Over the past decade, security leaders invested heavily in two ideas: that bots were bad and users were predictable. Bot management and UEBA (user and entity behavior analytics) became the standard ...

The company sees its recently announced platform as a way to manage complex, large-scale agent deployments — and compete with ...

AI agents were supposed to be the shiny new heroes of customer experience. In 2026, they’re just as likely to be the reason your CFO cuts the budget and your CIO can’t sleep. But the problem isn’t ...

Microsoft is no longer content to sell individual AI copilots, it now wants to sit on top of the entire agent stack and coordinate how those bots behave at work. With Agent 365, the company is ...

McNulty: Talkdesk supports Model Context Protocol (MCP) at the AI agent layer to enable structured, secure access to ...

BitsLab's foundation is built on years of deep security work across ecosystems such as Sui, Aptos, TON, Solana, Linea, BNB Chain, Soneium, and Starknet. Through its audit brands—MoveBit, ScaleBit, and ...

Agentic artificial intelligence is still in vogue for Silicon Valley’s venture capitalists, with Relevance AI and Stack AI joining the latest hot startups to attract millions of dollars in funding.

Red Hat Inc. said today it’s gearing up its artificial intelligence ambitions with the launch of a new platform called Red Hat AI Enterprise that’s meant to make it easier to deploy and manage models, ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

In the last two years, many enterprises measured “AI progress” the same way they measured software progress: how many tools were deployed and how many teams adopted them. That era is ending. A new ...