actions are executed. It aligns its controls with established frameworks including OWASP, MITRE, and NIST AI guidelines. Core capabilities include: - Frictionless Discovery: Agentless integration that automatically discovers AI agents across home-grown systems, SaaS agent platforms, and endpoint environments without requiring ongoing maintenance. - Agent Security Graph: A visual mapping of how agents interact with tools, data, and other agents at runtime, surfacing risky paths, control gaps, and emerging threats. - Deep Observability: Real-time visibility into agent actions, decisions, and execution paths to support investigation, governance, and scaling decisions. - Runtime Protection: Detection and blocking of unsafe, unintended, or policy-violating agent behavior before actions are carried out. - Agent Identity Control: Tracks agent ownership, access permissions, and entitlements to enforce least privilege and accountability across agent environments. - Whitebox Red Teaming: Proactive testing of agent logic, prompts, and behaviors using white-box techniques to identify weaknesses and feed findings back into runtime defenses. The platform targets security and platform engineering teams deploying agentic AI workflows and is designed to integrate without disrupting development velocity.