NIST’s cyber center moves forward with ‘Cyber AI Profile,’ agentic AI projects
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.
O'Reilly AI-ML·
In 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 […]
Read full articleAI "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.
Insider Brief In June 2025, security researchers at Aim Labs disclosed a vulnerability in Microsoft 365 Copilot that required nothing from the victim at all. An attacker simply sent an email. Hidden inside that email were instructions intended not for the human recipient but for the AI assistant that would eventually read it. Weeks or […]
Most LLM applications need a clear workflow, not an autonomous agent. Here's how to build one in plain Python. The post You Probably Don’t Need an Agent Framework appeared first on Towards Data Science.
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