Singapore – SailPoint, Inc. has announced ‘Agentic Fabric’, a platform designed to help organisations manage security risks linked to AI agents and other non-human digital identities operating across enterprise systems.
As businesses increasingly introduce autonomous AI tools across cloud services, applications and connected devices, the number of machine-based identities with access to corporate systems continues to rise.
Unlike conventional employee accounts, these systems can operate automatically and at high speed, which may create challenges around accountability, oversight and access management.
Many organisations face difficulties in identifying which AI agents are active, what systems they can access and who is responsible for their use. SailPoint’s Agentic Fabric has been developed to address these issues by extending identity governance beyond human users to include software agents, machines and applications.
“AI agents are transforming how work gets done, but they’re also introducing a new class of identity risk that most organisations aren’t prepared for,” Matt Mills, President at SailPoint, shared.
“You cannot secure what you cannot see, or what you cannot tie back to accountability. Agentic Fabric gives organisations the visibility, control, and context to keep autonomous agents secure, accountable, and connected to a human owner.”
The new platform works alongside its existing Identity Security Cloud platform, which focuses on managing human identities. The combined approach is intended to provide a single framework for overseeing access permissions and activity across both human and non-human users.
Additionally, Agentic Fabric is designed to support the discovery of AI agents, machine identities and applications across major cloud environments, endpoints and software systems. It also aims to map relationships between those identities and sensitive data or critical infrastructure.
For reassurance, organisations would be able to assign ownership of AI agents to responsible individuals, apply lifecycle controls and enforce access policies. The system also includes real-time authorisation controls, threat detection capabilities and automated responses intended to help maintain minimum necessary access levels.
The launch reflects growing industry attention on governance and security challenges associated with the broader adoption of AI-driven automation in enterprise environments.
