On March 24, 2026, developers building AI applications with LiteLLM — a Python package with 95 million monthly downloads — ...
Language problems that require repeated correction could create productivity drag, operational risks, and hidden costs for ...
AI agent tool bypass vulnerability CoreBreak exposed production agent infrastructure at AWS, Google, and Vercel, where attackers could invoke tools without any model turn. AWS fixed its managed ...
With the launch of its MCP server, Nutanix customers can build Agentic AI applications that have access to a robust tools ...
I’ve tested a lot of AI tools over the past few years, and one thing that still drives me crazy is how quickly your workflow turns into a pile of different apps. One tool for research, another for ...
Vector expands its CANoe development and testing platform with new AI and Model Context Protocol (MCP) capabilities.
AI-generated code is accelerating software development, but review processes are not keeping pace. Learn why enterprises need ...
Microsoft has released a stable, customizable Agent Framework Harness for building autonomous agents with .NET and Python. The harness combines an automatic tool-calling loop with planning, persistent ...
At the cybersecurity conference Black Hat, researchers showed how an AI assistant at one of America’s largest retailers could ...
Risky security flaws are found in 45% of AI-generated code tests. Here are the 5 checks that make a vibe coded app safe to ship.
Vulnerabilities can lurk within production code for years or decades — and AI tools have opened a gateway to a glut of new long-hidden discoveries.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results