Thiligence Labs Private Limited

Identity and Intelligence for Every Entity

Thiligence helps enterprises establish trusted identity, intelligent governance and secure execution for humans, applications, workloads, AI agents, devices and autonomous systems.

Trusted identity. Governed authority. Accountable execution.A common trust foundation for people, software, AI agents, devices and autonomous systems.

The shift

The enterprise identity boundary is expanding

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

One trust foundation across people, software and machines

Thiligence brings identity, intelligence, governance and secure execution together so enterprises can adopt autonomous systems without losing visibility, control or trust.

Universal Identity

Establish trusted identity for people, applications, workloads, services, APIs, devices and autonomous systems.

Agent Identity

Give AI agents verifiable identity, scoped authority and accountable access to enterprise resources.

Identity Governance

Define who or what may act, under which conditions, and with what level of oversight.

Entity Intelligence

Enrich identity decisions with context, relationships, behavior and risk signals.

Secure Execution

Support autonomous workloads with controlled environments, policy boundaries and auditability.

Enterprise Trust

Apply consistent trust, policy and accountability across applications, services, devices and agents.

Entity coverage

Designed for every enterprise actor

Thiligence is designed for an environment in which people, software and machines increasingly collaborate through shared systems and sensitive data.

People
Applications
APIs
Services
Workloads
AI agents
Devices
Industrial systems
Connected vehicles
Autonomous systems

Secure execution

Give agents freedom to operate within enterprise-defined boundaries

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.

Controlled autonomous 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

Built for accountable automation

Govern enterprise AI agents

Control which systems agents may access, what actions they may perform and when human approval is required.

Secure machine-to-machine access

Bring services, workloads, APIs and devices into a consistent identity and policy model.

Extend IAM beyond human users

Manage non-human and autonomous entities without forcing them into human-centric assumptions.

Build accountable automation

Associate autonomous actions with identity, authority, context and a durable record of execution.

Trust principles

Enterprise responsibility, not vague AI promises

  • Security and accountability are foundational design requirements.
  • Every action should be tied to a trusted entity and explicit authority.
  • Autonomy must remain observable, governable and accountable.
  • Identity systems must support humans, software, machines and autonomous systems.
  • Claims and security assurances must remain precise and defensible.

Next step

Build a trusted foundation for autonomous enterprise systems