

3238: How Prove AI is Redefining AI Risk Management with Distributed Ledger Technology
Apr 11, 2025
Mrinal Manohar, CEO of Prove AI, leads the charge in simplifying AI risk management with advanced technology. He sheds light on the challenges of rapid AI adoption amid rising demands for accountability and compliance. With distributed ledger technology, Prove AI aims to establish tamper-proof audit trails, ensuring transparency. Mrinal explains how traditional monitoring fails in today's complex AI landscape and introduces their upcoming GRC product, designed to help businesses meet evolving regulatory standards effortlessly.
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Early AI Auditing Challenges
- Mrinal Manohar built an automated trading system in 2007, similar to current AI.
- Auditing this early system was difficult, highlighting the need for better AI auditing tools.
AI Requires New Auditing
- Standard software auditing methods are unsuitable for AI due to its continuous nature and exponential complexity growth.
- AI risk management requires a technological solution, integrating deeply with models and data sources to capture event streams.
DLT for AI
- Distributed Ledger Technology (DLT) offers tamper-proof audit logs, unlike traditional databases.
- Its multi-party nature with rigorous access control is crucial for managing multi-party AI systems.