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AI agents can act.
Can you control them?

AI agents create a new enterprise control challenge

AI agents are moving from experimentation into execution. They call APIs and tools, access data, update records, trigger workflows, and interact with enterprise systems.

As autonomy grows, fragmented governance becomes a risk multiplier. Enterprises need a consistent way to govern agent behavior, secure agent interactions and maintain visibility into every critical action.

 

Meet TRICA - one control layer for agentic AI

TRICA is Nagarro’s enterprise agent control plane for scaling AI agents safely in production. It helps organizations establish that control without replacing their existing AI platforms, security tools, or observability investments.

TRICA brings runtime policy enforcement, security guardrails, human oversight, observability, audit evidence, and cost controls into one governed execution layer.

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Govern consistently

Apply policies across AI agents, models, APIs, tools, and platforms.

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Secure at runtime

Evaluate agent requests and tool interactions before executing sensitive actions.

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Capture decisions, tool calls, policy outcomes, approvals, usage, and costs for audit and investigation.

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Scale responsibly

Extend reusable controls, policies, and integrations across teams, business units, models, and tools.

Why TRICA?

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Fast-to-market

Assemble your agent control plane from proven open-source,  commercial, and enterprise tools already in place. No need to build from scratch.

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Vendor-neutral by design 

Works across clouds, AI models, applications, data platforms, tools, and legacy systems without creating new lock-in.

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Enterprise integrated

Connect agent governance with existing identity, security, observability, approval, and governance systems.

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Scale responsibly service-led delivery

Move from assessment to implementation with Nagarro’s support across consulting, architecture, integration, security, compliance, FinOps, managed operations, and reuseable control-plane assets.

How TRICA controls agent actions

Every agent action should pass through the controls that matter.
TIRCA is designed to sit in the agent execution path, applying controls before, during, and after critical agent actions. 

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Identity

Authenticate and identify who or what is acting


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Policy

Evaluate requests against enterprise policies before actions are executed

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Security

Apply input and output guardrails to reduce risks such as sensitive-data exposure, unsafe content, and prompt attacks.

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Compliance

Support compliant execution across regulated workflow and enterprise requirements

 

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Observability

Monitor agent activity, model interactions, tool calls, latency, and security events.

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Cost

Enforce budgets, usage limits, routing rules, and cost ownership.

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Audit

Record decisions, actions, approvals, and policy outcomes for investigation and audit evidence

Where TRICA can help

TRICA is especially relevant for agents that access sensitive data, update business records, trigger approvals, or operate in regulated environments.

Request a TRICA demo 

 

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Learn how an enterprise agent control plane can help govern agent actions across models, tools, APIs, and business workflows.

 

The demo can cover:

  • How agent requests are evaluated before actions are executed

  • How policies, approvals, and security guardrails can be applied at runtime

  • How model usage, tool calls, costs, and decisions can be traced

  • How TRICA can connect with existing identity, security, observability, and governance tools

  • How a readiness sprint can identify the first high-value use case for your organization

Start before your agents become unmanaged digital employeees!

Control your AI agents before the next breach

Request a TRICA demo