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…

Most enterprise AI is built on an assumption that holds for ordinary data and breaks on the data that matters most: that the data will move to the model. For the bulk of workloads, moving data to where the models run — usually a central cloud enviro…

Regulators took agentic AI out of the model-risk rulebook and left the duty to govern it in place. The standard a bank writes to fill that gap is worth exactly what its architecture can enforce — and prove. — SR 26-2 made the agentic AI control stan…

The guidance that pulled agentic AI out of model risk didn't say who inside the bank now owns the cost of governing it, and that silence is where the exposure collects. SR 26-2 carved generative and agentic AI out of model risk and declined to speci…

In April, the framework that has governed bank model risk for fifteen years was rewritten, and the fastest-moving AI in the institution was deliberately left outside it. SR 26-2 rewrote bank model-risk guidance in April and deliberately placed gener…

Capital requests for AI agent governance are arriving on CFO desks one platform at a time, each defensible in isolation, and the gap between them is where the financial exposure lives. The reason these requests are arriving now is that the market ju…

Before any agent can act on a financial record, something or someone has to turn that record into trustworthy structured data. That handoff is where many institutions are quietly failing today. The pattern is familiar to anyone who has worked inside…

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…

Your next agentic AI deployment is likely to struggle under examination for reasons your model risk framework wasn't built to catch. Industry analysts including Gartner and McKinsey continue to report that the majority of enterprise AI projects fail…

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…

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.…

A subsidiary lost a material share of its annual turnover for eight straight years to a fraud scheme that never tripped a single control, because the controls were watching the wrong things. The Fintech Times this month walked through the mechanics…

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…

Courts are starting to signal what risk officers already suspect: when an AI system causes harm, the bank that deployed it owns the liability, not the vendor that built it. A recent CIO feature on AI accountability lays out a dynamic that should lan…

A new Okta Threat Intelligence study shows AI agents handing over OAuth tokens, leaking credentials over unencrypted channels, and bypassing their own guardrails under entirely plausible enterprise conditions — and most CIOs have no inventory of whe…

Treasury's stablecoin rule turns a compliance question into a capital question, and the meter is already running. What CFOs and compliance leaders need to know: The clock is twelve months from rule finalization, with comments closing June 9 — short…

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…

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 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…