FCA Mills Review
Recommends a trusted framework for how AI agents are authorised, identified and held accountable.
Source ↗WHY NOW
AI autonomy is moving
faster than enterprise control.
Dated regulatory and market signals show why organisations in every regulated sector need AI trust infrastructure now.
US SR 26-2
Places generative and agentic AI outside model-risk guidance; banks remain responsible for governing them.
Source ↗Guardian agents
Gartner analysis cited by Opsin says internal policy violations are expected to drive a large share of unauthorised AI-agent transactions.
Source ↗Qatar draft National AI Policy
Qatar’s Ministry of Communications and Information Technology published a draft National AI Policy for consultation, extending the national AI conversation beyond a single sector.
Source ↗Agentic AI risk controls
Gartner predicts over 40% of agentic AI projects will be cancelled by end-2027, citing inadequate risk controls among the causes.
Source ↗QCB AI Guideline
Requires an annual AI register and approval gates for high-risk AI, creating the first binding Qatar control need QVATRICS is targeting.
QCB guideline summary ↗National strategy context ↗MCIT ethical AI guidelines
Guidance addresses AI development, deployment and use across sectors, broadening the trust and governance requirement beyond financial services.
Source ↗NCSA secure AI adoption guidance
Qatar’s National Cyber Security Agency launched guidance for secure adoption and use of AI across organisations.
Source ↗Qatar data-protection law
Law No. 13 of 2016 creates cross-sector obligations for organisations processing personal data, including AI-enabled processing.
Law text ↗THE COMMON QUESTION
Who authorised the AI
to do that?
Posture, identity, policy and evidence are often managed separately. Payments, production changes and data exports cross all four at once.
QVATRICS ONE connects them into one authority and evidence path before execution.
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What should your AI
be trusted to do?
Start with one workflow. Define its authority, test its boundaries and make every decision explainable.
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