Partner Content
AI agent access is moving faster than identity controls can govern
Presented by 1Password
VB Staff
Partner Content
AI agents can have accurate data — and still make the wrong business decision
Presented by SAP
VB Staff
Scaling AI agents requires three things: Inventory, contracts and maintained context
Enterprises that run more than a handful of AI agents in production face risk, cost and oversight burdens that grow exponentially with every agent they add, says Felix Van de Maele, founder and CEO of data governance company Collibra. In a conversation with VentureBeat founder and CEO Matt Marshall at VentureBeat's AI Week event in New York, Van de Maele traced most agent failures to the business context those agents receive — and said companies need deterministic controls on agent behavior before their agent count grows.
VB Staff
Up to 60% of GPU compute goes to recomputing context. Flash storage can put that capacity back to work
GPUs running large language model inference can spend up to 60% of their compute recalculating context they already processed, says Alan McSeveney, field CTO at WEKA. Speaking with VentureBeat lead analyst Rob Strechay at the latest stop in the VentureBeat AI Impact Series, McSeveney said the waste goes back to how large language models hold conversation history in GPU memory, arguing that fixing it lets companies serve several times more users on hardware they already own. The efficiencies WEKA customers struggle with most show up in infrastructure, separate from the application metrics each business tunes for its own domain.
VB Staff
Partner Content
Browser security’s buying spree rests on one engine, without a clear Plan B
Presented by CloudMosa
VB Staff
Partner Content
Agents need more than business process knowledge. They need to understand how your company actually works
Presented by SAP
VB Staff
Partner Content
AI agents can’t fix infrastructure failures they can’t diagnose
Presented by Virtana
VB Staff
Agentic security: Enterprises rely on OpenAI most to secure AI agents, and those that do are nearly three times as likely to say attackers are ahead
OpenAI's guardrails secure 40% of enterprise AI agents, but 43% of these organizations say attackers are ahead. 59% have faced security incidents or near-misses.
VB Staff
AI infrastructure and compute: 48% of organizations running AI in production name a Google platform as their primary AI platform, more than twice OpenAI's share
48% of enterprises running AI in production choose Google as their primary platform, outpacing OpenAI and Azure, according to a VentureBeat survey.
VB Staff
Agentic reliability and evaluations: Fewer enterprises plan to let AI agents ship production changes on automated checks alone — 56% allow it or plan to, down from 75% in July
56% of enterprises with AI agents allow automated production changes, down from 75% in July, highlighting trust issues in AI evaluations.
VB Staff