Open framework for confidential AI
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Updated
Jul 15, 2026 - Rust
Open framework for confidential AI
Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models
Reading list for adversarial perspective and robustness in deep reinforcement learning.
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
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.
OS-level sandbox for AI coding agents - kernel-enforced file, command, and network isolation
Secure Computing in the AI age
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.
Amadeus-AI is python framework for autonomous AI agents with planning, execution graphs, and plugins.
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.
Control layer for LLM integrations that evaluates model output risks (SQL, command execution, etc.) before execution.
Secure Python Chatbot with PANW AIRS protection and Claude API
Behavior-driven cognitive experimentation toolkit with BCE (Behavioral Consciousness Engine) regularization, telemetry, and plug-and-play integrators for language-model training and evaluation.
Static analysis CLI that scans codebases for LLM prompt-injection, data-exfiltration, jailbreak, and unsafe agent/tool vulnerabilities. Runs fully offline, integrates with CI/CD, and outputs console, JSON, and SARIF reports.
Bootable local-first AI OS with sealed runtime, model quarantine pipeline, airlock egress controls, encrypted vault, and private Tor-routed search.
💻🔒 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.
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