Feature Comparison
As of February 2026
Nightfall, SaaS DLP Vendors
Tracks the full lifecycle of data, including origin, interactions, modifications, and derivative works.
Most other vendors weren’t built with data lineage in mind. Even when they do offer lineage capabilities, they often lack the depth, breadth, and maturity needed to deliver meaningful security outcomes.
Cyberhaven provides a holistic approach to data classification by combining proven traditional approaches (regex, dictionaries, EDM, OCR) with AI and data lineage that results in greater speed and accuracy.
SaaS DLP vendors lead with AI classification but lack the depth in traditional methods which results in an approach that does not provide the depth and rigor organizations need.
Strong focus on ITM, including features like file and application activity monitoring, file capture, risk scoring, and in some contexts, logging deeper endpoint activities (e.g., screen recording or keystroke logging).
Insider threat prevention capabilities are often described as basic, with less emphasis on the deeper endpoint behavior analytics and monitoring features.
Broad coverage for managed endpoints (Windows, macOS, Linux), allowing for real-time control over all data movement via web uploads, email, removable storage, AirDrop, etc.
Coverage for endpoints is present but will be lighter or less comprehensive, with some users noting a historical limitation to data-in-motion originating from a managed device.
Depth and breadth of Control
Ability to apply granular policy enforcement directly at the endpoint level, which can be critical for controlling sensitive data actions in a complex desktop environment.
Remediation is often prioritized within SaaS apps via API, with endpoint remediation being less granular or the only action possible (no remediation within the SaaS application itself).
Monitoring, Detection & Enforcement
Real-time detection and policy enforcement across Windows, Linux, and macOS. Policies sync in seconds.
SaaS DLP vendors do not have or may have only begun to introduce an agent-based solution. These solutions lack maturity in actual functionality and have reported stability and enforcement issues.