Protect sensitive data before sending to AI.

In protected flows, sensitive values are processed and masked in the browser before content is sent externally.

• Credentials, contact details, financial information, and access keys are replaced with placeholders when they are detected in protected requests.
• Only protected and safe content is sent to the AI platform.
• Original value mappings are stored locally in the browser, while Redecta may process account information and masking activity metadata to operate the service.
• In the reviewed masking activity reporting flow, original prompt content and original mappings are not included; that flow is not used for server-side content analysis.

It automatically detects and protects any information that should remain confidential before it reaches AI tools.

• It covers emails, phone numbers, identity details, access keys, passwords, banking details, and card data.
• Additional protection rules can be defined for company-specific confidential information.
• It works across technical content, messages, documents, and free-form text.

On supported flows, protected fields can be restored with their original values locally in the browser after the AI response is received.

• The AI processes secure placeholders instead of detected real values.
• After the response returns, Redecta can restore mapped values on the user side when the flow supports restoration.
• The user experience stays smooth while original mappings remain local to the browser.

Yes. Redecta is built for team and enterprise use cases.

• Separate protection policies can be defined for different departments.
• Security, legal, operations, and support teams can be managed with different policies.
• Rollout can expand gradually from a pilot group to the whole organization.
• A central admin panel and masking activity visibility are available for enterprise use.

Redecta supports browser-based use with ChatGPT, Gemini, Claude, Grok, and DeepSeek.

• ChatGPT request-level masking is implemented for supported browser flows.
• Gemini, Claude, Grok, and DeepSeek support should be understood as platform integration, not a guarantee of identical restoration behavior on every flow.
• It is designed to work with browser-based AI interfaces, with behavior depending on each platform's interface and supported flow.

First use can start in just a few minutes.

• Default protection rules are activated immediately once the browser extension is installed.
• Setup is extremely fast for individual use.
• For team deployments, policy and rollout settings are configured from the admin panel.

Yes. Beyond standard personal data, information unique to your organization can also be protected.

• Custom protection rules can be defined for customer IDs, project codes, and internal reference data.
• Protection can be tailored to confidential formats specific to your business processes.
• That means not only personal data but also business-critical information stays protected.

By masking personal data before protected requests reach external systems, it reduces compliance exposure and provides masking activity visibility.

• Because personal data is protected before transfer, the legal risk surface becomes smaller.
• It limits the processing scope and reduces compliance obligations.
• It systematically prevents policy violations and uncontrolled data sharing.
• It gives legal and compliance teams visibility into masking activity and policy-controlled AI usage.

We walk through the live product and a scenario tailored to your organization.

• You see the real-time protection flow and the types of data covered in practical business scenarios.
• We explain custom rule creation and department-based rollout strategies.
• We review enterprise deployment models and operational integration options.
• If needed, we can also evaluate fit based on your own workflows.