Universal Identity
Establish trusted identity for people, applications, workloads, services, APIs, devices and autonomous systems.
Thiligence Labs Private Limited
Thiligence helps enterprises establish trusted identity, intelligent governance and secure execution for humans, applications, workloads, AI agents, devices and autonomous systems.
The shift
Enterprise identity was once centered on employees and applications. Today, organizations must also govern APIs, workloads, devices, AI agents, autonomous systems and connected machines.
These entities act continuously, make decisions and interact with sensitive systems. They require trusted identity, controlled authority and accountable execution.
Platform
Thiligence brings identity, intelligence, governance and secure execution together so enterprises can adopt autonomous systems without losing visibility, control or trust.
Establish trusted identity for people, applications, workloads, services, APIs, devices and autonomous systems.
Give AI agents verifiable identity, scoped authority and accountable access to enterprise resources.
Define who or what may act, under which conditions, and with what level of oversight.
Enrich identity decisions with context, relationships, behavior and risk signals.
Support autonomous workloads with controlled environments, policy boundaries and auditability.
Apply consistent trust, policy and accountability across applications, services, devices and agents.
Entity coverage
Thiligence is designed for an environment in which people, software and machines increasingly collaborate through shared systems and sensitive data.
Secure execution
AI agents often require access to tools, data, applications and external services. Thiligence is building secure execution capabilities that help organizations isolate autonomous workloads, govern access, apply policy and maintain accountability throughout execution.
Autonomous software should operate with explicit boundaries, governed access and a clear record of action. Secure execution is part of the trust model, not an afterthought.
Use cases
Control which systems agents may access, what actions they may perform and when human approval is required.
Bring services, workloads, APIs and devices into a consistent identity and policy model.
Manage non-human and autonomous entities without forcing them into human-centric assumptions.
Associate autonomous actions with identity, authority, context and a durable record of execution.
Trust principles
Next step