
Cyera Buys Oasis Security for $1B to Guard AI Agents
Cyera will pay about $1 billion for Oasis Security, its fifth 2026 acquisition, as enterprises scramble to manage the credentials of AI agents outnumbering human employees 45 to 1.
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Cyera will pay about $1 billion for Oasis Security, its fifth 2026 acquisition, as enterprises scramble to manage the credentials of AI agents outnumbering human employees 45 to 1.

Microsoft says MAI-Cyber-1-Flash helps MDASH beat every rival on the CyberGym benchmark, but the score isn't on CyberGym's own public leaderboard, and Wiz topped it the same day with a lower, verified number.

Three new papers show LLM answers flip under paraphrasing, coding-agent harnesses skew benchmarks more than models do, and a cloud provider ran agents safely for eight months with layered access control.

This week's research roundup covers agent benchmarks that reward exploits over real capability, reasoning models that give up despite having the answer, and why LoRA can't internalize multi-step procedures.

Cognition paid a low nine-figure sum for texting assistant Poke, its second acquisition in a year, betting that how an AI agent talks matters as much as what it can do.

A single chat message could break an AI agent out of Claude Cowork's isolated VM and reach an entire Mac, and Anthropic closed the report as informative.

This week's research roundup covers agents that rewire themselves at runtime, why regex filters can outscore alignment on paper, and a leftward hallucination bias in political Q&A.

Cognition rebranded Windsurf as Devin Desktop and rebuilt it around a Kanban board for managing fleets of coding agents - here's what that actually changes.

Cognition's proprietary coding model powering Devin, scoring 42.3% on FrontierCode 1.1 Main at $1.97/task via Cerebras inference at 1000 tokens/sec.

Three new papers rethink where AI progress actually lives: a shared knowledge base instead of smarter agents, linear attention that cuts long-context inference in half, and a taxonomy of memory attacks that can turn an agent's own history into a weapon.

Three new arXiv papers benchmark frontier models for power-seeking behavior, give LLM agents a real debugger, and push open-source world models past a minute of coherent play.

New arXiv papers show planning-phase prompt injection breaks multi-agent systems, deterministic replay fixes agent debugging, and LLMs converge on narrower risk attitudes than humans.