As AI agents become more autonomous, strong identity, access, and auditing controls are critical to keeping them secure.

While AI automates the bulk of test generation, teams must still budget substantial engineering time for human review and ...

SmartBear, helping teams build, test, and ship quality software at AI speed and scale, today announced its cohesive AI ...

More no-code and managed crypto bot usage means higher exchange activity, more order flow, and more fee revenue (spot + ...

In this exclusive conversation, we speak with Abdul J. Mohammad, a Senior Solution Consultant and Integration Technical ...

Mr Billions, a financial technology platform focused on market data infrastructure and automated research environments, has added activation in a single click for AI trading strategy tools within its ...

TestMu AI (formerly LambdaTest), the world's first Agentic AI-powered Quality Engineering platform, today announcedAPI calling support in Kane CLI, enabling test flows to call APIs, store their ...

Meta launches Muse Spark 1.1, its advanced agentic AI and coding model, with public API access, multimodal support and ...

The ChatGPT Work rollout comes alongside the debut of the new GPT-5.6 model, a new model that OpenAI promises provides ...

Researchers have uncovered a sustained campaign using GitHub's public APIs and ghost accounts to profile enterprise software ...

An exploration of autonomous AI agents as non-human identities, why classic risk models fail, and how zero-trust, guardrails, ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...