Akeyless joins VAST Cosmos with validated AI security integration

Akeyless joined the VAST Cosmos Community as a Technology Partner and announced a validated integration between the Akeyless Identity Security Platform and the VAST Artificial Intelligence (AI) Operating System (OS), enabling Zero-Knowledge Encryption (ZKE) and secrets management for high-performance AI workloads.

The release described the VAST Cosmos Community as a global community of developers, builders and experts in AI solutions; Akeyless collaborated with VAST Data to help customers secure production AI infrastructure, reduce integration risk and accelerate secure AI deployment from the data path to the application layer.

The companies said the validated integration delivered zero-knowledge secrets and encryption management aligned with VAST's Disaggregated, Shared-Everything (DASE) architecture. Native KMIP-based key management and stateless, distributed gateways allowed encryption and identity controls to operate alongside compute and data infrastructure while preserving performance under sustained AI workloads.

The release noted Akeyless paired its Distributed Fragments Cryptography™ (DFC) with VAST's unified data platform services to address high-concurrency AI workloads and to eliminate centralized vault bottlenecks. “Enterprises are looking for a simpler, more consistent way to deploy production AI backed by validated integrations they can trust,” said John Multi-Agent Orchestrator (MAO), Vice President, Global Technology Alliances at VAST Data.

“AI infrastructure must be both high-performance and secure by design,” said Oded Hareven, Co-Founder and CEO of Akeyless. “By aligning our zero-knowledge identity security platform with the VAST AI Operating System, we enable organizations to protect encryption keys, secrets, and machine identities without introducing latency or operational bottlenecks. Customers can operationalize AI with confidence, knowing security scales alongside performance.”

These capabilities are already supporting demanding AI environments across enterprise deployments operating at production scale.