These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Using AI to find security vulnerabilities holds significant promise, but the initial products fall short of businesses' and software developers' needs.

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Why Passwords Are Still a Developer's Problem in 2026. The case against password-based authentication is well-established in the IAM community, but the practical implications for ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 7:05 PM ESTCompany ParticipantsSridhar Ramaswamy - ...

Can a search-first AI beat the world's best reasoning model? I pitted Perplexity against Claude across 7 real-world ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...