VAST Data, the AI data platform company, is announcing that its latest update to the VAST Data Platform makes it the first and only solution on the market to unify vector search, event-driven automation, and fine-grained security within a single, high-performance data platform, according to the company. By unifying structured and unstructured data, into a single DataSpace that scales linearly to hyperscale, enterprises are afforded a comprehensive system for effectively supporting and scaling their AI initiatives.
This update empowers enterprises with the necessary, interconnected framework to scale proprietary AI deployments in a time where AI’s complex demands are only increasing. While AI models necessitate ultra-fast vectorized search and retrieval, massive computational power, and well-integrated data pipelines, many organizations struggle to keep up. Compounding these requirements is a need for holistic security and governance, further complicating AI deployment.
“As AI adoption accelerates, organizations need solutions that enable real-time, efficient, and secure data retrieval for generative AI, search, and automation. Traditionally, enterprises have been forced to stitch together disparate systems—vector databases, event-driven processing engines, and security layers—creating complexity, latency, and inefficiencies,” explained Aaron Chaisson, VP, product and solutions marketing, VAST Data. “By unifying these capabilities within a single platform, VAST is eliminating these roadblocks, ensuring that organizations can seamlessly scale their AI-driven workloads without performance trade-offs or security risks.”
The VAST Data Platform, by centralizing a variety of AI prerequisites in a single place, rivals traditional vector databases that typically must make various—and detrimental—system sacrifices, noted Chaisson. The latest iteration of the platform fundamentally transforms how enterprises deploy AI, helping to accelerate AI model response, power seamless, real-time decision-making, all with robust data security and governance that doesn’t trade off speed or accessibility.
The newly updated VAST Data Platform consists of three main components:
- Trillion-vector scale search and retrieval, enabling enterprises to search large vector spaces in constant time. This makes it possible—and practical—to index all data and make it available to agentic workflows at any scale. Paired with AI-powered similarity search for real-time analytics and discovery, enterprises can transform real-time data into AI-driven decisions by automatically embedding vectors for search and retrieval.
“Many solutions require users to choose between accuracy and speed or rely on hierarchical indexing structures that degrade as datasets grow,” explained Chaisson. “By delivering constant-time search at trillion-vector scale, the VAST Data Platform eliminates the need for costly pre-filtering or approximation techniques, making AI-driven insights instantly accessible to enterprises dealing with massive and dynamic datasets.”
- Serverless triggers and functions within the VAST DataEngine that enables organizations to construct real-time workflows without needing background ETL or scanning to connect generative AI (GenAI) and source data. This helps reduce complexity and operational overhead, as well as reduce barriers for real-time retrieval-augmented generation (RAG), by enabling AI-driven workflows to be triggered the moment data is created or modified. Enterprises can accelerate AI and analytics with high-speed queries, serverless processing, and automated pipelines that securely ingest, process, and retrieve all enterprise data (files, objects, tables, and streams) in real time, according to VAST Data.
- Fine-grained access control and AI-ready security through VAST’s built-in enterprise-grade security context, which now offers advanced row- and column-level permission. This ensures that analytics and AI workloads are compliant and well-governed, all while unifying permissions for raw data and vector representations.
“VAST Data is eliminating the AI infrastructure bottlenecks that have slowed enterprise AI adoption. This isn’t just an incremental improvement—it’s a fundamental rethinking of AI data infrastructure, allowing enterprises to move beyond slow, disjointed architectures to a fully AI-ready data platform,” Chaisson concluded.
To learn more about the VAST Data Platform, please visit https://www.vastdata.com/.