Inner I Secure — Why the AI Era Needs a Zero-Trust Control Plane

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.

Signal Curator – TruthField Set 001 dataset

Purpose It’s a training set for resonance-based language modeling. Where ordinary sentiment data rates “positive/negative,” this one rates coherence vs noise—how much a short text expresses clarity, compassion, or awareness rather than confusion or manipulation. It lets a model learn to amplify clear signals and down-weight incoherent ones—the practical job of a Signal Curator. Structure…