Gain Visibility Into Threats in Your AI Agent Pipeline
You already know how your agent is built. What you need is a clear view of its attack surface and where it can be exploited.
AI Agent Scanner inspects the agent end to end, mapping every LLM, tool, integration, and component involved in execution. From there, it uncovers potential vulnerabilities across the structure, including weaknesses in user input, tool invocations, and indirect prompt injection.
Instead of reviewing fragments, you receive a structured breakdown of risk across the entire agent system.
Visualize Your Agent’s Attack Surface
Understanding vulnerabilities in isolation is not enough. You need to see how they connect. AI Agent Scanner generates an attack surface map that visually represents risk across your agent workflow. You can see how prompts flow, where tools are invoked, and where potential exploitation paths exist. This makes complex agent architectures easier to evaluate and discuss across security and engineering teams.
You move from abstract concern to a concrete, visual representation of exposure.
Act on Risk With a Prioritized Remediation Playbook
Identifying risk is only the first step. AI Agent Scanner provides a remediation playbook with clear, step-by-step guidance prioritized by impact.
This allows your teams to harden agents before they go live, reduce attack surface systematically, and align deployments with your security standards.
Our AI Agent Scanner turns agent security from guesswork into a structured, repeatable process.
