Netskope DLP vs Code42 Incydr: Data Loss Prevention Comparison (2026)
An independent side-by-side comparison of Netskope DLP and Code42 Incydr for data loss prevention buyers — pricing, features, integrations, and how often each is cited by major AI engines.
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.
Netskope DLP leads overall — 33% cited vs Code42 Incydr 3% across 60 probes.
ChatGPT
Netskope DLPLeads
4 / 6 probes
67%
ExcellentCode42 Incydr
0 / 6 probes
0%
InvisiblePerplexity
Netskope DLP
1 / 6 probes
17%
AverageCode42 Incydr
1 / 6 probes
17%
AverageGemini
Netskope DLP
0 / 6 probes
0%
InvisibleCode42 Incydr
0 / 6 probes
0%
InvisibleClaude
Netskope DLPLeads
4 / 6 probes
67%
ExcellentCode42 Incydr
0 / 6 probes
0%
InvisibleCopilot
Netskope DLPLeads
1 / 6 probes
17%
AverageCode42 Incydr
0 / 6 probes
0%
InvisibleScale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
Netskope DLP
Feature data is being indexed.
Code42 Incydr
- ✓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
When to choose Netskope DLP
Choose Netskope DLP if your team prioritizes its strengths over Code42 Incydr's. Full guidance populates as Netskope DLP's feature data is indexed.
When to choose Code42 Incydr
Choose Code42 Incydr if your team prioritizes its strengths over Netskope DLP's. Full guidance populates as Code42 Incydr's feature data is indexed.