How to use agentic AI while protecting your data with Orchestrate

But innovation without control creates risk. For every insurer racing to experiment with LLMs, there’s an IT leader quietly dreading the next shadow IT tool a team might use without review. The concern is real: how do you harness the power of agentic AI without compromising proprietary data, violating privacy policies, or opening your organization to third-party risk?

In this post, we’ll walk through how we built Orchestrate to let insurance IT and security teams maintain control over their data without holding AI back from their teams.

Agentic AI Security Concerns for Insurers

Agentic AI introduces powerful new capabilities like autonomous workflows and multi-step reasoning. But it also introduces security questions insurers can’t afford to ignore:

• Data leakage and third-party exposure: LLM-based tools are a black box, and there’s no way to know what happens to data sent to them. When building AI workflows that interact with PII, regulated data, or trade secrets, IT teams need to be aware of exactly where data is going.
• Shadow IT adoption: Underwriters under pressure may turn to publicly available tools like ChatGPT, Gemini, or Claude without IT controls in place, increasing the risk of important data flowing to these tools.
• Model unpredictability: Agentic AI systems can make mistakes, so their outputs must be controlled to prevent unintended impacts to customers or business processes.

Orchestrate: Built for Control

Orchestrate was designed from the ground up for mission-critical insurance workflows, with control as the primary goal.

Security alerts 

When building a workflow, Orchestrate checks for the presence of steps that may raise security concerns. Before sending data to a model, Orchestrate flags these steps for you to review, so you can adjust the workflow to uphold your security requirements. 

System prompts

Every Orchestrate workflow is initiated with a structured system prompt that structures the output format to make the most efficient and effective requests of an LLM for a given task. This means you don't have to be a great prompt engineer yourself to minimize the data sent to an LLM and ensure the response from a model is most likely to produce the desired outcome. These prompts are automatically generated by Federato and are not user-editable, ensuring agents operate within compliant parameters.

You control exactly which data leaves the Federato environment

With Orchestrate, IT can use natural language prompting to start building an AI workflow, then define step-by-step how the workflow interacts with systems and where the output goes. IT teams can configure exactly:

• What data is accessible to the model
• What tools or API calls an agent can use
• Where output is delivered (e.g., not emailed externally, not written to unstructured logs)

This allows insurers to design bounded AI workflows that are observable, compliant with internal data rules, and only interact with an AI model you trust.

Satisfying AI needs = less uncontrolled AI

Underwriters competing for the best opportunities in today’s risk market are competing against other teams using AI, and they’re feeling the pressure. If AI capabilities aren’t delivered centrally by IT, underwriters will seek them out on their own, increasing the risk that sensitive data leaks out of the organization. 

Orchestrate is designed to let IT teams design and deliver their own AI workflows that satisfy the unique needs of their team. By giving IT a central, configurable place to fulfill AI feature requests, Orchestrate reduces the risk of business users sourcing tools on their own. Instead of 10 different SaaS subscriptions and disconnected workflows, Orchestrate provides a unified, trackable environment to meet demand. In doing so, they can equip their team with the capabilities they need to compete in the modern market, while controlling exactly how their data flows in and out of AI models.

Managing AI Risk While Unlocking Its Potential

Agentic AI has the power to transform underwriting, though the security risks are real. But insurers don’t have to choose between safety and speed. With Orchestrate, we’ve built a platform that gives IT full control over data flow, model access, and output destinations, and enables underwriters to benefit from AI without relying on unvetted tools.

As more insurers look to deploy GenAI in production workflows, we believe the real differentiator will be trust and safety, not just capability. Orchestrate was built with these principles in mind, and we’re excited to see what you build with it.

Ready to start deploying AI workflows securely? Get started today.