SECURE AI ADOPTION

Protect Sensitive Data Without Breaking Your AI

ALTR’s AI Data Shield protects sensitive information across AI applications, agents, and copilots without sacrificing personalization, tool functionality, or business utility.

ADVANCED DATA PROTECTION ACROSS Chatbots AI Agents Tool Calls Memories Transcripts

THE CHALLENGE

AI Moves Data. Security Must Follow.

A customer shares an account number with a support agent. An employee gives a copilot confidential information. An AI application passes customer data to another tool. The interaction ends. The data journey doesn’t. AI can move sensitive information across models, tools, transcripts, and memories, taking data beyond traditional environments and the protections built around them.

Sensitive Data Travels Further

One interaction can move sensitive information through messages, models, tools, transcripts, memories, and downstream data stores.

Removing Data Can Break the Experience

Strip everything sensitive and account matching, tool calls, personalization, deletion requests, and human escalations can stop working properly.

AI Is Moving Faster Than Data Security

Open-ended inputs, unfamiliar architectures, and pressure to launch make consistent sensitive-data protection significantly harder to maintain.

THE SOLUTION

Don't Just Protect the Prompt. Protect the Data.

Find Sensitive Data Across AI

Identify sensitive information within AI prompts and responses so the right protections can be applied immediately.

Protect Data Without Losing Utility

Replace sensitive values with secure tokens* while keeping authorized AI applications and workflows functional.

Mask What Doesn’t Need to Be Seen

Mask sensitive information when users or applications don’t need access to the underlying value.

Turn Policy Into Protection

Define which sensitive information is tokenized, masked, or left unchanged based on your security policies.

Control Access to Original Values

Determine whether tokenized data can be restored, masked, or withheld when the original value is requested.

Prove How Data Was Protected

Maintain an audit trail of protection and restoration activity, including outcomes and the policies behind each decision.

*What we mean by tokens: ALTR replaces sensitive values with secure substitutes—not AI/LLM tokens—so applications can work with protected data without exposing the original value.

THE OUTCOME

Secure AI Without Sacrificing What Makes It Useful

Address sensitive-data concerns earlier so security doesn’t become the blocker between experimentation and production.

Limit unnecessary exposure as sensitive information moves across increasingly complex AI applications, systems, and workflows.

Maintain the context, personalization, tool interactions, and human workflows your AI applications need to deliver value.

Apply established data protection principles to AI instead of creating an entirely separate security model for sensitive information.

READY TO GET STARTED

Put Sensitive Data Protection at the Center of AI

Your AI strategy is moving fast. The protection of sensitive data needs to move with it.