Shadow IT
AssessTechniques
Technology use or application development outside official governance and controls.
Why it's here
Placed in Assess: 3 article(s) of evidence from 3 source(s), led by product launches, with 0 in the last 30 days. Confidence 51%.
Evidence (3)
- 6Martin Fowler·7/21/2026researchThoughtworks Retreat Notes Highlight AI Coding Risks and Modernization
Martin Fowler summarizes findings from Thoughtworks' Future of Software Development Retreat, where key themes included verification becoming more important than code generation, the rise of harness engineering, and an apprenticeship crisis in organizations. The post also warns that LLM-assisted vibe coding can create security, governance, and shadow IT risks, especially when executives overestimate productivity gains and underappreciate context and controls.
- 6The New Stack·7/2/2026framework_updateWhy CI/CD Gates Fail for LLM Pipelines
The article argues that traditional CI/CD gates are insufficient for production LLM systems because model behavior is probabilistic and can drift without triggering hard failures. It proposes release gates based on baseline evaluations, drift detection, shadow validation, and cost/latency guardrails to catch silent regressions before users see them.
- 8Hugging Face Blog·6/24/2026product_launchFFASR Leaderboard launches for real-world ASR benchmarking
Treble Technologies and Hugging Face have launched the FFASR Leaderboard, an open benchmark for evaluating automatic speech recognition in far-field acoustic conditions. The benchmark uses simulated rooms validated against real measurements and compares model accuracy and speed across realistic noise and reverberation settings.