Post by Lars Ahlfors

The Cybernetic Agent Governance Engine (CAGE) is officially live and open-source on the Google GitHub organization. Traditional AI safety models have reached their operational limit. In high-stakes, regulated enterprise environments, you cannot govern autonomous multi-agent loops by relying on prompt engineering, flat-file checklists, or application-layer "Judge LLMs." If an agent experiences an in-flight prompt injection or a compositional state exploit, it will continue to present a valid identity token while executing catastrophic backend mutations. Observation is not control. A post-hoc asynchronous log is just an internal self-assertion—it catches a system failure only after an irreversible transaction has already committed to production iron. CAGE flips the paradigm from passive behavioral tracking to active runtime restriction natively within the compute substrate. By treating the running agent container as a 100% untrusted client subprocess, CAGE enforces an Asymmetric 4-State DEFER Router coupled with deterministic, out-of-process Control Barrier Functions (CBFs) and compiled Open Policy Agent (Rego) AST perimeters at the GKE container edge. Workloads scale at native cloud velocity: high-confidence actions preserve sub-millisecond throughput by streaming attestation receipts out-of-band, while ambiguous trajectories freeze in memory-locked, non-evictable structures for out-of-band validation—capping the blast radius of stochastic drift at zero. The abstract era of "paper governance theater" is over. It is time for compiled infrastructure constraints that bound autonomous failure boundaries before they permanently modify your data tier. The official repository is now open under the Apache-2.0 license. Drop an issue, inspect our runtime containment loops, and review the technical blueprints here: https://lnkd.in/eBG5rAgs