Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts.
Open-source antivirus for AI agents: block risky tools, secret access, prompt injection, malicious packages, MCP servers, plugins, and skills at runtime.
TraceTree - Runtime behavioral analysis tool that maps the process cascade of suspicious packages into a directed tree, catching supply chain attacks that install-time scanners miss.
PyRASP is a Runtime Application Self Protection package for Python-based Web Servers (Flask, FastAPI and Django), Serverless Functions (AWS Lambda, Azure and Google Cloud Functions) and MCP Servers (FastMCP)
Runtime visibility for Python MCP servers. Captures tool calls, session lifecycle, module imports (SHA-256), and subprocess execution as structured NDJSON. No code changes.
Runtime security for AI apps and agents: prompt injection detection, tool-call authorization, sensitive-data redaction, bot protection, and rate limiting. Drop it into your Python code.
Open-source runtime security rules engine for MCP servers and AI agents. Detects prompt injection, command injection, jailbreaks, and data exfiltration.
A closed-loop security runtime preventing "The Great Exfiltration" and Indirect Prompt Injection in Autonomous AI Agents.
Declarative firewall for OpenClaw tool calls.
Omega Walls — a deterministic runtime trust boundary for RAG and AI agents that models cumulative prompt-injection, secret-exfiltration, and tool-abuse pressure before untrusted content reaches context or tools.
Activation-probe security scanner for AI agent tooling. Reads a model's internal activations to detect poisoned MCP servers, skills, and packages before install.
Runtime Gateway for AI Agents. 17-phase security pipeline between agents and LLM APIs. Works with OpenClaw, Paperclip, Claude Code, Cursor. Open source, MIT license.
Runtime trust layer for MCP tools. Detects post-approval drift including behavioral effective-permission drift (denied→allowed) that manifest diffing misses and quarantines before execution, and emits tamper-evident Security Receipts.
Runtime security & governance control plane for AI agents. Enforces per-tool authorization, OPA policy, behavioral risk scoring, blast-radius analysis, autonomy contracts, and tenant kill-switch. Every decision is ed25519-signed and Merkle-anchored for tamper-evident audit. 12 microservices, sub-30ms p95, OWASP LLM Top-10 coverage.
Agents change faster than audits. Ancilis discovers what agents can do, classifies the data they touch, activates the right controls, and continuously proves compliance. Trust your agents in production.
A runtime authorization layer for LLM tool calls policy, approval, audit logs.
The open standard for AI agent integrity. Evaluate, enforce, and prove that autonomous agents are adversarially coherent, environmentally portable, and verifiably assured.
Secure chatbot with Palo Alto Networks AI Runtime Security and native OpenAI API
Library of 28 custom topic guardrails for Prisma AIRS Runtime Security with deploy scripts and industry profile templates
Trust and compliance engine for AI agents — OSS CLI, SDK, and audit tools.
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