Artificial intelligence is everywhere — but trust is no longer optional.

In this episode, we explore the concept of verifiable AI: a new paradigm that combines explainability, audit trails, data lineage, cryptographic proof, and secure hardware to make AI systems transparent, defensible, and regulation-ready.

As global frameworks like the EU AI Act and the NIST AI Risk Management Framework reshape the compliance landscape, organizations must move beyond performance metrics and demonstrate provable accountability.

In this episode, we cover:

• What verifiable AI actually means
• How zero-knowledge proofs and trusted execution environments work
• Why content authenticity standards like C2PA matter
• Real-world use cases in healthcare, finance, enterprise AI, and the public sector
• Performance trade-offs and implementation challenges
• How companies can prepare today

Find out more here: https://sam-solutions.com/blog/verifiable-ai/