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Control the power of AI Agents at Runtime

Runtime security for AI agents — continuous agent discovery, deep observability, and real-time enforcement of security controls.

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Reduce AI Agent Risk & Enforce Security Controls

Capsule reduces AI agent risk by enforcing runtime controls aligned with OWASP, MITRE, and NIST AI frameworks. Instead of static guidelines or post-incident reviews, Capsule converts these frameworks into live, enforceable runtime controls preventing unsafe agent actions before they occur.

Accelerate Secure AI Adoption

Capsule removes security bottlenecks from AI adoption by embedding protection directly into runtime execution. Teams can deploy agentic workflows faster without slowing engineering velocity or introducing manual approvals.

Deep Observability Into Agent Behavior

Capsule provides deep, real-time observability into agent behavior, actions, and decision paths. Security and platform teams gain continuous visibility into how agents operate in production — enabling faster investigation, safer scaling, and stronger governance.

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See Every Agent. Secure Every Action

Frictionless Discovery

Capsule connects in minutes using agentless integration to automatically discover AI agents across home-grown systems, SaaS agent platforms, and endpoint environments delivering immediate visibility without disrupting workflows or requiring ongoing maintenance.

Dashboard interface showing deployment logs with timestamps, project names, directions, detected threats, content previews, and applied policies.

Agent Security Graph

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.

Dashboard interface showing a table with columns for Timestamp, Project, Direction, Threats detected, Content, and Policy, with various security threat labels and statuses.

Deep Observability

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.

Screenshot of a dashboard showing a table with columns for Timestamp, Project, Direction, Threats detected, Content, and Policy, listing multiple entries with various threat detections like Moderated content, PII, Prompt attack, and Unknown links.

Runtime Protection

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.

Dashboard table showing timestamps, projects, input/output directions, detected threats like moderated content and unknown links, content snippets, and policy types.

Agent Identity Control

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.

Dashboard showing a table of timestamps, projects, directions, detected threats, content snippets, and policy names with a navigation sidebar on the left.

Whitebox Red Teaming

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.

Dashboard interface showing a table of deployment logs with columns for timestamp, project, direction, detected threats, content snippets, and policy names.
Dashboard interface showing deployment logs with timestamps, project names, directions, detected threats, content previews, and applied policies.
Agent Security Graph
Frictionless Discovery

Capsule connects in minutes using agentless integration to automatically discover AI agents across home-grown systems, SaaS agent platforms, and endpoint environments delivering immediate visibility without disrupting workflows or requiring ongoing maintenance.

Dashboard interface showing a table with columns for Timestamp, Project, Direction, Threats detected, Content, and Policy, with various security threat labels and statuses.
Agent Security Graph
Agent Security Graph

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.

Screenshot of a dashboard showing a table with columns for Timestamp, Project, Direction, Threats detected, Content, and Policy, listing multiple entries with various threat detections like Moderated content, PII, Prompt attack, and Unknown links.
Agent Security Graph
Deep Observability

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.

Dashboard table showing timestamps, projects, input/output directions, detected threats like moderated content and unknown links, content snippets, and policy types.
Agent Security Graph
Runtime Protection

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.

Dashboard showing a table of timestamps, projects, directions, detected threats, content snippets, and policy names with a navigation sidebar on the left.
Agent Security Graph
Agent Identity Control

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.

Dashboard interface showing a table of deployment logs with columns for timestamp, project, direction, detected threats, content snippets, and policy names.
Agent Security Graph
Whitebox Red Teaming

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.

How the Agentic Reactor™ Works

Capsule Integrations

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