Privacera Updates AI Governance Platform to Align with NIST Standards
Privacera has announced significant updates to its AI Governance platform, PAIG, aligning it with the National Institute of Standards and Technology's (NIST) AI Risk Management Framework. Announced in a press release, these updates aim to enhance AI risk management and compliance by providing a structured approach to AI governance.
The updated PAIG platform now fully aligns with the NIST framework, allowing organizations to implement AI security best practices systematically. This alignment helps enterprises manage AI risks, enforce policies, and maintain visibility across AI applications. Key enhancements include PAIG Navigator, which inventories AI assets and evaluates risks, PAIG Lens for periodic testing and evaluation, and PAIG Guard for implementing guardrails and access control mechanisms.
These updates are designed to help organizations proactively identify, assess, and mitigate AI-related risks, ensuring responsible AI deployment. The enhanced PAIG capabilities are available in open source and Privacera Cloud, promoting broader adoption and innovation in AI security.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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