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Sensitive Information Detection Benchmark Polygraf AI

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Sensitive Information Detection Benchmark | Polygraf AI vs AWS, Azure & Google

Polygraf AI sets the benchmark for Sensitive Data protection, delivering maximum detection accuracy across PII, PHI and PCI data types and 70 percent fewer false positives than leading cloud tools like Amazon Comprehend, Microsoft Azure Information Protection, and Google Cloud DLP. In a real-world dataset of 3 million documents spanning 27 PII types (and several more sub-types), Polygraf achieved a 0.91 F1‑score (out-scoring others by up to 3x) and detected every data type in the set - coverage its closest competitor missed by 6 categories.

Download the 2-page summary to see all the numbers and our methodology.

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The Rise of Small Language Models

Enterprise AI has entered a more pragmatic phase. CFOs are questioning initiatives they can’t cost-control or risk-model, while CISOs are blocking LLM deployments that require sensitive data to leave the

Case Studies

Polygraf Bluebird AI Humanizer Case Study

Summary:
Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability. Printers and scanners pose significant risks,

To learn more about Polygraf, please get in touch.

At Polygraf, we envision a future where AI augments human capabilities without compromising safety, privacy, or ethical standards. Trust in our commitment to building this future with you.

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