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Map your AI agent environment—where are your agents, what can they connect to, and what can they do. Then simulate real attack scenarios to evaluate your coverage, expose security gaps, and understand how different controls reduce risk and blast radius.

Assess your agent security architecture

Do you want to update your architecture?

<p>Select the signals your organization uses to discover AI agents across platforms, browsers, endpoints, and networks. These capabilities help you identify both known and unknown agents operating in your environment.</p> <h3>Agentic platform integrations</h3><p>Register agents from major platforms and custom-built agents directly into your identity provider, creating a centralized inventory of known agents.</p> <h3>Browser-based detection</h3><p>Discover shadow agents operating through browsers and extensions that may not be registered or managed centrally.</p> <h3>Endpoint detection</h3><p>Identify agents running on managed devices and developer environments, including local tools and embedded agents.</p> <h3>Network detection</h3><p>Detect agent-to-agent and agent-to-resource traffic at the network layer to uncover hidden interactions and unauthorized communication paths.</p> <h3>Gateway detection</h3><p>Identify agents interacting with APIs, MCP servers, and gateways to understand how agents connect to systems and services.</p> <h3>AI agent risk assessment</h3><p>Continuously analyze agent identities and configurations to identify misconfigurations, excessive permissions, and potential vulnerabilities.</p>

Select how your agents are discovered

<p>Select the systems, services, and resources your agents can access. These connections define the potential blast radius of an agent if it is misused or compromised.</p><h3>MCP servers and resources</h3><p>Allow agents to interact with external tools, APIs, and data sources through MCP servers, expanding their ability to take action.</p><h3>SaaS applications</h3><p>Enable agents to access business-critical SaaS applications such as CRM, finance, and collaboration tools.</p><h3>Agent-to-agent connections</h3><p>Allow agents to interact with and trigger actions in other agents, increasing automation but also introducing chaining risk.</p><h3>Service accounts</h3><p>Provide agents with persistent, non-human credentials to access systems and services programmatically.</p><h3>Vaulted credentials</h3><p>Store and retrieve sensitive credentials for agents, enabling access to systems without exposing secrets directly.</p><h3>None of these</h3><p>Agents have limited or no direct access to external systems or resources beyond their immediate environment.</p>

Select what agents can access

<p>Select the controls your organization uses to govern, monitor, and enforce what agents are allowed to do. These capabilities determine whether agent actions are allowed, restricted, or blocked.</p><h3>Kill switch</h3><p>Instantly revoke an agent’s access or disable it entirely to stop activity after a threat is detected.</p><h3>Runtime enforcement</h3><p>Evaluate and enforce policies in real time before an agent action is executed, ensuring only authorized actions are allowed.</p><h3>Agent lifecycle management</h3><p>Manage how agents are created, updated, and retired, including controlling access and permissions over time.</p><h3>Human-in-the-loop approvals</h3><p>Require human authorization for sensitive or high-risk actions before they are executed.</p><h3>Audit logs and telemetry</h3><p>Record agent activity, decisions, and access patterns to support monitoring, investigation, and compliance.</p><h3>None of these</h3><p>No controls are in place to govern or restrict agent behavior, allowing actions to execute without oversight or enforcement.</p>

Assess your agent security architecture

Select how your agents are discovered

Select what agents can access

Select how agent actions are controlled