Agent security gap: 54% of enterprises already hit
AI agent security incidents are now widespread. 54% of enterprises have had a confirmed agent incident, yet most still let agents share credentials instead of scoped identities.
5 stories tagged enterprise ai.
AI agent security incidents are now widespread. 54% of enterprises have had a confirmed agent incident, yet most still let agents share credentials instead of scoped identities.
The AI agent evaluation gap shows 50% of enterprises shipped an agent that passed internal evals then failed in production. Only 5% fully trust automated evaluation. The gap is structural misalignment, not missing coverage.
The AI compute cost gap is widening: 92 percent of enterprises lack mature cost tracking for AI infrastructure even as 45 percent plan to switch or add providers within a year, risking runaway spend.
RLVR for tool-use agents trains a 4B model to hit 1.00 reward on Atlassian API tasks, up from a 0.35 baseline on Confluence page creation. Synthetic environments and verifiable rewards close the schema gap.
EVA-Bench Data 2.0 is a 213 scenario dataset for testing enterprise voice agents across airline, IT, and healthcare HR workflows.