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Indian marketing platform MoEngage has made an all-cash acquisition to bring per-customer AI agent technology in-house — a move that signals where enterprise marketing automation is heading.
A new architectural pattern called 'the loop' lets swarms of AI agents run indefinitely in the background—no human trigger required. Here's what that shift means in practice.
OpenAI is directing its AI systems toward automated vulnerability detection and patching in open source software — a move that could meaningfully shift how the community handles security at scale.
Apple's WWDC spotlight fell on Siri's overhaul, but iOS 27 quietly packs AI capabilities across the OS that may matter more to everyday workflows.
Apertus is positioned as an open foundation model aimed at organizations that need control over where and how their AI runs. Here's why a sovereignty-first approach matters and what you can actually do with it.
Three decades of attempting to restrict cybersecurity software exports — from PGP to commercial spyware — have consistently failed. Anthropic's Mythos model looks set to repeat that history.
AI models capable of sophisticated offensive security tasks are on track to become standard, not exceptional. Builders and security teams need to plan around that reality now.
Washington forced Anthropic to withdraw two flagship models over national security fears, but cybersecurity researchers are pushing back hard — and the controversy may be doing Anthropic's reputation more good than harm.
Anthropic's Model Context Protocol now supports enterprise-managed authentication, letting organizations centrally control OAuth credentials for MCP servers without requiring end-users to authorize each connection manually.
As more discovery shifts from search engines to LLMs, a new site called In the Weights lets you check how strongly frontier and smaller models recognize your name or work.
A critical vulnerability in Microsoft Copilot enabled attackers to exfiltrate one-time passwords and sensitive data through a prompt injection attack — a class of exploit the industry keeps failing to prevent.
After a wave of uncapped AI usage experiments, companies are now confronting the bills. The hard question — what are we actually getting for this spend — remains largely unanswered.
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