We are transitioning to a world where AI agents perform actions autonomously, yet current systems lack proper identity and accountability. Inner I Secure aims to address this gap by introducing a zero-trust control plane that ensures verifiable and secure execution of AI actions, promoting trust and coordination in autonomous systems.
Tag: ai governance
Inner I Secure – Features
The content describes the inneri-secure system, a zero-trust architecture using FastAPI, OPA for policy enforcement, and Vault for managing dynamic credentials. It details the authentication, validation, and audit processes, while providing instructions for local setup and running a demo tool through the gateway, with results and signed receipts for auditing.
Beyond Moloch: A Stillness – Coherence Benchmark for Truth-Aligned Artificial Intelligence
Modern AI systems don’t fail because they lack intelligence — they fail because they are rewarded for performance over truth. This article introduces the Stillness–Coherence Benchmark (SCB), a new, non-competitive evaluation framework designed to measure temporal coherence, uncertainty honesty, self-correction, and appropriate silence. By removing engagement incentives and rewarding internal alignment over persuasion, SCB offers a practical, testable way to prevent models from “lying to win” and to realign artificial intelligence with epistemic integrity.