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enterprise-ai

A collection of 66 issues

The RAG cleanup trap is real, but retrieval-layer defenses can still help

The vector stores that feed RAG systems inherit the structural noise, schema drift, and stale records of the pipelines behind them. That is the central claim of the "cleanup trap" argument advanced by senior data engineer Naveen Ayalla, and it is mostly right. The framing overshoots, however, in

Enterprise AI agent security lags as sharing hits 69%, survey finds

A VentureBeat Pulse Research survey of 107 enterprises puts numbers behind a feeling many security teams already have: AI agents are operating in production with controls that were not designed for them. More than half of respondents (54%) have already had a confirmed agent security incident (18%) or a near-

Enterprise AI retrieval gap pushes firms toward hybrid and governed layers

VentureBeat Pulse Research surveyed 101 enterprises about how their AI agents get business context, and the data points to a specific operational gap: enterprises are picking the wrong axes to optimize on. Retrieval is the primary context source for 38% of respondents, and provider-native tools lead every purpose-built

Enterprise AI agent evaluation gap leaves half of passed agents failing

A VentureBeat Pulse survey of 157 enterprises found that half have shipped an AI agent or LLM feature that cleared their internal evaluations and then failed a customer in production. Only 5% say they fully trust automated evaluation. Yet two-thirds already allow, or are actively engineering toward, allowing agents

Amazon AI agents: 85% pilot, 5% production gap is a measurement problem

Amazon's AGI autonomy lead Bryan Silverthorn argued at VB Transform 2026 on Tuesday that the 85% pilot-to-5% production gap in enterprise AI agent deployment reflects a measurement problem, not a capability shortfall. The argument is correct in direction but lighter on mechanism than it appears, and

Claude leads enterprise orchestration while multi‑step agent use stays low

Anthropic's Claude leads enterprise agent orchestration by a wide margin, but the more revealing number in a VentureBeat Pulse survey of 101 enterprises is the gap between orchestration ambition and what those deployments actually do. Seventy-one percent of respondents say a quarter or fewer of their deployed

Amazon AGI lab says AI agent pilot to production gap is measurement failure

Amazon's AGI autonomy lead used a VB Transform 2026 stage to argue that the enterprise agent deployment gap is a measurement failure, not a capability one. Bryan Silverthorn, who joined Amazon through the Adept AI acquisition, said teams are still scoring agents on benchmarks that mask the dimensions

Celonis buys Ikigai Labs to embed structured data AI in its automation suite

Ikigai Labs, a spinoff from MIT researcher Devavrat Shah focused on AI for tabular data, has been acquired by Celonis, signaling a push to integrate specialized structured data models into enterprise process automation. The acquisition highlights a contrast with mainstream AI trends that prioritize unstructured data, positioning this technology as

1Password launches AI spend and consumption dashboard for token tracking

1Password launched AI Spend and Consumption Management on Tuesday, an extension of its SaaS Manager platform that pulls token-level consumption data from Anthropic, Cursor, and OpenAI into a single dashboard. The product sits inside an identity management company, not a procurement or FinOps vendor, and the move is a