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 breach through LiteLLM. Both are traced to the same structural gap. Monitoring without enforcement, enforcement without isolation. A VentureBeat three-wave survey of 108 qualified enterprises found that the gap is not an edge case. It is the most common security architecture in production today.Gravitee’s State of AI Agent Security 2026 survey of 919 executives and practitioners quantifies the disconnect. 82% of executives say their policies protect them from unauthorized agent actions. Eighty-eight percent reported AI agent security incidents in the last twelve months. Only 21% have runtime v [...]

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venturebeat
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: 203.78

venturebeat
Four of five enterprises that secured AI agent identities still can't contain one that goes rogue

Visa's president of technology, Rajat Taneja, walked the VB Transform 2026 audience through aiming Anthropic's Mythos at Visa's own payment network. The model stitched minor weaknesses [...]

Match Score: 199.21

venturebeat
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials

Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incide [...]

Match Score: 179.99

venturebeat
Wall Street is debating the AI buildout. Enterprises just answered: 86% say their GPUs run at half capacity or less

Enterprise companies are running AI agents ahead of the controls needed to manage them — and they deployed that way knowingly. That is the central finding from VentureBeat Research's June surve [...]

Match Score: 161.63

venturebeat
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: 158.41

venturebeat
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: 152.67

venturebeat
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: 145.29

venturebeat
Shared API keys expose AI agents at 69% of enterprises, new VentureBeat research finds

Share one API key across five AI agents, and a single compromised agent inherits the reach of all five. The attacker immediately benefits from the accumulated permissions of every workflow that the ke [...]

Match Score: 144.84

venturebeat
Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost

Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibility across models rat [...]

Match Score: 143.63