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Data protection tools and solutions for data encryption, backup, classification, loss prevention, and privacy compliance.
Browse 557 data protection tools
Cross-cloud secrets & key mgmt with hardware-grade security and crypto-agility.
Validates cloud backups for ransomware and corruption across AWS and Azure.
Privacy-preserving query platform using FHE to query encrypted, siloed datasets.
Privacy-preserving data collaboration platform using HE, MPC, FL, and TEE.
Data governance & insider risk management platform for Google Workspace.
ML-based social media monitoring tool that detects sensitive data leaks in images/videos.
Cloud backup solution for Gmail, Drive, Contacts & Calendar in Google Workspace.
Hybrid BDR solution with continuous backups & near-instant server recovery.
DB security platform with monitoring, masking, firewall & compliance.
On-prem data tokenization, masking & encryption for air-gapped environments.
Unified data protection platform for hybrid on-prem and cloud environments.
Agentless data discovery & classification platform for PII, PHI, and PCI.
Cloud-native data tokenization, masking & encryption for AWS, Azure, and GCP.
Discovers sensitive PII/PHI/PCI data across on-prem, cloud, and shadow IT.
Data security platform offering tokenization, masking & encryption per data element.
Japanese cybersecurity firm offering web/email filtering & data loss prevention.
European data security platform for DLP, DSPM, and AI data protection.
Zero-trust, post-quantum secure connectivity for mission-critical environments.
Secure file exchange platform for internal users and external partners.
557 tools across 7 specializations · 24 free, 533 commercial
Backup as a Service
Cloud backup services and backup-as-a-service solutions for automated data backup, disaster recovery, and business continuity.
Data Classification
Data classification tools that automatically identify, categorize, and label sensitive data for compliance and security purposes.
Data Loss Prevention
Data Loss Prevention (DLP) solutions for preventing unauthorized data exfiltration, detecting data breaches, and enforcing data security policies.
Common questions about Data Protection tools, selection guides, pricing, and comparisons.
DLP (Data Loss Prevention) enforces policies to prevent sensitive data from leaving the organization through email, endpoints, or cloud services. DSPM (Data Security Posture Management) focuses on discovering where sensitive data exists across your environment, who has access, and whether it is properly secured. Think of DSPM as finding and classifying your data, and DLP as preventing it from leaking.
Data classification tools scan files, databases, and cloud storage to automatically identify and label sensitive data such as PII, PHI, financial records, and intellectual property. They use pattern matching, machine learning, and contextual analysis to categorize data by sensitivity level, then apply labels or tags that other security tools (DLP, access controls) can enforce.
GDPR compliance typically requires: data discovery and classification tools to know what personal data you hold, data privacy management for consent tracking and data subject access requests, DLP to prevent unauthorized data sharing, encryption for data at rest and in transit, and backup solutions for the right to data portability. A DSPM platform can provide unified visibility across these requirements.
Data Masking
Data masking and synthetic data generation tools for anonymizing sensitive data while preserving utility for testing and analytics.