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AI "is going to be a part, if not a leading part, of every project going forward" at the National Cybersecurity Center of Excellence, according to its director.
Read full articleIn late 2025, the security community stopped treating indirect prompt injection as a theoretical risk. It had spent two years as a tidy lab demonstration; then production systems started getting hit. The OWASP Top 10 for LLM applications now ranks prompt injection as the number-one risk, NIST has called indirect injection generative AI’s greatest security […]
June 5, 2026 — A fire alarm jolts you from your office desk, and you head for the nearest exit. But what if the closest exit has already been blocked by […] The post NIST Researchers Develop AI Model to Guide Building Evacuations During Fires appeared first on AIwire.
NIST said six "task groups" will be at the center of the AI Consortium's focus on measurement, innovation and adoption.
May 29, 2026 — To broaden its support of collaborative research in artificial intelligence (AI), the National Institute of Standards and Technology (NIST) is extending the scope of an AI-focused consortium […] The post NIST Expands AI Consortium’s Scope, Calls for New Members appeared first on AIwire.
NIST’s 800-53 and Cybersecurity Framework created a global IT security foundation. Now they’re applying the model to AI security.
The post Quantum-Proof Wallets: Crypto Firms Race to Secure Digital Assets Ahead of Protocol Upgrades appeared on BitcoinEthereumNews.com. TLDR: Crypto firms are upgrading wallets to post-quantum MPC signatures before blockchain protocols make the same shift. NIST-approved algorithms like ML-DSA are being evaluated for distributed signing compatibility across wallet systems. Institutions with existing MPC infrastructure can migrate to quantum-resistant wallets through a simple code upgrade. Wallet-level upgrades alone cannot fully protect users if underlying blockchain networks do not follow with protocol changes. Quantum-proof wallets are becoming a priority for crypto companies as the threat of quantum computing draws closer. Firms are now upgrading their wallet infrastructure faster than blockchain networks can update their core protocols. The concern stems from estimates suggesting a “Q-Day” scenario could arrive as early as 2030. One recent report by Project Eleven warns that quan
The Center for AI Standards and Innovation (CAISI), a division of the US Department of Commerce, has signed agreements with Google DeepMind, Microsoft, and xAI that would give the agency the ability to vet AI models from these organizations and others prior to their being made publicly available. According to a release from CAISI, which is part of the department’s National Institute of Standards and Technology (NIST), it will “conduct pre-deployment evaluations and targeted research to better assess frontier AI capabilities and advance the state of AI security.” The three join Anthropic and OpenAI, which signed similar agreements almost two years ago during the Biden administration, when CAISI was known as the US Artificial Intelligence Safety Institute. An August 2024 release about those agreements indicated that the institute planned to provide feedback to both companies on “potential safety improvements to their models, in close collaboration with its partners at the UK AI Safety In
An EO requiring pre-deployment review of frontier AI models would likely increase the workload at NIST's Center for AI Standards and Innovation.
