AI Trust and Security Consortium Launches Enterprise AI Standards Group
AI Trust and Security Consortium launched as an independent standards group for enterprise AI trust and security, the organization announced in a press release.
Founding members include Ulf Mattsson, founder of Protegrity, Lori Higham, President of Secure Cloud Provider Inc, and Maggie Amato, a CISO/BISO leader formerly of Salesforce and Dell.
The consortium is capped at 50 security and technology leaders. Members will coauthor reference architectures, control frameworks, and governance models for boards, and will share real incidents and vendor performance under confidentiality rules.
Applications are open to CISOs, CIOs, CTOs, Chief Privacy Officers, and heads of GRC or security architecture who are accountable for AI governance, AI risk, or AI enablement in regulated or high stakes environments. Applications will be reviewed on a rolling basis.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 16 HKMA Introduces ART Framework for AI Use in Banking Oct 15 UK Medicines Regulator Plans AI Safety Tools by 2030 Oct 15 OpenAI Agrees Not to Use Apple Trade Secrets During Lawsuit Oct 15 Financial Stability Board Publishes 12 AI Practices for Financial Firms Oct 15 Singapore Launches Three AI Safety InitiativesMore from Cybersecurity
Oct 16 Inlayer, JLINC and Vconic Introduce Human Verification for Calls Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Advantech and DEKRA Partner on Industrial Cybersecurity Compliance Oct 15 Cyfendo Offers AI Code Scanning and Patch Review for Small Businesses Oct 15 Perplexity Open Sources SPACE Agent SandboxAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
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.
Read moreYou may also like
Driven Tech Joins Open Secure AI Alliance, Submits Security RFC
CompTIA says enterprise AI is shifting toward risk management
Elisity Joins Open Secure AI Alliance
NeuralTrust Named Pioneer in Gartner AI Application Security Quadrant
EDGE AI Foundation Forms Three Edge AI Working Groups
Daily AI Brief: the AI news that matters, in your inbox.