Best Data Security Software for Linux

GitGuardian is a code security platform that provides solutions for DevOps generation. A leader in the market of secrets detection and remediation, its solutions are already used by hundreds of thousands of developers. GitGuardian helps developers, cloud operation, security, and compliance professionals secure software development and define and enforce policies consistently and globally across all systems. GitGuardian solutions monitor public and private repositories in real-time, detect secrets, sensitive files, IaC misconfigurations, and alert to allow investigation and quick remediation. Additionally, GitGuardian's Honeytoken module exposes decoy resources like AWS credentials, increasing the odds of catching intrusion in the software delivery pipeline. GitGuardian is trusted by leading companies, including 66 degrees, Snowflake, Orange, Iress, Maven Wave, DataDog, and PayFit. Used by more than 300K developers, it ranks #1 in the security category on GitHub Marketplace.

Asigra helps IT teams increase their data recovery confidence through our unsurpassed reliability, security, manageability, and affordability in data protection software. Asigra's Enterprise Backup and Disaster Recovery (BDR) software platform was designed for Managed Service Providers (MSPs) to host and operate their own Backup as a Service solution. The easy to manage platform offers users the ability to white-label it to match your brand, while its breakthrough Hybrid Cloud Backup architecture combines a Cloud optimized scale-out architecture, a Cloud backup and recovery software platform, and a Cloud API and management system to help IT Teams seamlessly and efficiently manage, scale and deliver data protection services.

Data Rover is an Advanced User Data and Security Management for any Data-Driven Organisation. A single solution for Infrastructure and Security managers that allows data users to explore, manage, process, and protect their data effectively and efficiently, by simultaneously addressing the two primary needs related to the use of data: Cyber Security and Data Management. Data Rover plays a key role in business asset protection and corporate data management policy definition. Data Analytics Check for security flaws and eliminate issues. Simplify the management of permissions. File Auditor It gives you the proof that something was done. Right or Wrong it's not important - JUST the FACTS. Dark Data Makes work faster and safer by optimising the storage resources usage and reducing costs. Involve the users in data management so they can contribute in keeping the storage systems clean and efficient. Advanced Data Exchange Share business data in/out of the company SAFELY.

BigID is data visibility and control for all types of data, everywhere. Reimagine data management for privacy, security, and governance across your entire data landscape. With BigID, you can automatically discover and manage personal and sensitive data – and take action for privacy, protection, and perspective. BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores. 2

MIND is the first-ever data security platform that puts data loss prevention (DLP) and insider risk management (IRM) programs on autopilot, so you can automatically identify, detect, and prevent data leaks at machine speed. Continuously find your sensitive data in files spread across your IT environments whether at rest, in motion, or in use. MIND continuously exposes blindspots of sensitive data across your IT environments including SaaS, AI apps, endpoints, on-premise file shares, and emails. MIND monitors and analyzes billions of data security events in real time, enriches each incident with context, and remediates autonomously. MIND automatically blocks sensitive data in real-time from escaping your control, or collaborates with users to remediate risks and educate on your policies. MIND continuously exposes blindspots of sensitive data at rest, in motion, and in use by integrating with data sources across your IT workloads, e.g. SaaS, AI apps, on-premises, endpoints, and emails.