Learn how Protecto's customers have reduced their data privacy risks

Learn how a leading SaaS company achieved 90% cost reduction in data masking while protecting sensitive PII/PHI across 13M daily texts to power their AI innovation.

Discover how Protecto's secure AI-powered solution helped a leading insurer reduce medical overbilling by $10 million annually while ensuring full PHI data protection compliance. Learn more!

A leading health analytics company successfully created a secure data product that processes sensitive healthcare data while ensuring complete HIPAA compliance and data privacy using Protecto.

Protecto's solution had a proven track record of accurately detecting a wide range of sensitive data types, including nuanced and industry-specific information." - RPA Company Leadership

Discover how Protecto’s secRAG enables secure and efficient contract review using generative AI.

Protecto saved several months of work that the privacy team would have spent in analyzing and discovering data protection (potential GDPR) issues across one million files and tables. Our platform identified sensitive data.

Finding data security and privacy risks in an enterprise is complex, time-consuming work. Our platform applies AI, data analysis, and privacy engineering to automate complex steps.

Leverage LLMs while protecting sensitive data with Protecto’s SecRAG. Protecto ensures security, compliance, and privacy when processing sensitive data with LLMs

Struggling to integrate AI without compromising patient privacy? Discover how Protecto SecRAG empowers secure innovation in healthcare insurance

Discover PII and reduce millions of dollars in privacy risks

Protecto’s solution helped a multinational telecommunication company comply with data protection regulations

Protecto provides unprecedented visibility into billions of rows of data with security & risk management controls, and granular visibility at individual user and database table levels.

Our solution helped a Silicon Valley consumer technology company with over 100M users. They were expecting to find ~20 data tables, but our solution found 5700 tables across their data lake.

Moving large volumes of data from data warehouses to a data lake is usually a gnarly process. So the CISO opts to migrate data to a safe, and private storage and reduce the risk of data breaches and theft.