Question: I'm looking for a solution that can detect and protect sensitive data in cloud applications, such as PII and PHI, with minimal false positives.

If you need something to find and protect sensitive data in cloud apps with low false positives, Nightfall is an AI-native data leak prevention platform that can do that and more, including protecting sensitive data, encrypting data and blocking data exfiltration. It handles more than 100 file types and major SaaS apps. Nightfall is designed to reduce risk and ensure compliance with HIPAA, PCI, GDPR/CCPA, ISO 27001, SOC 2 and SOX.

Another option is Varonis, an all-in-one SaaS app that automates data security. It can discover and classify data, detect threats and automate policies across many cloud and on-premises systems. Varonis supports Microsoft 365, Google Workspace, Salesforce, AWS and Azure, among other apps, and offers real-time visibility and proactive threat hunting so you can respond quickly to threats.

If you prefer a cloudier approach, Gamma uses AI to monitor and protect sensitive data in apps and devices. It classifies data with 99.5% accuracy and can be deployed with a single click across all apps, devices and users. Gamma integrates with popular collaboration and storage apps, protecting data with encryption and zero-trust access, and is compliant with major industry standards like SOC 2.

And then there's Rubrik, which offers data security across enterprise, cloud and SaaS apps. It automates data security, has advanced threat detection and monitoring, including anomaly detection and threat hunting. Rubrik can integrate with a variety of data sources and apps, offering a single data security system with massive recovery capacity.