secure-ai

Open framework for confidential AI

Forge is the open-source runtime for Anthropic's Agent Skills standard — built for the agent that runs next to a service, in your environment, on infrastructure you already operate. Write a SKILL.md. Compile to a portable, hardened agent. Deploy it anywhere containers run: Kubernetes, on-prem, air-gapped, embedded in CI, or as an A2A endpoint.

Reading list for adversarial perspective and robustness in deep reinforcement learning.

Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models

A living map of the AI agent security ecosystem.

Secure mcp infrastructure to audit and control every data access by AI agents with minimal efforts

Let AI agents like ChatGPT & Claude use real-world local/remote tools you approve via browser extension + optional MCP server

OS-level sandbox for AI coding agents - kernel-enforced file, command, and network isolation

Secure Computing in the AI age

Amadeus-AI is python framework for autonomous AI agents with planning, execution graphs, and plugins.

This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.

IntentusNet - Deterministic execution infrastructure for agent and distributed systems, enabling reproducible workflows, reliable intent routing, transport abstraction, and transparent operational control.

MLSecOps Practical Reference Guide, open-source AI and ML security handbook.

Secure local-first desktop layer for OpenClaw featuring voice, canvas, and hardened security guardrails.

💻🔒 A local-first full-stack app to analyze medical PDFs with an AI model (Apollo2-2B), ensuring privacy & patient-friendly insights — no external APIs or cloud involved.

A visual, source-grounded guide from agent architecture to secure agentic AI systems.

Behavior-driven cognitive experimentation toolkit with BCE (Behavioral Consciousness Engine) regularization, telemetry, and plug-and-play integrators for language-model training and evaluation.

Secure Python Chatbot with PANW AIRS protection and Claude API

💻🔒 A local-first full-stack app to analyze medical PDFs with an AI model (Apollo2-2B), ensuring privacy & patient-friendly insights — no external APIs or cloud involved.

Control layer for LLM integrations that evaluates model output risks (SQL, command execution, etc.) before execution.