What does AI governance actually do?

AI governance frameworks map risk factors (like model bias, hallucinations, or security vulnerabilities) to technical controls and measurements. Instead of relying on documentation and audits, evidence-based governance uses real metrics and continuous monitoring to prove compliance.

Will AI governance tools become mandatory?

Yes, eventually—especially in regulated industries. The EU AI Act already requires it for high-risk systems. As regulators move, expect compliance to become a core engineering requirement rather than a back-office function.

Is LatticeFlow the only player in this market?

No. There are other governance and AI risk platforms emerging, plus major cloud providers building governance features. LatticeFlow's bet is that specialization and technical depth will matter more than broad platforms.

📋 RegTech & Compliance

LatticeFlow AI's Peter Tsankov on Why AI Governance Just Became a $5 Billion Problem

The AI governance market is about to explode—and one startup is betting it can turn compliance from theater into engineering. CEO Peter Tsankov explains why.

Fintech Dose Apr 03, 2026 4 min read 21 views

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Dr. Peter Tsankov, CEO of LatticeFlow AI, discussing enterprise AI governance frameworks

⚡ Key Takeaways

The AI governance market is expected to grow from $200-300M today to $5B by 2032, driven by regulatory pressure and enterprise risk concerns 𝕏
LatticeFlow's differentiator is 'evidence-based governance'—automating compliance through technical controls and real metrics rather than paperwork 𝕏
This shift mirrors other infrastructure platform transitions: boring, unsexy, and absolutely essential once it becomes mandatory 𝕏

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Fintech Dose

Markets. Money. Innovation.

#AI governance #AI risk management #compliance automation #evidence-based governance

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Originally reported by CBInsights Fintech

⚡ Key Takeaways

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