Pillar 01 · AI Assurance Stack
Testing, security, compliance & risk, observability and governance — delivered as one platform on a shared Assurance Ontology, so every finding carries lineage from the test that found it to the regulation it satisfies.
Why unified
Testing vendors produce PDF reports. Compliance SaaS produces questionnaires. Neither gives you a cross-agent view, technical audit lineage, or a switching cost that works in your favour.
Because every Mindgraph service writes into the same ontology, your assurance data compounds: findings become benchmarks, benchmarks become policy, policy becomes automated enforcement.
The services
Pre-production integrity
Adversarial defence
Regulatory crosswalk
Continuous signal
Board-level oversight
The assurance loop
Agents are tested and red-teamed before deployment. Findings map to the ontology, not to a spreadsheet.
Pre-production integrity
Regulatory crosswalk runs at deploy time and issues a certificate tied to a specific agent version.
Real-time certification
Drift, cost, adversarial exposure and behaviour are monitored in production against the certified baseline.
Autonomous oversight
Every material change reopens the loop. Evidence accumulates as organisational memory instead of expiring.
Continuous assurance
Delivery model
Next steps
Technical deep-dive on your live agents, an 8–12 week pilot with agreed success metrics, and partnership or investment conversations.