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Scan LLM agentic workflows for security risks and fix issues early.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentic-radar" yet — see the docs or source repo.
Please scan this LLM agentic workflow for security risks, focusing on prompt injection, excessive tool permissions, sensitive data leakage, and unsafe external calls, then provide fixes ranked by severity.
A structured security report listing risks, severity levels, impact scope, and remediation suggestions.
Run a full security scan on our agent application before release, identify high-risk configurations, privilege escalation paths, and exploitable toolchain weaknesses, then generate a launch-readiness checklist.
A pre-release security assessment with an actionable remediation checklist.
Analyze this multi-step agent workflow for potential sensitive data leakage, including logging, context passing, third-party tool I/O, and permission boundaries, and propose ways to minimize exposure.
An analysis focused on data leakage risks, along with protection and mitigation recommendations.
Scan AI agents for tool-calling vulnerabilities and surface key security risks.
Scan AI agents, MCP servers, and skills for security risks.
Run pay-per-call security scans, threat intel, compliance, and code checks for AI agents.
Scan Claude Code configs for vulnerabilities, misconfigurations, and prompt injection risks.
Scan AI skill packages for malicious docs and scripts before execution.
Scan Agent Skills for security risks and manage them visually.