If you need a system to help health care organizations spot and prevent patient privacy violations, Protenus is a top pick. It uses artificial intelligence to spot privacy violations and drug diversion, and thus lower reputational and financial risk. The system can handle the full range of patient privacy protection, auditing up to 100% of system access and medication use transactions. It's designed to be easy to use and customizable, and is "Best in KLAS" for Patient Privacy Monitoring and Drug Diversion Monitoring.
Another powerful option is Privado, an information retrieval system that offers end-to-end visibility into the data lifecycle and continuous privacy governance. It links the dots between privacy and engineering by providing real-time discovery of personal data use, tracing data flows to third parties and automatically generating RoPA reports. The system can help prevent unauthorized privacy breaches and non-compliance fines, and ensure GDPR compliance by automating privacy governance and enforcement.
For organizations that need end-to-end insider risk and data protection, Next DLP offers a Reveal platform that blocks data exfiltration and flags risky behavior. It covers data loss prevention on managed and unmanaged endpoints, mobile devices and cloud applications, using machine learning and AI to spot potential problems. The platform is particularly well-suited for health care, with real-time employee coaching and fast investigation response.
Last, Ethyca automates up to 90% of complex data privacy requirements, making it easier to comply with global privacy regulations like GDPR and CCPA. It offers global consent compliance with automated scanning, detection and mapping; automated privacy requests; and real-time data mapping. The platform is well suited for health care organizations that want to minimize the manual work for legal and engineering teams, ensuring end-to-end data privacy compliance.