Every AI system, accounted for
Registered systems sit beside the ones found on your platforms, in traffic and inside vendor products, so shadow AI shows. Each carries an owner from design to retirement.
One platform for AI systems, agents, risks and controls, with evidence ready for regulators.
Start where your AI programme is today: see what you run, prove it is controlled, then scale and keep pace.
Connect platforms read-only, register what teams declare and give every AI system an owner.
Tier the risk against your CPS 220 risk appetite, map controls to CPS 230, CPS 234 and FAR, and collect the evidence.
Bring agents into production with defined rights and every decision on record.
Map new obligations, reassess systems when they change and keep the evidence current.
CognaOne sits between your AI systems and the platforms they reach, giving every team one consistent framework of governance, risk, controls and assurance.
Agents, copilots, models, MCP servers and vendor AI, declared and discovered.
Governance, risk, controls and assurance on one record, between your AI and everything it reaches.
AWS, Azure, Databricks, Snowflake and the rest, connected read-only through connectors and the CognaOne API.
Technology, risk and audit teams work from one record, from the first sighting of an AI system to the action it takes.
Ready for APRA's AI expectations (April 2026) and the Privacy Act's automated decision rules, from 10 December 2026.
Registered systems sit beside the ones found on your platforms, in traffic and inside vendor products, so shadow AI shows. Each carries an owner from design to retirement.
Six dimensions, a written rule for the tier and an accountable executive on every system, all set against the risk appetite your Board approved under CPS 220. The tier sets which controls apply and how often it is reviewed.
A control mapped once to CPS 230, CPS 234 or FAR (the Financial Accountability Regime) shows on every AI system it governs. 81 controls come ready, so the second line starts from a library, not a blank page.
Point-in-time testing misses models that drift. Each control climbs from declared to effective only as live evidence supports it.
CognaOne checks state, controls and approvals before an agent acts, then allows it, routes it to the named person or blocks it. Every decision replays.
Each agent's identities, tools and MCP (Model Context Protocol) permissions sit on the same record as risk and controls. This is where access control catches up with non-human actors.
Tell us where your AI programme is today. We scope the first engagement to your own AI estate, and every enquiry is handled in confidence.
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