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A rust framework for LLM agents, machine action , and ledger backed execution across tools , workflows and evolving autonomous systems.

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

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.

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.

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.

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.

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.

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.

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.

AI Agent CLI Security Sandbox for Docker and Podman

DYSC CLI agent for automated security reviews and robust AI fix guidance

Local LLM integrator for OpenClaw — localhost UI, model proxying, and defense-in-depth security.

vigolium-audit — autonomous agent that performs thorough security audits on your codebase, part of Vigolium

Security-first AI agent daemon — the model proposes actions, the runtime decides what execute

A 7-layer scaffold for production AI agent system prompts. Security-first, multi-tenant by design.

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.

NeuroAgentTest (NAT) — AI-powered API testing with multi-agent neural networks, OWASP security scanning, and adaptive test allocation

🔍 Automate penetration testing with an intelligent agent that organizes security assessments, leveraging local LLMs and Kali Linux for effective exploitation.

Secure local AI agent runtime — vault-backed secrets, sandboxed execution, cryptographic audit chain, procedural skill system

A security-first agent platform — Models Propose, Records Decide. 17 deterministic constraints gate every LLM proposal before it becomes state.