Use Cases

Trace complete execution paths and understand exactly which tools your agent calls, in what order, and why. Identify and fix problematic sequences during development.

Use /agent-fix to get context-aware remediation suggestions. Agent Inspector understands your code and suggests targeted fixes for each security finding.

Run behavioral regression testing every time you modify prompts. Ensure your changes improve performance without introducing unpredictable side effects.

Identify inefficient patterns in tool calls and prompts. Detect token spikes and optimize your agent's resource consumption before scaling to production.

Use /agent-scan to analyze agent code for security vulnerabilities mapped to industry standards. Get findings with severity ratings and remediation guidance.

Prioritize VALIDATED findings over THEORETICAL ones. Correlation helps you focus on real risks that are both detectable in code AND confirmed in runtime behavior.

Set minimum security thresholds that agents must meet before deployment. Block releases that have unresolved CRITICAL findings or fail behavioral stability checks.

Automatically scan for personal identifiable information in prompts, tool calls, and responses using Microsoft Presidio. Catch privacy violations before they reach production.

Export Security Assessment reports with OWASP LLM Top 10 coverage, SOC2 control mapping, and remediation timelines. Provide auditors with the evidence they need.

High-level risk posture across all AI agents. See aggregate security scores, remediation progress, and production readiness at a glance.

Generate Customer DD reports that demonstrate your AI security practices. Answer security questionnaires with concrete evidence and metrics.

Monitor fix progress with the recommendation lifecycle. See which findings are PENDING, FIXING, FIXED, or VERIFIED across all agents.