Cyberhaven vs Strac: Data Loss Prevention Comparison (2026)
An independent side-by-side comparison of Cyberhaven and Strac 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.
Strac leads overall — 13% cited vs Cyberhaven 3% across 60 probes.
ChatGPT
Cyberhaven
0 / 6 probes
0%
InvisibleStrac
0 / 6 probes
0%
InvisiblePerplexity
Cyberhaven
0 / 6 probes
0%
InvisibleStrac
0 / 6 probes
0%
InvisibleGemini
Cyberhaven
1 / 6 probes
17%
AverageStracLeads
4 / 6 probes
67%
ExcellentClaude
Cyberhaven
0 / 6 probes
0%
InvisibleStrac
0 / 6 probes
0%
InvisibleCopilot
Cyberhaven
0 / 6 probes
0%
InvisibleStrac
0 / 6 probes
0%
InvisibleScale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
Cyberhaven
Feature data is being indexed.
Strac
- ✓Detects & remediates sensitive data
- ✓Discovers & classifies sensitive data
When to choose Cyberhaven
Choose Cyberhaven if your team prioritizes its strengths over Strac's. Full guidance populates as Cyberhaven's feature data is indexed.
When to choose Strac
Choose Strac if your team prioritizes its strengths over Cyberhaven's. Full guidance populates as Strac's feature data is indexed.