Polygraf AI

Founded 2023

Inspect and control large language model inputs and outputs to prevent data leaks

You can use Polygraf AI to secure data flowing in and out of large language models across your organization. It monitors prompts and responses in real time to prevent sensitive data leaks, prompt injection attacks, and unauthorized model interactions. The system automatically redacts personally identifiable information before sending requests to external models, then restores the original data in responses. It also flags deepfake audio, blocks risky file uploads, and tracks shadow usage across work tools like Slack and email to maintain compliance.

What Polygraf AI does

Mask sensitive personal information in promptsInspect model responses for toxic or biased textTrack and log AI usage metrics across departmentsBlock unauthorized file transfers to external storage servicesVerify formatting and syntax of model-generated JSON structuresMonitor internal chat rooms for accidental credential sharingAutomatically redact PII from prompts before sending to external modelsDetect and block prompt injection attacks in real timeIdentify synthetic deepfake voices during live calls and meetingsDiscover shadow usage of unapproved AI applications across employeesEnforce custom data sharing policies for separate company departmentsScan outgoing emails and Slack messages for confidential data leaksValidate model outputs for bias, toxicity, and copyright infringement