
Capsule Security continuously monitors AI Agent behavior and intervenes during runtime at the first sign of anomalous or unsafe activity.


AWS Bedrock
Azure Foundry
GCP Vertex

Claude Code
Cursor
Github Copilot

ChatGPT Enterprise
Microsoft Copilot Studio
Salesforce Agentforce



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AI Agent access controls and permissions carry inherent risk. Capsule monitors agents continuously as they reason, call tools, and execute actions, detecting issues in real time.
While audit trails surface incidents after the fact, Capsule prevents them. It blocks risky commands, unsafe tool usage, sensitive data exposure, and unexpected action chains without disrupting the agent.
Capsule operates as an independent security layer that’s always relevant and works with any framework, tool, or environment. Never rewrite agents, redesign workflows, or give up autonomy.
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Coding agents (Cursor, Copilot, CodeWhisperer–style tools)
Local agent frameworks and MCP-connected tools
Agents with access to files, repos, terminals, or credentials

Microsoft Copilot Studio agents
Salesforce Agentforce
ServiceNow, Atlassian, and other SaaS-native agents (like ChatGPT)
Azure AI Foundry
AWS Bedrock

Capsule acts as the enterprise’s intelligent, always-on guardian agent, continuously discovering, observing, and securing AI agents across the organization while proactively detecting threats, vulnerabilities, and suspicious behavior in real time.

The Capsule Agent Security Graph maps how agents think, act, and interact at runtime by analyzing relationships between agents, tools, data, and actions—revealing risky paths, control gaps, and emerging threats in a clear, intuitive view.

Gain deep, real-time visibility into agent behavior, including actions, decisions, and execution paths—providing continuous insight into how agents operate in production and enabling faster investigation, governance, and safe scaling.

Enforce security and governance policies in real time, before actions are executed. Capsule detects and blocks unsafe, unintended, or risky agent behavior in real time, preventing incidents without slowing agents or engineering teams.

Continuously understand who the agent is, who owns it, who can access it, and what it’s allowed to do, maintaining clear ownership, least privilege, and accountability across all agent environments.

Generate white-box AI agent red teaming to proactively uncover weaknesses in agent logic, prompts, and behaviors—feeding real attack insights directly into runtime protection for stronger, continuously improving defenses.









