venturebeat
Will updating your AI agents help or hamper their performance? Raindrop's new tool Experiments tells you

It seems like almost every week for the last two years since ChatGPT launched, new large language models (LLMs) from rival labs or from OpenAI itself have been released. Enterprises are hard pressed to keep up with the massive pace of change, let alone understand how to adapt to it — which of these new models should they adopt, if any, to power their workflows and the custom AI agents they're building to carry them out? Help has arrived: AI applications observability startup Raindrop has launched Experiments, a new analytics feature that the company describes as the first A/B testing suite designed specifically for enterprise AI agents — allowing companies to see and compare how updating agents to new underlying models, or changing their instructions and tool access, will impact t [...]

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venturebeat
Microsoft’s Agent 365 shifts AI agents from sandbox tools to enterprise-grade infrastructure

Managing and maintaining AI systems remains a challenge for many enterprises, particularly with the potential for agentic sprawl to expose businesses to risky entry points. Microsoft entered the obse [...]

Match Score: 88.50

venturebeat
Microsoft says ungoverned AI agents could become corporate 'double agents.' Its fix costs $99 a month.

Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents op [...]

Match Score: 87.13

venturebeat
Most enterprises can't stop stage-three AI agent threats, VentureBeat survey finds

A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]

Match Score: 80.52

venturebeat
Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]

Match Score: 79.61

venturebeat
RSAC 2026 shipped five agent identity frameworks and left three critical gaps open

“You can deceive, manipulate, and lie. That’s an inherent property of language. It’s a feature, not a flaw,” CrowdStrike CTO Elia Zaitsev told VentureBeat in an exclusive interview at RSA Conf [...]

Match Score: 71.18

venturebeat
Andrej Karpathy's new open source 'autoresearch' lets you run hundreds of AI experiments a night — with revolutionary implications

Over the weekend, Andrej Karpathy—the influential former Tesla AI lead and co-founder and former member of OpenAI who coined the term "vibe coding"— posted on X about his new open source [...]

Match Score: 68.78

venturebeat
Nvidia launches enterprise AI agent platform with Adobe, Salesforce, SAP among 17 adopters at GTC 2026

Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, [...]

Match Score: 62.48

venturebeat
Amazon's new AI can code for days without human help. What does that mean for software engineers?

Amazon Web Services on Tuesday announced a new class of artificial intelligence systems called "frontier agents" that can work autonomously for hours or even days without human intervention, [...]

Match Score: 58.38

venturebeat
New agent framework matches human-engineered AI systems — and adds zero inference cost to deploy

Agents built on top of today's models often break with simple changes — a new library, a workflow modification — and require a human engineer to fix it. That's one of the most persistent [...]

Match Score: 58.37