Sandbox any AI agent in seconds - zero setup, zero latency.
Open-source AI agent firewall for MCP security and agent egress. Scans mediated HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection, and emits mediator-signed action receipts: verifiable audit evidence from outside the agent.
Local safety layer for AI agents that use the terminal. Screens risky commands and MCP/tool calls, watches Linux activity with eBPF, blocks dangerous behavior, and keeps audit trails local. Open source, self-hosted, dry-run by default.
Offline security scanner for AI-agent repos, skills, plugins, and MCP servers.
Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate agents that can do everything a human can do.
Hands-off supply-chain watchdog for dev machines: orchestrates multiple security scanners (Perplexity bumblebee + osv-scanner, govulncheck, NVIDIA SkillSpector) into one daily verdict — via Claude/Slack, desktop notification, or plain CLI.
Free OpenClaw security scanner. 3,000+ agents audited. 3-Layer Audit Protocol. OWASP ASI 10/10 coverage. AI agent integrity layer.
A curated timeline of real AI agent security incidents, breaches, and vulnerabilities (2024-2026). Every entry sourced and dated.
AI got hands. This is the leash. Policy, audit, kill switch for any AI agent with access to your accounts.
25 production-tested defensive security skills for Claude Code - WordPress, VPS, Cloudflare, Next.js hardening, AI agent guardrails, MCP security, prompt injection defense, OWASP LLM Top 10, LLM coding failure modes (slopsquatting, hallucinated APIs, sycophancy), incident response, GDPR/DACH compliance. MIT, battle-tested.
Open security architecture for autonomous AI agents - extending Zero Trust principles
LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One line, zero code changes.
Security scanner for AI agent plugins, skills, MCPs, and configurations. Detects prompt injection, malware, credential theft, and obfuscated payloads.
Activation-probe security scanner for AI agent tooling. Reads a model's internal activations to detect poisoned MCP servers, skills, and packages before install.
Core Rust library for Lens sandbox policy enforcement, networking, DNS, proxying, and boundary credential exchange.
Static scanner for MCP-connected AI agent pipelines — 221 rules across 11 categories, 12 compliance frameworks, OWASP Agentic 10/10 + MCP 10/10, GitHub Action, SARIF, public CVE-to-rule ledger.
Static security scanner for MCP servers, agent skills & plugins (68 patterns). In the official MCP Registry: io.github.eltociear/skill-audit-mcp. Also a pay-per-call x402 API.
Official SupraWall MCP (Model Context Protocol) Security Plugin. Enforces deterministic guardrails, least-privilege tool access, and PII interception for AI agents.
OpenClaw scanner to fingerprint exposed OpenClaw gateways on port 18789 and support evidence-first vulnerability triage.
Sunglasses for AI agents. Protection layer + neighborhood watch.
Add a description, image, and links to the ai-agent-security topic page so that developers can more easily learn about it.
To associate your repository with the ai-agent-security topic, visit your repo's landing page and select "manage topics."