AI Discovery & Inventory
Identify AI systems, models, agents, dependencies and shadow AI.
QVATRICS ONE™
Ten product capabilities. Nine are in the commercial catalogue today; Capability 10, Adversarial Assurance™, is a bounded technical lab.
Identify AI systems, models, agents, dependencies and shadow AI.
Assess misconfiguration, exposure, vulnerabilities and attack paths.
Establish who or what an AI is, what authority it holds, who delegated it and whether it fits.
Agent registry, MCP and tool security, agent-to-agent trust and tool controls.
ALLOW / APPROVE / BLOCK on consequential AI actions before execution.
Regulatory mappings, Regulation-as-Code, jurisdiction packs and control requirements.
Governed remediation, approval workflows, containment and kill switch.
Action Passport, tamper-evident and continuous evidence, audit trails.
Behaviour and drift detection, authority re-evaluation and continuous compliance.
Governed adversarial validation against controlled test fixtures with reviewed remediation, retesting and signed evidence.
Bounded lab. Seeded fixtures only. Broader autonomous vulnerability research remains roadmap.
Open the Adversarial Assurance lab ↗The live PoC implements an isolated identity-to-action control path. Capability status describes what is demonstrable now, what is being built for pilots and what remains roadmap.
Vision: bounded machine commerce and cross-enterprise trust.
SHARED FOUNDATIONS
The Universal AI Trust Graph links people, AI systems, agents, tools, data, authority and consequence. Shared policy, enforcement and evidence services let each capability use the same decision context.
QSGT²™ TRUST ARCHITECTURE
QSGT² explains how enterprise intent becomes bounded, explainable AI behaviour before execution.
Explore QSGT²THE NEXT CONVERSATION
Start with one workflow. Define its authority, test its boundaries and make every decision explainable.
Discuss a pilotRun the live demo