Pentagon vendor cutoff exposes the AI dependency map most enterprises never built
The federal directive ordering all U.S. government agencies to cease using Anthropic technology comes with a six-month phaseout window. That timeline assumes agencies already know where Anthropic’s models sit inside their workflows. Most don’t today.Most enterprises wouldn’t, either. The gap between what enterprises think they’ve approved and what’s actually running in production is wider than most security leaders realize.AI vendor dependencies don't stop at the contract you signed; they cascade through your vendors, your vendors' vendors, and the SaaS platforms your teams adopted without a procurement review. Most enterprises have never mapped that chain.The inventory nobody has runA January 2026 Panorays survey of 200 U.S. CISOs put a number on the problem: Only 15% [...]
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Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
Agentic security: Enterprises enforce agent permissions two-thirds of the time — and isolate high-risk agents less than one in five
Across 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permiss [...]
Enterprises lost Claude Fable 5 for a few weeks. New data shows two-thirds had already built their hedge
Two-thirds of enterprises have hedged their AI model strategy, and the past few weeks of controversy around Anthropic’s Claude Fable 5 model showed why that posture has gone mainstream. On June 12, [...]
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer
Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]
Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost
Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibility across models rat [...]
Agentic reliability and evaluations : Enterprises that got burned by a bad eval are the most likely to remove humans from the loop, not the least
Across 108 enterprises, trust in automated agent evaluation rose sharply in July — and the failure rate it is supposed to predict did not move at all. The share of organizations that fully trust aut [...]
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs
Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that [...]