Zero-dependency Web Crypto suite & Model Context Protocol (MCP) server for AES-256-GCM, RSA-4096, and AI agent security.
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Updated
Aug 21, 2026 - JavaScript
Zero-dependency Web Crypto suite & Model Context Protocol (MCP) server for AES-256-GCM, RSA-4096, and AI agent security.
Whitebox & Blackbox AI red-teaming framework for LLMs & Agentic AI apps. It analyzes your app's source code to discover tools, roles, and guardrails, then generates new attacks chains across several categories and adapts over multiple multi turn rounds to find vulnerabilities
reconnaissance for agent attack surfaces
splyntra
🛡️ Open-source AI security scanner & LLM red-teaming platform. Test LLM APIs, chatbots, agents, MCP servers & RAG for prompt injection, jailbreaks, data leaks & unsafe tool use — with OWASP LLM Top 10 mapping and plain-English, audit-ready reports.
Manual Verification Protection + AI Selector Compatible with OpenClaw . This is a complete TypeScript plugin project—a true implementation of the `before_tool_call` hook that can intercept tool calls, follow OpenClaw’s built-in approval workflow, and features an approval window mechanism.
A free course on AI agent security: prompt injection, tool poisoning, memory attacks, MCP supply chain, CaMeL, information-flow control, sandboxing and red-teaming. 27 chapters, runnable Python, interactive labs, six projects.
Runtime capability governance for AI agents. Kingpin separates what an agent notices or believes from what it is authorized to do, using scoped leases, human review, retry controls, prompt-injection handling, and deterministic audit behavior.
Daedalab is a control layer for AI agents that intercepts tool calls, blocks dangerous actions, enforces spending limits, and keeps a complete audit trail, giving users control over what their agents can do before it happens.
Deterministic guards and web tools for AI agents (MCP + HTTP APIs)
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