Cloudera and VAST Data Launch Unified AI Factory for Hybrid Enterprise AI

Every AI agent an enterprise deploys is a non-human identity that can take real action — and most organizations are about to have far more of them than they have ever had human employees. That one fact breaks the security model most companies still…

A major platform vendor just built its enterprise AI story around an uncomfortable admission: most organizations are running more AI in production than they can name, and that gap has turned from a hygiene issue into a budget and audit exposure. At…

A vendor shipping a comprehensive-sounding agent control tower is not the same as your enterprise having an answer for agent management. The architects who conflate the two will inherit a control plane by default, along with a definition of the prob…

Most enterprise architects have stopped treating the system prompt as where governance lives. That conclusion is no longer controversial. The interesting question — the one most current answers do not fully resolve — is where exactly governance does…

Derek du Preez's coverage of Google Cloud Next '26 cuts to the decision that actually matters for agentic systems: who owns the audit and policy plane when your agents start acting on enterprise data. Not the model. Not the framework. The control la…

The safety barriers built into frontier AI models are being stripped away in minutes, and that changes what a CISO can assume about every model entering the enterprise. An investigation by the Financial Times and the AI safety group Alice found that…

Most enterprises now have teams doing serious architectural work on agentic AI. The work is necessary. The conversations being had inside it — about controls, surfaces, governance models, where deterministic constraints belong and where they cost mo…

Recently, an attacker filed a support ticket on a Supabase-backed application. The ticket contained hidden instructions directing a Cursor IDE agent — connected to the database via MCP and running with the service_role key — to read a private creden…

The agent cannot defend what the pipeline never captured. If signer identity, consent, version, and provenance are not emitted as structured signals at the moment a document enters the institution, no downstream model — however capable — can reconst…

A new Cloudera survey covered in Saudi Gazette puts a number on something most architects already feel: in EMEA, 69% of organizations assign data readiness to the CIO or CTO, and over 90% of those report a data strategy tied to business objectives.…

The capital request that lands on your desk for an enterprise agent control plane needs a different diligence standard than the one that worked for the last decade of SaaS. A category of vendor announcements is converging on the same offer. ServiceN…

Phil Wainewright's latest piece on diginomica does the useful work of naming something most enterprise AI conversations skip: the decision threads buried in Slack, email, comments, and team apps are where the why of enterprise activity actually live…

The current generation of enterprise AI pitches is more sophisticated than the skeptics give them credit for. The orchestration vendors have done real work on making agent behavior inspectable. What most of them have not done is push that inspectabi…

Diginomica's write-up of NatWest's Venture Banking launch with AWS is being read as an AI announcement. It is not. It is a story about institutional discipline — about a bank that accepted the boring, expensive, multi-year work had to come before th…

This piece walks through a failure mode most enterprise RAG pipelines have but no one is measuring: retrieval works, the right documents come back, and the model still answers wrong because two of those documents contradict each other. A preliminary…

Enterprise AI is crossing from experimentation into operation, and the cost structure of that transition is not what the first wave of business cases assumed. AI Business reported in mid-April that Salesforce, Databricks, and AWS each released agent…

The system prompt that tells your agent "never refund more than $500" is not a control. It is a suggestion the model will follow most of the time, ignore some of the time, and abandon entirely when an adversarial input finds the right shape. If the…

The shift this quarter is not what AI can do next, it is what enterprises can actually govern once AI is running across their systems. AI Business reported in mid-April that Salesforce, Databricks, and AWS all rolled out agent governance and registr…

Gartner estimates that 85% of AI projects fail to deliver value. McKinsey places enterprise AI success rates below 20%. These aren't rounding errors. They're systemic failure. The explanations vary. Insufficient data. Poor model selection. Organizat…

The real AI shift isn't the next model — it's control. The part I'd underline from this piece: the context layer. We've seen large implementations where context got stuffed into oversized prompts — dazzling in the demo, and initially celebrated as l…

Structure-aware retrieval is having a moment. A steady stream of papers, product launches, and polished blog posts is making the case for embedding document structure — section hierarchies, breadcrumbs, parent-child relationships — directly into the…

Most organizations confuse agentic AI with conversational interfaces. They treat agents as chatbots with memory, then wonder why their deployments fail in production. The confusion is expensive. An agentic system doesn't just respond — it acts. It m…