MRCortex AI Trust Infrastructure
This page is for CISOs, security engineers, enterprise architects and technical evaluators. It explains how MRCortex is engineered for governed, evidenced AI activity — and states plainly what is implemented and tested today and what is still being completed for Customer-Ready V1.
SARVA is the deterministic governance layer. Supported governed requests are evaluated through SARVA’s five-gate governance pipeline against explicit controls, authority context and organizational policy, and resolved to allow, escalate or block, with the decision recorded.
Monitoring observes activity after the fact. Governance evaluates a supported request against policy before it proceeds on the supported path. Traditional monitoring alone does not answer what an AI was allowed to do.
Ethics · Capability · Sandbox · Guard · Irreversibility / Authority Boundary
MRCortex is designed fail-closed: where a supported request cannot be confirmed as permitted by policy and authority context, the intended outcome is that it does not proceed on the supported path, and the decision is recorded.
This describes design intent for the governance architecture. The enforced consequential-execution architecture required for Customer-Ready V1 is designed and technically frozen and is being completed; MRCortex does not claim that every consequential action is currently intercepted in production.
Governed decisions and relevant events are recorded in a hash-linked (SHA-256) trail. Modifications are detectable.
Each governed decision is linked to the policy version in force at the time.
Records are exportable and verifiable by authorized reviewers; recorded decisions, events and changes can be reconstructed for review.
Evidence is not permission. COSMOS does not grant execution authority, and integrity evidence does not by itself establish the real-world outcome of an external action.
Escalated decisions require human approval with recorded justification. Escalation is a first-class outcome of the pipeline, not an exception path.
The architecture and implementation are subjected to internal adversarial engineering review, including read-only independent-model review used during development, to surface weaknesses before a release candidate is frozen.
MRCortex does not currently claim an independent security audit, third-party audit, external assessment or certification.
9,208
registered automated engineering checks
0
failures at M5-R1 closure evidence d5284fe
86
environment-skipped checks reported separately and not counted as passed
Registered automated engineering checks verified against the M5-R1 closure evidence state — not a certification, external validation or independent assurance claim, and not proof of universal security.
Customer-Ready V1 in development
MRCortex is designed with enterprise assurance requirements in mind and is preparing for external assurance. Until such an assessment is complete, MRCortex makes no claim of a completed external assessment.
Mapped or being mapped to relevant frameworks. This is alignment, not certification: MRCortex does not currently claim SOC 2 certification, ISO certification or regulatory approval.
Unknown ≠ malicious. Known ≠ trusted. Discovery ≠ permission. Registration ≠ authority.
This site describes MRCortex at a conceptual level; detailed implementation mechanics are intentionally not published. Technical architecture, governance model and engineering evidence for MRCortex AI Trust Infrastructure are available on request.
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