Destination
AI security: establishing the first and last layer of defense

With rapid AI adoption, businesses need new methods to protect their data. Network segmentation is the key to establishing a first and last line of defense. [...]

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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: 110.27

venturebeat
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: 87.48

venturebeat
The three layers of agentic AI security: A defense-in-depth architecture for autonomous agents

Presented by Nutanix Autonomous systems that can reason, make their own decisions, and execute actions across an environment introduce a category of risk that application-level controls were never bui [...]

Match Score: 84.35

venturebeat
85% of enterprises are running AI agents. Only 5% trust them enough to ship.

Eighty-five percent of enterprises are running AI agent pilots, but only 5% have moved those agents into production. In an exclusive interview at RSA Conference 2026, Cisco President and Chief Product [...]

Match Score: 81.84

venturebeat
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: 76.89

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: 74.94

venturebeat
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: 71.88

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: 69.21

venturebeat
57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one?

An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]

Match Score: 65.17