Named Insights Glossary

The distance between knowing what an AI agent is doing and being able to stop it. Most organizations can monitor but cannot revoke in real time.

Organizations adopt AI faster while employees resist harder. Adoption metrics improve while workforce psychology deteriorates.

Progressive accuracy degradation as LLM context windows fill. Claude drops to 78% at 1M tokens — attention dilutes as context grows.

The compliance-cost threshold above which an accountability law stops reaching the entities it targets. When 75% can’t afford the audit, the law protects only those who least need policing.

Quick AI productivity wins manufacture a false signal of progress, preventing the structural reorganization that actual transformation requires.

AI errors wrapped in fabricated professional authority that suppress the instinct to verify. The tool cites a standard that doesn’t exist.

When a framework’s optimization step outlasts the infrastructure’s patience, converting benchmarks into cold start penalties. TensorRT-LLM: 28 minutes before the first token.

Total exposure from a single compromised AI pipeline: every API key, connection string, and cloud token reachable via one exploited endpoint.

The share of clinical AI agents operating with access to protected health information and zero security oversight.

Stryker assessed 8 device systems as safe. They assessed 0 logistics systems. 100% of communication addressed infrastructure the attack never touched.

Efficiency gains that reduce per-query cost increase total demand by more than the savings, because they unlock workloads that were previously infeasible.

Four tiers of AI in phishing: Tier 1 (AI-assisted writing), Tier 2 (polymorphic generation), Tier 3 (adaptive delivery), Tier 4 (autonomous campaigns).

Teams build AI apps fast, leadership celebrates, security discovers exposure months later, ban follows, competitor ships with governance, ban lifts with same gaps. The cycle resets.