Identify, Redact and/or Replace PII to Achieve Compliance and Safeguard Customer Trust

The Problem:

Storing Sensitive Data Makes Companies Vulnerable to (and Liable for) Data Breaches

Most organizations mindlessly collect absurd amounts of data across multiple systems, only to have it sit unused. But, with data breaches a constant threat, it’s not a matter of if but when they will happen, so how can companies fully protect their sensitive data? 

Many organizations make the mistake of assuming that locking data away in a vault is enough. However, putting all your trust in encryption and employee security policies is highly risky. Employee credentials are regularly compromised, and the attack surface of public and private cloud deployments is still quite large.

Enter Private AI:

Filter Out All Sensitive Data That Doesn’t Serve a Clear Purpose From the Start

Security-conscious businesses are using Private AI to remove all PII, PCI, and PHI that isn’t business critical before it ever lands on their servers. Our AI-powered solution can be easily deployed at data ingress and egress points to monitor for PII and filter out unwanted PII.

Private AI can also scan and remove PII from legacy databases so they no longer pose a security risk. For example, one Fortune 500 bank uses Private AI to remove all PCI from their call-center transcripts before they’re stored, to avoid legal liability for that data.

Achieve Regulatory Compliance

Private AI helps companies of all sizes comply with the growing patchwork of global privacy regulations including the General Data Protection Regulation (GDPR), The California Privacy Rights Act (CPRA), Health Insurance Portability and Accountability Act (HIPAA), Brazil’s General Data Protection Law (LGPD), and Payment Card Industry Data Security Standard (PCI DSS).

Why Private AI

Unrivalled Accuracy

Private AI uses the latest advancements in machine learning to achieve remarkable accuracy out of the box. See how we stack up against our competitors in our technical whitepaper

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Ready to get started? Talk to one of our privacy experts today:

Private AI’s de-identification solution was extremely easy to integrate with our current pipeline, requiring only a few lines of code to ensure GDPR-compliant data handling for our users’ sensitive information. As a data anonymizer it was accurate and highly performant, allowing us to offer superior privacy protection without affecting our rates of service. Importantly, it enabled us to meet the rigorous data privacy requirements of the financial services sector without having to break the bank.

Damian Tran
CTO, Minerva AI

99.5%+ Accuracy

Number quoted is the number of PII words missed as a fraction of total number of words. Computed on a 268 thousand word internal test dataset, comprising data from over 50 different sources, including web scrapes, emails and ASR transcripts.

Please contact us for a copy of the code used to compute these metrics, try it yourself here, or download our whitepaper.


Tested on a dataset composed of messy conversational data containing sensitive health information. Download our whitepaper for further details, as well as how we perform on precision and F1-score or contact us to get a copy of the evaluation code.


Testé sur un ensemble de données composé de données conversationnelles désordonnées contenant des informations de santé sensibles. Téléchargez notre livre blanc pour plus de détails, ainsi que nos performances en termes d’exactitude et de score F1, ou contactez-nous pour obtenir une copie du code d’évaluation.