Fabric 01
Control Fabric
Runtime enforcement: constraints, gating, and human-in-the-loop approvals where risk demands it.
Governance that runs in production. Colloxa is the control-and-evidence layer between regulated enterprises and the AI they depend on: real-time policy enforcement, decision lineage, and regulator-ready proof.
The governance gap is not a missing framework. It is missing enforcement: controls that gate high-risk decisions, generate decision lineage, and produce evidence automatically.
Colloxa exists where auditability is the standard: financial services, legal, healthcare, and other compliance-intensive operations.
A modular control-and-evidence layer designed to execute policy at runtime and prove it after the fact.
Fabric 01
Runtime enforcement: constraints, gating, and human-in-the-loop approvals where risk demands it.
Fabric 02
Decision lineage and audit trails: what happened, when, under which policy parameters, and who approved it.
Fabric 03
Controls for tool-using and agentic systems: permissions, scope limits, and observable behaviour under policy.
Fabric 04
Operational governance: monitoring, controls testing, incident-ready reconstruction, and proof on demand.
Colloxa is designed for overlapping obligations across markets. Frameworks evolve; the requirement to enforce and evidence does not.
POPIA · GDPR · EU AI Act · ISO 42001 · NIST AI RMF · Nigeria NDPR · Kenya Data Protection Act (2019) · Zimbabwe Cyber and Data Protection Act · Rwanda Law No. 058/2021 (Data Protection & Privacy)
Colloxa is in pilot with enterprise teams that need an enforceable governance posture. If you are evaluating runtime governance and evidence, request an invitation.