Search

Multi-agent AI penetration testing workbench. Evidence-enforced anti-hallucination, agent-agnostic (Claude/Codex/OpenCode/Cline/Trae), continuously growing memory.

Security scanner for AI agent skills. Scan before you install.

Security scanner for third-party AI agent-skill files: SKILL.md manifests, hooks, and bundled scripts.

Security-first, lights-out software factory: turns a spec into a hardened SaaS on Secure Vibe Coding OS, drives it through security CI, AI review, and periodic assessment, and maintains it in dark or gray mode.

Install Sentinel AI agent security scanner into GitHub Copilot, Claude Code, Cursor, Windsurf, Codex, Cline, Aider, Gemini CLI, Crush, Roo Code, Amazon Q Developer, Amp, and Continue.dev projects

90-tool MCP server for software supply chain security — OSV, GHSA, NVD, EPSS, CISA KEV, npm, PyPI, crates.io, RubyGems, NuGet, Packagist, Go, deps.dev, Scorecard, Rekor, ClearlyDefined, Repology, typosquatting detection

Autonomous AI security agent that audits, pentests, and hardens your whole codebase: SAST, secrets, SCA, IaC, containers, CI/CD, OWASP, and AI/LLM red-teaming. Auto-fixes vulnerabilities and maps findings to compliance frameworks like SOC 2. Works with Claude Code, Cursor, Codex, and opencode.

weir - deterministic, post-hoc verification engine for AI-agent sessions

Free open-source AI-powered security terminal & vulnerability scanner (CVE, SBOM). Supports SSH, SFTP, RDP, VNC, Serial, and 12+ autonomous AI agents (DeepSeek, OpenAI) for automated security workflows, CTF & DevSecOps. Cross-platform & Web UI.

Measure how DSPy prompt optimization affects the prompt-injection robustness of agentic LLM programs, using AgentDojo's attack suite.

Reusable LLM security scanning library — language-agnostic guardrails for AI agents

Adversarial security testing for AI agents — prompt injection, tool misuse, memory poisoning, and MCP scanning, with CI-ready regression testing and reports.

AI agent skill security scanner. Detects locally installed agent skills, computes SHA-256 checksums, and queries the Mondoo AI Agent Security database for known threats.

面向 AI 智能体生态的安全扫描器，支持检测 Skills、MCP 服务、智能体配置及工具集成中的安全威胁。/ Privacy-first security scanner for AI agent artifacts, including Skills, MCP servers, agent configurations, and tool integrations.

Autonomous offensive-security agent: recon, authorized pentest, vuln hunting, DFIR & multi-framework compliance from a single prompt. Local-first (llama.cpp), skill-based, deterministic-first.

Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.

Autonomous AI red team simulation agent for web application penetration testing. 7 specialized agents, containerized Kali tools, streaming case pipeline, 57 security references. Powered by OpenCode.

Static security scanner for AI agents. Catches prompt injection, runaway loops, missing oversight, and compliance gaps across 21 frameworks. Use from Claude Code, Cursor, ChatGPT (MCP), the CLI, or GitHub Actions.

AI red-teaming for the AI agents & LLM apps you own: stress-test them with adversarial models to find security failures (prompt injection, tool misuse / excessive agency, data leakage, jailbreaks, denial-of-wallet), auto-patch (blue team), retest, and get

Autonomous AI bug bounty hunter — agentic ReAct loop, dual-brain offensive security LLM via OpenAI-compatible API, 60+ tools, 7-layer FP elimination, HUNTER mode, proof-of-exploit. Works with LM Studio / llama.cpp / Ollama / vLLM.