Search results for Shift Left
AI & Enterprise
Five skills software developers need in the age of AI coding
Andrew Ng, a Coursera co-founder and deep learning expert, said software engineering fundamentals remain essential in the era of agentic coding. He said developers must understand core principles to tell coding agents what to do and what to forgo, and to manage trade-offs such as latency, availability, reliability and cost. Citing his “AI Engineering Skills” research, Ng listed five needed capabilities: building full-stack applications, data management, system architecture design, making systems secure and stable, and scaling and operating in production.
AI & Enterprise
Mythos returns as agentic AI drives security operations center expansion
The U.S. government has lifted export controls on Anthropic’s top AI models, Claude Fable5 and Mythos5, raising expectations of renewed competition among companies seeking to deploy AI models in cyber security. OpenAI has also made limited releases of three GPT-5.6 models, including a top model focused on cyber security. Companies are moving to apply agentic AI to security operations centers, while firms and institutions in and outside South Korea outline new security initiatives and strategies.
AI & Enterprise
AI era puts focus on shift-left security to find and fix vulnerabilities during development
Amazon Web Services said high-performance AI is sharply cutting the time needed to find vulnerabilities and create attack code, increasing the number of flaws companies must address. It highlighted shift-left security, continuous verification and AI agent security. AWS described internal systems that protect infrastructure without customer involvement, and stressed automated reasoning to reduce hallucinations in security use cases. It also outlined its Security Agent and Continuum, while LG CNS shared results from adopting AWS Security Agent for automated penetration testing.