Best Data Security Software for Cloud

Data security is built into HERE Enterprise Browser, with enterprise-grade data loss prevention (DLP), encryption, and compliance controls. It prevents data leaks by blocking unauthorized sharing, downloads, and captures, while enforcing Zero Trust access policies. HERE secures both structured and unstructured data across cloud and internal systems, making it the ideal browser for preventing data breaches and ensuring regulatory compliance.

Easily and simply control your sensitive data in Snowflake today so you can get more value from it in minutes instead of months. With ALTR you can automatically discover and classify sensitive data with a checkbox on import. Add controls like data masking with a drop-down menu. Set alerts and limits on data access by user, amount, and IP address from a single screen. No on-prem hassles or added costs, no proxies to break with a platform change and no managed services disguised as SaaS. ALTR was born in the cloud and natively integrates with platforms like Snowflake. With ALTR’s complete data control, you can visualize data usage, detect anomalies and alert on them, block threats in real time, and tokenize critical data. Safeguarding all your data. Because ALTR is built for the cloud, there’s no large up-front commitment—you can start for free and only upgrade as needed.

Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making.