Ranked list · Data Loss Prevention · 6 companies
Best Data Loss Prevention Software in 2026
When evaluating Data Loss Prevention (DLP) solutions, consider factors such as deployment, platform coverage, and integration capabilities. The top-ranked DLP vendors offer a range of features to protect sensitive data and ensure compliance.
Digital Guardian offers AWS-powered DLP security analytics and cross-platform coverage for Windows, macOS, and Linux, providing immediate visibility through intuitive dashboards.
- · Cited 13× by AI engines (last 90d, across 3 engines)
- · Key features: AWS-powered DLP security analytics, Cross-platform coverage for Windows, macOS, Linux, Intuitive dashboards for immediate visibility, Granular policies to reduce false positives
- · Strengths: Strong data protection capabilities; Real-time threat detection; Intuitive reporting and analytics
Code42 Incydr provides AI-driven threat detection and unified human risk management, with integrations including CrowdStrike, Palo Alto Networks Cortex XSOAR, and Splunk.
- · Cited 1× by AI engines (last 90d, across 1 engine)
- · Key features: AI-driven threat detection, Enhanced data insights, Unified human risk management, Flexible, tailored protection, Proactive user risk management
- · Integrates with: CrowdStrike, Palo Alto Networks Cortex XSOAR, Splunk
- · Strengths: Robust AI-powered visibility; Fast deployment with insights; Flexible, adaptive controls
Polymer offers multiple policies, policy customization, and unlimited entities & rules, with single tenancy hosting and activity monitoring for a starting price of $5/user/month/integration.
From $5/user/month/integration
- · Starting price: $5/user/month/integration
- · Key features: Multiple policies, Policy customization, Unlimited entities & rules, Single tenancy hosting, Standard processing
- · Integrates with: Integration with external systems
- · Strengths: Flexible pricing plans; Comprehensive feature set; Suitable for various use cases
Zscaler DLP offers Secure Internet Access (SWG), Data Security (inline web, all apps), and Private Access (for all users), with advanced threat protection and Zero Trust for Workloads.
- · Cited 4× by AI engines (last 90d, across 1 engine)
- · Key features: Secure Internet Access (SWG), Data Security (inline web, all apps), Private Access (for all users), Advanced Threat Protection, Zero Trust for Workloads
- · Strengths: Comprehensive platform offerings; Fast setup in minutes; Strong focus on data security
Strac detects and remediates sensitive data, and discovers and classifies sensitive data, with integrations including Slack, Google Workspace, Microsoft 365, ChatGPT, Claude, and Salesforce.
- · Cited 4× by AI engines (last 90d, across 1 engine)
- · Key features: Detects & remediates sensitive data, Discovers & classifies sensitive data
- · Integrates with: Slack, Google Workspace, Microsoft 365, ChatGPT, Claude
- · Strengths: Flexible pricing based on scope; Quick itemized quotes; Agentless deployment
Nightfall AI prevents sensitive data exposure and offers AI-powered data lineage tracking, with integrations for Slack, Google Drive, Gmail, GitHub, Atlassian Jira, and Microsoft 365.
- · Key features: Prevent sensitive data exposure, AI-powered data lineage tracking, Revoke data access misconfigurations, Automatically block or limit access
- · Integrates with: Slack, Google Drive, Gmail, GitHub, Atlassian Jira
- · Strengths: Comprehensive data protection; AI-driven insights and reporting; User-friendly setup and integrations
How we rank
Composite score, weighted across five public signals from each company's published releases:
- · Recency (25%) — exponential decay from the most recent release
- · Volume (20%) — releases published in the last 90 days
- · GEO score (25%) — average AI-optimization score
- · Citations (20%) — confirmed AI-engine citations
- · Entities (10%) — entity richness per release