Context Engineering is the discipline of systematically and at runtime filling the context window of language models with the right information in optimal form—far more comprehensive than prompt engineering.
Anthropic introduces a performance classification system for Claude integrators that measures demonstrated productive customers, certified personnel, and published case studies rather than abstracting on company size.
AI-powered phishing and malware campaigns enable massive scaling and evasion of conventional detection methods, overwhelming traditional security measures.
Uber caps AI-coding tool usage per employee and tool at $1,500 monthly, equivalent to approximately 11 percent of the average annual compensation for a software engineer.
The EU is responding to technological dependencies with an integrated package of semiconductor, cloud-AI and open-source initiatives designed to secure long-term European control over critical technology value chains.
Prompt injection vulnerability in Google Gemini Voice Assistant enables hidden malicious commands through manipulated notifications, potentially leading to social engineering and data misuse.
Romance scams and AI-driven emotional manipulation require a rethink of security architecture: Technical protection without psychological early detection is no longer sufficient.
Microsoft creates dedicated security frameworks for autonomous AI agents with the Execution Container and MDASH system to prevent uncontrolled access, data leaks, and code execution.
AI empowers threat actors to conduct more sophisticated post-compromise phases, rendering traditional risk measurements based on technique variety or interface type obsolete.
