Identity, AI/ML, Cloud Security, Privileged access management

Delinea Expands Identity Security Platform to Govern AI at Enterprise Scale

Diversity identity and privacy concept and personal private data symbol as diverse finger prints or fingerprint icons and census population in a 3D illustration style.

The AI surge has flooded enterprise networks with unmanaged machine identities. Delinea’s latest platform enhancements streamline their discovery, governance, and control through a unified, cloud-native security approach. With its latest enhancements to the Machine and AI solution, Delinea is addressing this identity sprawl with a security-first approach that integrates governance, discovery, and access control into a single, cloud-native platform.

Centralized Security for AI Credentials and Infrastructure

Delinea’s approach to AI security goes beyond data protection—it focuses on managing the complex interactions between machines, models, and systems. New capabilities like Vault AI and Secure AI help enterprises take a centralized, policy-driven approach to managing AI credentials and entitlements. Vault AI automates access provisioning and password rotation for AI systems, aligning with enterprise-grade standards. Secure AI, meanwhile, applies fine-grained, least-privilege access to AI infrastructure, reducing the potential blast radius of a misconfiguration or breach and ensuring every machine identity is right-sized and auditable.

Shadow AI and Unmanaged Risk

But as AI adoption becomes more decentralized—across business units, teams, and cloud environments—visibility becomes just as critical as control. Delinea’s upcoming Discover AI capability, slated for preview in Q2 2025, aims to close that visibility gap. It enables IT and security teams to identify unauthorized or unmanaged AI deployments, including shadow AI and excess machine identities, giving them the insights needed to establish a usage baseline and intervene before risks materialize. This proactive stance is reinforced by AI-Driven Authorization (targeted for H2 2025), which uses agentic AI to make dynamic, context-aware access decisions across both human and machine users.

Compliance at the Core

Looking further ahead, the planned Identity AI feature reflects a growing enterprise demand for secure, compliant AI integrations. Rather than relying on third-party models that may introduce risk or data residency concerns, Identity AI will leverage a purpose-built, native LLM specifically designed for privileged identity tasks. This model will enable regulated organizations to integrate AI into their identity workflows without sacrificing control over sensitive data.

Taken together, these capabilities reflect a deliberate shift in how AI is being integrated and secured within enterprise environments. Rather than bolting on AI security after the fact, Delinea is embedding governance into the foundation of AI adoption. By giving organizations the tools to both secure AI and use AI to improve identity security, Delinea is helping enterprises scale responsibly—balancing innovation with the operational and compliance demands of modern IT landscapes.

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Suparna Chawla Bhasin

Suparna serves as Senior Managing Editor for CyberRisk Alliance’s Channel Brands, including MSSP Alert and ChannelE2E.  She plays a key role in content development, optimizing editorial workflows, aligning storytelling with audience needs, and collaborating across teams to deliver timely, high-impact content. Her background spans technology, media, and education, and she brings a unique blend of strategic thinking, creativity, and executional excellence to every project.

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