The Trump administration and Anthropic are building a framework to evaluate security vulnerabilities in frontier AI models, with an executive order signed on June 2, 2026, establishing a voluntary pre…
A senior developer with over a decade of experience argues that the most valuable skill in AI-assisted software development is knowing when not to use AI. The developer warns that AI-generated code ca…
A developer compiled a comprehensive defensive knowledge base cataloguing known prompt-injection and jailbreak patterns, the models and systems they have affected, and the defenses against them. The r…
GitLab released version 19.1 on June 18, 2026, introducing AI-powered false positive detection for secret scanning, mandatory GitLab Duo enablement for enterprise governance, automatic code owner revi…
Google unveiled Android 17 on May 12, introducing post-quantum cryptography with the ML-DSA algorithm to secure devices against future quantum threats, while major AI features like the Rambler assista…
Recent advances in quantum computing have shortened the timeline for breaking RSA encryption to within five years, prompting Google to call for accelerated adoption of Post-Quantum Cryptography (PQC) …
The AI Lab published the TIP Protocol Whitepaper Version 1.0, a 140-page open standard for verified human identity and content provenance designed to be post-quantum and compliant with regulations lik…
Neo4j announced support for post-quantum hybrid key exchange in its 2025.01 release to defend against future quantum computer attacks and current Harvest Now, Decrypt Later threats. The feature uses X…
President Trump signed Executive Order 14409 on June 2, 2026, establishing a federal AI cybersecurity clearinghouse to coordinate vulnerability scanning and patch distribution, but the order lacks a d…
Anthropic's advocacy for AI regulation backfired when the US government banned its Claude model from federal agency use, illustrating AI regulatory capture. The company's safety-first positioning and …
Anthropic shut down access to its Fable and Mythos AI models after the White House invoked export controls, demanding the company block foreign nationals from using the models due to alleged cybersecu…
Companies often fail at their first AI pilot not from lack of ideas but from choosing an overly ambitious use case that tries to prove AI is impressive rather than testing whether the organization can…
A developer outlines how to implement Zero Trust Architecture (ZTA) in home labs using AI-native security tools like HookProbe's Neural-Kernel cognitive defense. The approach shifts from traditional '…
The NSA established the Artificial Intelligence Security Center (AISC) to protect US AI systems and promote secure AI adoption across the government and defense industry. The center publishes joint cy…
The National Institute of Standards and Technology (NIST) AI program develops standards, guidelines, and best practices for trustworthy and responsible AI. NIST created the AI Risk Management Framewor…
ProofLayer released ProofLayer Rules, an open-source runtime security layer for MCP servers and LangGraph agents that blocks prompt injection, jailbreaks, and tool abuse in real-time with sub-100ms la…
Security teams are mapping NIST's AI Risk Management Framework to ISO/IEC 42001 to create a unified governance playbook for autonomous AI agents in production environments. According to Check Point's …
Security leaders can apply NIST and ISO frameworks to govern AI agents that operate autonomously in production environments, as these agents now read sensitive documents, invoke internal APIs, and tri…
Eighty-eight percent of organizations now use AI in at least one business function, while 13% have experienced breaches of AI models or applications, according to McKinsey and IBM reports cited by ITS…
IBM argues that the lack of AI governance is not just a compliance risk but a major efficiency problem, as ungoverned systems lack cost controls, audit trails, and policy enforcement. The company prop…