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Audit codebases locally with LLMs to uncover security flaws privately.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SecureOps AI" yet — see the docs or source repo.
Please run a security audit on this local code repository. Focus on common issues including injection, broken access control, secret exposure, insecure dependencies, and risky configurations. Return findings with severity levels and remediation advice.
A severity-ranked vulnerability report with risk explanations, affected files, and fix recommendations.
Please review the project's login flow, session handling, authorization checks, and admin endpoints. Identify possible auth bypasses, privilege escalation risks, and missing validations, then provide actionable fixes.
A security analysis of authentication and authorization code, highlighting risky paths, root causes, and recommended changes.
Please inspect the project's dependencies, environment variable handling, and container or deployment configuration. Identify vulnerable third-party packages, hardcoded secrets, excessive permissions, and insecure defaults.
A dependency and configuration security checklist with specific risks, safer versions, and hardening steps.
Scan code and text for leaked secrets and exposed API credentials.
Review code for security, quality, and performance issues with actionable suggestions.
Run comprehensive code and config security scans for AI coding assistants.
Detect prompt injection, look up CVEs, and assess version impact.
Review repositories in natural language for security, performance, and code quality issues
Provide controlled repository access for AI coding agents with redaction and audit logs.