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Just a few weeks after announcing Claude Managed Agents, Anthropic has updated the platform with three new capabilities that collapse infrastructure layers like memory, evaluation, and multi-agent orchestration, into a single runtime. This move could threaten the standalone tools that many enterprises cobble together. The new capabilities — ‘Dreaming,’ ‘Outcomes,’ and ‘Multi-Agent Orchestration’ — aim …

Anthropic wants to own your agent’s memory, evals, and orchestration — and that should make enterprises nervous Read More »

A CEO’s AI agent rewrote the company’s security policy. Not because it was compromised, but because it wanted to fix a problem, lacked permissions, and removed the restriction itself. Every identity check passed. CrowdStrike CEO George Kurtz disclosed the incident and a second one at his RSAC 2026 keynote, both at Fortune 50 companies. The …

An AI agent rewrote a Fortune 50 security policy. Here’s how to govern AI agents before one does the same. Read More »

Presented by SAP The enterprise software industry has undergone a fundamental shift, and vendors are adapting their approaches to better protect the customers who rely on them. For years, every global platform vendor running multi-tenant cloud infrastructure has maintained documented rate limits, usage controls, and restrictions on the use of undocumented internal interfaces. CRM platforms …

Governance, not gatekeeping: How SAP brings enterprise‑grade safety to AI connectivity Read More »

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity now or your enterprise would be left behind. The bill is now due, and the CFO is paying attention. Gartner estimates AI infrastructure is …

5% GPU utilization: The $401 billion AI infrastructure problem enterprises can’t keep ignoring Read More »

Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new capability called “dreaming” that lets AI agents learn from their own past sessions and improve over time — a step toward the kind of self-correcting, self-improving …

Anthropic introduces “dreaming,” a system that lets AI agents learn from their own mistakes Read More »

Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate. Researchers at Sakana AI have introduced the “RL Conductor,” a small language model trained via reinforcement learning to automatically orchestrate a diverse pool of worker LLMs. …

How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro Read More »

Even as leading AI providers like OpenAI and Anthropic battle over the compute to train and release ever larger, more powerful models, other labs are going in a different direction — pursuing the development of smaller, more efficient models and often open sourcing them. The latest worth paying attention to comes from the lesser-known Palo …

Meet ZAYA1-8B, a super efficient, open reasoning model trained on AMD Instinct MI300 GPUs Read More »

Presented by Zeta Global The gap between what AI promises and what it delivers is not subtle. The same model can produce precise, useful output in one system and generic, irrelevant results in another. The issue is not the model. It’s the context. Most enterprise systems were not built for how AI operates. Data is …

Why AI breaks without context — and how to fix it Read More »

Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. No shell commands are hiding in the SKILL.md. Green across the board. The scanner never looked at the .test.ts file sitting one directory over. It …

Anthropic Skill scanners passed every check. The malicious code rode in on a test file. Read More »

In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional market research cycle — often spanning 12 weeks — is becoming a liability. The lag between a survey question and the answers from a wide (or targeted) pool of respondents has become a primary bottleneck …

Market research is too slow for the AI era, so Brox built 60,000 identical ‘digital twins’ of real people you can survey instantly, repeatedly Read More »