Code42 Incydr vs Zscaler DLP: Data Loss Prevention Comparison (2026)
Code42 Incydr and Zscaler DLP both offer Data Loss Prevention solutions with distinct approaches and feature sets. Code42 Incydr focuses on AI-driven threat detection, human risk management, and tailored protection, while Zscaler DLP emphasizes comprehensive platform offerings, secure internet access, and inline data security.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask data loss prevention questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
- ✓AI-driven threat detection
- ✓Enhanced data insights
- ✓Unified human risk management
- ✓Flexible, tailored protection
- ✓Proactive user risk management
- ✓Integrated, unified security
- ✓Reduce overhead, speed investigations
- ✓Fast ROI, minimal setup
- ✓Secure Internet Access (SWG)
- ✓Data Security (inline web, all apps)
- ✓Private Access (for all users)
- ✓Advanced Threat Protection
- ✓Zero Trust for Workloads
- ✓Inline data security
- ✓SaaS Security Advanced
- ✓Digital Experience Monitoring
When to choose Code42 Incydr
Code42 Incydr is suitable for organizations prioritizing AI-driven threat detection, enhanced data insights, and proactive user risk management. Its flexible and tailored protection, coupled with integrations like CrowdStrike, Palo Alto Networks Cortex XSOAR, and Splunk, may appeal to environments needing robust visibility and adaptive controls. However, organizations with limited dedicated resources or small teams might find its complexity challenging.
When to choose Zscaler DLP
Zscaler DLP is a fit for organizations looking for a comprehensive platform that includes Secure Internet Access (SWG), Private Access, and Advanced Threat Protection alongside DLP. Its inline data security and strong focus on securing web and all applications, including SaaS, offer a broad security posture. However, organizations that require extensive third-party integrations or those with limited technical expertise to navigate complex features might need to consider the learning curve.