venturebeat
The missing layer between agent connectivity and true collaboration

Today's AI challenge is about agent coordination, context, and collaboration. How do you enable them to truly think together, with all the contextual understanding, negotiation, and shared purpose that entails? It's a critical next step toward a new kind of distributed intelligence that keeps humans firmly in the loop.At the latest stop on VentureBeat's AI Impact Series, Vijoy Pandey, SVP and GM of Outshift by Cisco, and Noah Goodman, Stanford professor and co-founder of Humans&, sat down to talk about how to move beyond agents that just connect to agents that are steeped in collective intelligence.The need for collective intelligence, not coordinated actionsThe core challenge, Pandey said, is that "agents today can connect together, but they can't really think [...]

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As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]

Match Score: 173.69

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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: 154.34

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Claude’s next enterprise battle is not models: it’s the agent control plane

New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]

Match Score: 150.50

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Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't

Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]

Match Score: 138.66

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One command turns any open-source repo into an AI agent backdoor. OpenClaw proved no supply-chain scanner has a detection category for it

Just two months ago, researchers at the Data Intelligence Lab at the University of Hong Kong introduced CLI-Anything, a new state-of-the-art tool that analyzes any repo’s source code and generates a [...]

Match Score: 121.56

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Agentic security: Enterprises enforce agent permissions two-thirds of the time — and isolate high-risk agents less than one in five

Across 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permiss [...]

Match Score: 115.77

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NanoClaw comes to Slack, letting you create persistent AI agent teams and colleagues from a single message

Adding an AI agent to Slack sounds appealing to many enterprises — but, as VentureBeat has experienced ourselves first hand — the reality is often far more complex and clunkier than it first seems [...]

Match Score: 111.35

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

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 identi [...]

Match Score: 109.38

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Nvidia's agentic AI stack is the first major platform to ship with security at launch, but governance gaps remain

For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]

Match Score: 109.16