Nightfall vs. DTEX

Innovative security teams are switching to Nightfall – the all-in-one data loss prevention platform that increases visibility and lowers overhead.

Four reasons innovators are switching

Comprehensive coverage

Nightfall covers Endpoints, SaaS, and GenAI apps across both data in motion and data at rest.

Frictionless deployment and maintenance

Deploy in hours, not weeks. Nightfall introduces no friction for end-users.

AI-native intelligence

Nightfall is the only solution with both data lineage and LLM powered content classification.

Lower overhead

Nightfall’s automation and remediation capabilities are built for security teams that do more with less. No clunky UX.

"There are so many holes. A key gap is SaaS integrations. We need visibility and control beyond user monitoring."

Director of Information Security, Healthcare company

Comprehensive Coverage

No more visibility gaps when data traverses across SaaS.

Nightfall covers SaaS, endpoints, GenAI apps, and unmanaged devices — DTEX is limited to user activity monitoring on endpoints.
Coverage for data in motion, data at rest, and posture management - DTEX focuses solely on user behavior, missing critical content and context about the data itself.

Usable and Lightweight

Eliminate end-user frustrations and complex rollouts.

Deploy in hours, not weeks — Nightfall is primarily API-native and our agent is extremely lightweight.
DTEX's behavior monitoring approach creates privacy concerns and requires heavy agent deployment that impacts system performance.

"The console user experience for DTEX is really bad. There is a steep learning curve for admins. The solution comes at a high operational cost."

IT Security Leader, Financial services

"Tuning and policy deployment are much more difficult than they should be and it's impossible to tell which version of a policy is deployed to your endpoints."

Security Analyst, Tech company

AI-Native Intelligence

Marry data lineage and content classification with high accuracy.

AI-driven data lineage tracks sensitive data across SaaS, endpoints, and unmanaged devices combined with content inspection for complete protection. DTEX's detection relies on behavioral patterns without understanding what data is actually being moved, leading to blind spots.
LLM-powered data classification pinpoints sensitive content with high accuracy, allowing for granular policies.

Lower Overhead

Get more out of the box with Nightfall.

Automate data protection with policies that can take action natively inside of SaaS apps. DTEX relies on traditional Insider Risk Management approaches requiring manual intervention for each alert.
Nightfall is the #1 rated DLP on G2 in multiple categories, including Fastest Implementation, Best Estimated ROI, and Easiest to Do Business With.

Nightfall vs. DTEX

Features

Nightfall AI

DTEX

DLP Coverage

Nightfall AI

SaaS, endpoints, GenAI apps, and unmanaged devices

Cyberhaven

User activity monitoring on endpoints only

Data at Rest

Nightfall AI

Coverage across common SaaS

Cyberhaven

No coverage

Automation

Nightfall AI

Real-time remediation in the SaaS app and on the endpoint

Cyberhaven

Manual intervention required

Data Lineage

Nightfall AI

Data lineage across SaaS, endpoints, and unmanaged devices

Cyberhaven

Limited to user activity tracking

Ease of Deployment

Nightfall AI

Lightweight, API-first, fast deployment

Cyberhaven

Complex configurations and reliance on multiple tools

Human Firewall

Nightfall AI

Real-time user coaching and remediation

Cyberhaven

Basic user Primarily generates alerts with limited blocking

AI-Powered Content Classification

Nightfall AI

Yes, high accuracy detection across PII, PHI, PCI, secrets and credentials and more powered by LLMs, with comprehensive file type support

Cyberhaven

No, focuses solely on user behavior, missing critical context about the data itself

False Positive Reduction

Nightfall AI

Model annotations and end-user feedback improve accuracy over time

Cyberhaven

High volumes of alerts due to behavior-based approach

Enterprise Grade

Nightfall AI

Robust security and compliance with trust portal and help center

Cyberhaven

Insider Risk Management-focused, lacking breadth of combined data protection

Total Cost of Ownership (TCO)

Nightfall AI

All-in-one coverage, ease of use, and automation give time back to your security team.

Cyberhaven

Security team needs to invest more time in tuning and investigating alerts. Reliance on professional services.

Features

Pros

Cons

Cloud DLP

Shift-left security that detects and protects data at the source, before proliferation and wide disclosure

Does not block data movement.

Network DLP

Inline (in the middle) scanning all web traffic

Compromised end-user privacy as all data is decrypted and scanned, much of which should remain private (e.g. credentials, private keys)

Endpoint DLP

Last line of defense (command and control)

Compromised end-user privacy for anything that should remain private that is on disk (e.g., private keys)

Features

Pros

Cons

Cloud DLP

Real-time and historical data insight with context and granular remediation actions

Limited by cloud provider functionality / API limitations (e.g. download activity data)

Network DLP

Real-time of data in transit on the network

Only data in transit, no insight of historical data

Endpoint DLP

Monitoring at the endpoint for file activity from downloads to removable media

Limited to what is saved on endpoint disk

Features

Pros

Cons

Cloud DLP

Powerful data protection that does not depend on the availability of a device (computer / network) or resources (CPU, memory and bandwidth)

Limited to specific SaaS / Cloud apps

Network DLP

Not limited by endpoint resources

Singular point of failure and bottleneck on the network; adds latency and availability of network and bandwidth

Endpoint DLP

Covers managed endpoints

Limited interoperability with endpoint OS / updates / other agents and highly dependent on endpoint resources (CPU, memory, bandwidth)

Features

Pros

Cons

Cloud DLP

All users and system accounts, APIs and BYODs

Does not cover shadow IT

Network DLP

User and system accounts and sometimes BYOD

API connection data movement is not monitored

Endpoint DLP

All managed endpoints

No coverage of BYOD, API, or third party unmanaged devices

Features

Pros

Cons

Cloud DLP

Business-enabling with no blocking of end-users

Does not block users

Network DLP

Can block users and monitor shadow IT beyond sanctioned apps

Offers blocking only and may break applications with network filtering

Endpoint DLP

Can block user actions

Can block users and will require security intervention.

Features

Pros

Cons

Cloud DLP

Continuously improving high accuracy from machine learning

Network DLP

Regular express and rules-based

Limited complexity due to network requirements for low latency and responsiveness

Endpoint DLP

Regular express and rules-based

Limited complexity due to low latency requirements (CPU, memory) on endpoint

Features

Pros

Cons

Cloud DLP

Real-time coverage in minutes - no agent, device, or network installation or configuration

1-2 weeks of tuning for appropriate insight

Network DLP

Deployment and maintenance is highly expensive, complex and resource intensive

Endpoint DLP

Deployment and maintenance is expensive, complex and resource intensive; re-deployment is required for every new endpoint

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User activity monitoring is not enough.

Data lineage is not enough.

Innovative security teams are switching to Nightfall – the all-in-one data loss prevention platform that increases visibility and lowers overhead.

Comprehensive coverage

Frictionless deployment and maintenance

AI-native intelligence

Lower overhead

Comprehensive Coverage

Usable and Lightweight

AI-Native Intelligence

Lower Overhead

Nightfall vs. DTEX

Security Posture

Depth of insight

Scalability

Coverage

Impact

Accuracy

Total Cost of Ownership (TCO)

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