zero-trust-ai

Governed API and agent runtime for desktop, VS Code, and CLI. Secure API testing, mocking, automation, secret protection, and controlled AI tool access.

Security working agreements for AI coding agents: hardened AGENTS.md, prompt/tool-injection guardrails, dependency hygiene, Scorecard-ready OSS setup

governance architecture for trustless execution

Draco-Tech is the identity and authorization layer that lets autonomous agents operate with zero static credentials and full policy adherence.

The governance-native Agent OS. Cryptographically sealed 10-Law security, tri-model cognitive orchestration, and secure full-stack computer use with immutable CAC accountability.

Open-source AI Zero Trust platform for observing, analyzing and enforcing security across AI trust boundaries. Built in Go, starting with Trust Guard for input, output and resource-abuse detection.

Sovereign Framework for Constitutional AI Governance — Five-layer architecture (L0-L4), three-cloud runtime, physics-certified contraction, multi-model consensus gate

AegisMCP Enterprise is a dual-layer security gateway and cost firewall designed to sit between AI models (like Claude and Cursor) and execution engines.

AI-native Zero-Trust security layer. Parallel tensor watermarking and RPKI-based identity attestation. 300µs quarantine for malicious pulses.

MCP-native SSH bridge for AI agents with host-scoped access, rule-based command validation, ephemeral SSH sessions, and audit logging

Graph Neural Networks for Multi-Entity Access Modeling in Zero Trust Architectures

Open Source Real Time Local-First Gateway for Autonomous Agents | Checks Permissions on Every Action

The model proposes; the harness disposes. 18+ runnable engineering patterns, framework adapters, and deterministic gates for governed, production AI agents.