VAST Data announced two new computing services, the VAST Data PolicyEngine and VAST Data TuningEngine, at the VAST Forward 2026 event in Salt Lake City on February 25, 2026. These innovations are designed to enhance the VAST AI Operating System, enabling organizations to effectively scale their mission-critical AI initiatives.
The PolicyEngine and TuningEngine work together within the VAST DataEngine, facilitating the creation of AI systems that are trusted, explainable, and capable of continuous learning. The PolicyEngine manages agentic activity, while the TuningEngine oversees model tuning, ensuring that AI systems maintain alignment with organizational goals through automatic learning loops.
According to Jeff Denworth, Co-Founder at VAST Data, “Just as people are always learning, so should tomorrow’s applications.” He emphasized that these new tools transform the VAST AI Operating System into a “thinking machine” capable of safeguarding interactions and learning from outcomes across various deployment environments.
The introduction of the VAST Data PolicyEngine addresses critical concerns about data access and security in AI workflows. As AI agents increasingly interact with organizational data to generate responses and communicate, the risk of data spillage and leakage escalates without stringent access controls. The PolicyEngine serves as an inline policy enforcement mechanism, providing fine-grained permissions for agents accessing shared memory, external tools, and knowledge bases. This ensures that actions are verified prior to execution, maintaining a zero-trust posture that bolsters observability, explainability, and auditability.
The VAST Data TuningEngine complements the PolicyEngine by facilitating real-time model enhancements. The TuningEngine captures outcomes from agentic workflows and employs curated feedback to refine model performance over time. Utilizing techniques such as LoRA fine-tuning and reinforcement learning, the TuningEngine’s pipelines ingest and process data to suggest new candidate models. Each candidate model can be benchmarked and deployed, initiating a new learning loop that leverages future interactions to improve the updated model’s performance.
This latest development marks a significant advancement toward VAST Data’s vision of an evolved AI system, one that autonomously adapts based on interactions with real-world data. Since its inception in 2016, VAST Data has been focused on creating such a system, with a comprehensive vision first articulated in 2023. With the unveiling of PolicyEngine and TuningEngine, VAST AI OS establishes a closed operational loop that observes, reasons, acts, evaluates, and enhances itself. This unification of activities within a single system not only fortifies security but also enhances explainability.
The VAST PolicyEngine and TuningEngine are expected to be released by the end of 2026, further solidifying VAST Data’s position as a leader in the AI Operating System market.
VAST Data specializes in delivering a unified software infrastructure stack tailored to unlock the full potential of intelligent systems. The company’s AI Operating System consolidates foundational data, compute services, and agentic execution into a scalable platform, facilitating communication between AI agents, reasoning over real-time data, and automating complex workflows on a global scale. Built on the innovative DASE architecture, VAST Data aims to eliminate performance and scalability trade-offs, transforming modern infrastructure into a robust framework for reasoning AI. For more information, visit vastdata.com.
CONTACT: Austin Weedfall
VAST Data
[email protected]
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