github.devotd.

AI Security

AI security and safety products, including agent, skill, MCP, and model defenses. Safety-measuring benchmarks and harnesses go to ai-safety-evaluation; attack-generation tooling to ai-red-teaming; other skill-package security to skill-security-and-updates; other MCP-specific defense to mcp-security; other enforcement to runtime-and-endpoint-security. Excludes general capability evaluation and compatibility-focused reverse engineering.

Subfields

Projects in this field (8)
ProjectWhat it doesStarsLanguageLicenseLatest release
nvidia/nemoclawRuns coding agents such as Hermes more safely with OpenShell sandboxing and managed inference.★ 22.8KTypeScriptApache-2.0—
jiwoochris/artex-globalARTEX is an AI framework that autonomously conducts penetration testing for authorized security testing.★ 1.6KGoAGPL-3.0v0.3.15-global.1
archestra-ai/openappaProvides deterministic guardrails to safely control agent execution.★ 1.6KRustMITv0.35.1
perplexityai/spaceA sandbox platform that runs agent and user code in isolation through pluggable runtimes.★ 1.5KRustApache-2.0—
pipelab-org/pipelockAn agent firewall that scans HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection.★ 937GoApache-2.0v3.7.0
ashishsinha1602/schemagateRestricts SQL agents to authorized tables using row-level-security-aware pruning, blocking access to disallowed data.★ 104PythonApache-2.0v1.6.0
submilli/submilli-runtimeAn isolated WebAssembly runtime that executes agent-generated TypeScript and enforces semantic permissions on outbound calls.★ 28RustApache-2.0v0.4.1
invarislabs/invaris-agentsecAdversarially tests agents for prompt injection, tool misuse, memory poisoning, and MCP risks in CI.★ 17PythonApache-2.0v0.9.0