Application-level guardrails catch bad prompts. They don't stop a hallucinating agent from misusing a legitimate credential. Here's why agentic AI security requires three distinct architectural layers — and why most enterprises are underinvesting in the most important one. Read more
Every agent action reviewed by a human sounds rigorous. In practice, it's a throughput killer — and it trains teams to approve without reading. The smarter model routes oversight to the decisions that actually warrant it. Here's how that architecture works. Read more
OutSystems' new agentic loan platform unites customer-facing apps, governed AI agents, and deterministic workflows in a single system — sitting on top of existing banking infrastructure rather than replacing it. Here's what that design choice signals about where agentic AI is actually headed. Read more
AI capabilities are reaching production, but they keep stopping just short of the business processes where revenue and risk live. That last-mile gap is now the defining challenge for enterprise AI — and it demands a different question than 'which model should we use?' Read more
Enterprises are spending heavily on AI and seeing genuine capability gains — yet returns keep disappointing. The technology is arriving at the door but stopping short of the processes that actually move the needle. Understanding why that last mile is so hard to cross changes everything about how AI gets deployed. Read more
Teams keep building smarter agents — but when the underlying documents contradict each other, no model can compensate. The next competitive edge in enterprise AI isn't a better agent. It's the shared knowledge foundation that makes every agent trustworthy. Read more
Gartner predicts 40% of today's agentic AI projects won't make it to 2028 — not because the models failed, but because governance did. Here's what the enterprises that are succeeding actually have in common, and what it means for anyone deploying autonomous agents now. Read more
Every time an agentic system routes a task from one model to another, the receiving model pays a steep recompute penalty. Nvidia researchers found that simple linear math — not deep learning — can transfer conversational memory between models up to 25 times faster, with accuracy losses small enough to matter in production. Read more
For decades, audit meant sampling. MindBridge and Fieldguide's integration changes that — embedding transaction-level AI risk analysis directly into agentic audit workflows. The shift from sample to full population is quieter than it sounds, and more consequential than most realize. Read more
Serval's Catalyst super agent scans connected systems, identifies repetitive IT work, and drafts governed automations before a ticket is ever raised. It's an early signal of where enterprise service management is heading — and why 'agentic' now means something more specific than AI-assisted. Read more