Company's Solutions

Tego AI is an agent-native security platform built for the enterprise adoption of agentic AI, including AI agents, copilots, AI workflows, and autonomous AI workloads connected to corporate data, tools, and systems.
Tego redefines how autonomous AI systems interact with enterprise resources.
While traditional IAM, NHI, and PAM tools struggle with the unpredictability of AI, Tego provides purpose & intent-aware access control.
By evaluating the what, the why, and the context of every request in real time, Tego ensures that adaptive AI remains secure without stifling its autonomy.

We deliver three core capabilities: Watch, Guard, Defend. We provide full visibility into all agentic AI deployments, continuous real-time monitoring of AI behavior and access requests, and active enforcement of least-privilege, task-scoped permissions across data sources, APIs, and enterprise systems.
By granting agents only the exact access required for a specific task, and revoking it automatically once the task is complete, Tego dramatically reduces the AI attack surface, prevents unauthorized data exposure, and limits the blast radius of mistakes or compromises.

The platform is framework-agnostic and works across major AI ecosystems, including copilots, internal AI agents, orchestration frameworks, and custom AI applications connected to sensitive enterprise environments.
Tego enables security teams to safely adopt agentic AI at scale, without slowing innovation or requiring changes to existing AI applications and workflows.

Prominent Case Study

A large enterprise began deploying multiple AI agents, workloads and copilots across engineering, customer support, sales and other operations.
These systems required access to internal knowledge bases, ticketing platforms, and customer data.
Security teams quickly realized that existing IAM policies were too coarse and granted agents broad, persistent access to sensitive systems, creating significant over-privilege and visibility gaps.

Using Tego, the organization gained immediate visibility into all agentic AI deployments and their real runtime behavior.
Tego mapped each agent’s purpose, evaluated its intent at every access request, and enforced just-in-time, least-privilege permissions aligned to the specific task being executed.

As a result, the company reduced excessive AI permissions, prevented unnecessary exposure to unrelated sensitive data sources, and established real-time oversight over autonomous AI activity across departments.
This allowed the security team to confidently support enterprise-wide agentic AI adoption while maintaining strict access governance and dramatically lowering the potential attack surface