Why zkML? Because @awscloud just unveiled frontier-scale AI agents designed to run autonomously for hours or even days at a time, completing end-to-end business tasks without human supervision.When AI stops being a tool and starts behaving like an operator, the ability to prove what it did becomes essential. ...

4/zkML gives teams a way to inspect the process:✔️ confirm the model version behind each step✔️ confirm which evidence influenced each claim, without exposing sensitive files✔️confirm required review rules were actually followed✔️ allow auditors to examine the reasoning without revealing proprietary logicThis turns AI-generated reports from guesswork into something accountable. ...

Why zkML? Because Deloitte’s government HR and health report came under scrutiny after reviewers discovered several citations that didn’t exist.Once AI contributes to official analysis, the conclusion itself isn’t enough. Reviewers need a way to check how each claim was produced. ...

When seeing stops meaning believing, trust has to be engineered.Our latest blog breaks down why deepfakes are not the real threat—AI we can’t verify is.And how zkML and verifiable computation make Polyhedra’s approach a foundation for trusted AI in the synthetic era.👉Read the full deep dive: https://t.co/VhmL6esdnt ...

4/That’s where zkML fits:✔️Prove each agent action came from the approved model✔️Prove which criteria guided the decision — without exposing customer data✔️Prove orchestration rules were followed exactly✔️Enable auditors and ops teams to validate reasoning without leaking internal logiczkML shifts agentic automation from “autonomous execution” to “provable execution.” ...

4/That’s where zkML matters:✅Prove a candidate assessment was generated using the approved model✅Prove which criteria guided the decision without exposing candidate details✅Prove institutional policies were enforced in the reasoning chain✅Enable auditors and HR teams to validate workflows without exposing internal logiczkML transforms AI-driven hiring from automated filtering into verifiable decisioning. ...

Why zkML? Because @HumanlyHR just launched an updated conversational AI platform designed to automate chat qualification, phone screenings, and structured video interviews — enabling enterprise-scale hiring.When AI is making first-line hiring decisions, verifying how candidates are assessed becomes critical. ...

Happy Thanksgiving from the Polyhedra team ✨Thank you for supporting our work in verifiable AI and zkML — we’re grateful for everyone pushing the boundaries of what’s possible with us. https://t.co/u09NUfdplg ...

4/That’s where zkML matters:✅ Prove insights were generated using the approved model✅Prove which inputs contributed without revealing their content✅ Prove reasoning chains followed organizational policies✅Allow auditors to validate outcomes while keeping data sealedzkML transforms AI-generated insights into verifiable enterprise intelligence. ...

AI Data Platform - OpenText unveiled its Next-Generation AI Data Platform to interpret, organize, and act on enterprise information at massive scale [1] AI Verification - Verifying how conclusions are derived becomes a core requirement when AI becomes the interface to an organization's source-of-truth data [1]