Microsoft OneDrive | Nightfall AI

Legacy DLP never worked

Data sprawl

Sharing settings are always changing, and legacy DLP solutions can't accurately determine whether a file contains sensitive data or not.

Low accuracy

Built on rules and heuristics, legacy DLP solutions burden security teams with a high volume of false positive alerts.

High cost of ownership

When security teams are overwhelmed by alerts, it’s more likely for high-risk true positives to slip through the cracks—putting security and compliance at risk.

Nightfall offers a smarter, more scalable solution

Complete coverage

Nightfall integrates seamlessly with SaaS apps like OneDrive.

Enhanced accuracy

Nightfall’s industry-leading GenAI detection engine pinpoints PII, PCI, PHI, secrets, and credentials with fewer false positive alerts.

Streamlined workflows

Security teams can monitor data movement and take action from within the user-friendly Nightfall console.

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HIPAA reporting and monitoring made easy

Healthcare organizations need to protect PHI and comply with HIPAA. Nightfall automatically classifies all cloud data and finds at-risk patient data from a single platform.

Use prebuilt, high accuracy detectors or create your own
Build detection rules for your use cases
Scan text and files, including images
Remediate sensitive data with redaction techniqu

Discover sensitive data across every facet of your Teams workspace

Monitor for sensitive data in real time

Integrate seamlessly with Microsoft Entra AD to automatically include or exclude users, user groups, and mailboxes as changes happen in your Microsoft 365 environment.
Cut down on false positive alerts by using GenAI detectors that have double the precision of legacy DLP solutions.
Calibrate your detection engine to focus on:
High-risk users, such as departing employees
High-risk content, such as specific files, folders, or drives
High-risk data types, such as PII, PCI, PHI, secrets, or credentials

Take immediate action

Configure alerts to Slack, Teams, Jira, email, or your SIEM of choice.
Restrict sharing settings, delete files, or redact sensitive data.
Triage alerts at a glance using context-rich previews that contain snippets of unredacted data, as well as other useful metadata.
Send custom notifications to educate employees about company policies, and empower them to self-remediate policy violations.

Get actionable insights in near-real time

Why Nightfall?

Here’s how Nightfall’s industry-leading GenAI solution stacks up against Microsoft Purview when it comes to protecting images, PII, PHI, secrets, and more.

Features

Nightfall AI

Microsoft Purview

Images

How an organization manages security; Mature organizations take a proactive approach.

Nightfall AI

Protect data at the source

Uses an advanced image classification model.
‍
No setup required.
‍
No additional charges.

Microsoft Purview

Protects data only on the device

OCR only.

Setup required.

Additional charges for each image scanned.

PII

Clear, holistic view of sensitive data in your environment.

Nightfall AI

Real-time and historical data insight

Uses a Convolutional Neural Network (CNN) to detect social security numbers, driver’s license numbers, credit card numbers, and more.

Microsoft Purview

Monitors the endpoint

Relies on regexes and keywords to detect PII, leading to many false positive alerts.

PHI

Ability to modify output independent of changes in available resources.

Nightfall AI

Protection does not depend on resources

Uses GenAI to find healthcare-related documents and surface HIPAA-defined PHI.

Microsoft Purview

Limited interoperability
‍

Uses a limited combination of low-fidelity entity detectors and file classifiers to detect HIPAA violations.

Secrets

Refers to file types, devices, users, and applications.

Cloud DLP

Comprehensive coverage

Scans for multiple types of API keys, tokens, passwords, cryptographic keys, and database connection strings.

Checks the status of found keys and tokens.

Microsoft Purview

Limited coverage

Scans for API keys, passwords, and cryptographic keys, as well as one internal database connection strings.

Does not check key status.

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

Not all DLP is created equal

Your go-to cloud DLP solution should leverage AI to cut through the noise, reduce security team workloads, and improve your security posture.

Get a demo

AI-Native Data Leak Prevention (DLP) for Microsoft OneDrive

EBOOK

Trusted by the most innovative organizations

Legacy DLP never worked

Data sprawl

Low accuracy

High cost of ownership

Nightfall offers a smarter, more scalable solution

Learn more
about benefits

Monitor for sensitive data in real time

Take immediate action

Learn more
about benefits

Why Nightfall?

Security Posture

Depth of insight

Scalability

Coverage

Impact

Accuracy

Total Cost of Ownership (TCO)

Not all DLP is created equal

Compatible with

AI-Native Data Leak Prevention (DLP) for Microsoft OneDrive

EBOOK

Trusted by the most innovative organizations

Legacy DLP never worked

Data sprawl

Low accuracy

High cost of ownership

Nightfall offers a smarter, more scalable solution

Learn more about benefits

Monitor for sensitive data in real time

Take immediate action

Learn more about benefits

Why Nightfall?

Security Posture

Depth of insight

Scalability

Coverage

Impact

Accuracy

Total Cost of Ownership (TCO)

Not all DLP is created equal

Compatible with

Learn more
about benefits

Learn more
about benefits