The public and private sector face the daunting task of aligning their evolving AI systems to clear policies and regulations. Verifiable AI is a novel framework that draws from cutting-edge cybersecurity practices and computational integrity approaches to achieve new breakthroughs in AI governance. It addresses the unique challenges of AI development and deployment of today and the interconnected agentic and multi-party systems of tomorrow to create a comprehensive path for enterprises to adopt AI. 

This talk explores how Verifiable AI frameworks can easily stand up distributed notary services that create a transparent chain of integrity from training to inference—attested to by software-level cryptography or even new hardware-level signatures on both the CPU and GPU. As a holistic solution, Verifiable AI integrates cryptographic proofs with automated checks, verifies governance, privacy, compliance, and identity to build trust and drive innovation across the AI lifecycle.

In this presentation, learn how Verifiable AI:

1. Architects a new paradigm in trust and transparency for AI across all domains. 
2. Builds verifiability in data lineage and model governance that reinvents AI model registries 
3. Unlocks new accountability for responsible AI innovation and business value through verifiable proofs of AI operations
4. Syndicates trust across organizational boundaries
5. Enhances next generation secure computing environments