VAST Data Launches PolicyEngine And TuningEngine
At VAST Forward 2026, VAST Data unveiled PolicyEngine and TuningEngine, two services for its AI Operating System to govern agentic activity and automate model tuning and reinforcement-learning workflows. PolicyEngine enforces fine-grained permissions, tamper-proof logs and inline governance, while TuningEngine automates LoRA, supervised fine-tuning and RL, integrates with NVIDIA NeMo Data Designer for Nemotron models, and both services are expected by the end of 2026.
Key Points
- 1Introduces PolicyEngine and TuningEngine to govern agents and automate continuous model tuning
- 2Provides inline governance, tamper-proof logs and fine-grained permissions to reduce data leakage risks
- 3Enables closed learning loops, LoRA/SFT/RL workflows and NVIDIA Nemotron integration for deployable improvements
Scoring Rationale
Official product launch adds practical governance and tuning for agentic AI, but impact is confined to VAST's platform ecosystem.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
