
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.
A global enterprise rolled out AI Agents across engineering, customer support, and internal operations, but quickly realized traditional AI security controls stopped at prompts and models. Capsule gave them full visibility and runtime protection across every agent, tool, and data connection. Without requiring code changes or disrupting teams.
faster identification of risky agent behavior
less over-privileged agent access
increase in AI agent adoption confidence
“AI Agents introduced a level of autonomy we simply couldn’t manage with traditional security tooling. Capsule gave us a clear picture of what our agents were doing in real time and the confidence that if something went wrong, it would be caught immediately. The integration was seamless, and the insights were something we couldn’t get anywhere else.”
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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