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AI-Native Data Exfiltration Prevention for SaaS and Endpoints

Leverage generative AI (GenAI) to discover sensitive data and monitor data movement.

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Why Cloud Data Protection is Essential for Addressing Modern Security Challenges

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Legacy DLP never worked

Legacy DLP solutions have trouble differentiating between unauthorized and legitimate data transfers due to…
Nightfall for SaaS

Spotty coverage

Legacy DLP requires a patchwork of point solutions and techniques to monitor different parts of the enterprise stack.

Nighfall for data at rest

Low accuracy

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

Nightfall for ChatGPT

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

Nightfall Data Exfiltration Prevention leverages GenAI for benefits such as…

Complete coverage

Nightfall integrates seamlessly with SaaS apps and managed endpoints.

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 download events across SaaS apps and endpoints

  • Detect download events and uploads to unsanctioned locations in real time.

  • Set alert thresholds based on the number of downloads that occur in a certain time frame (e.g. “10 downloads in 24 hours”).

  • Reduce noise by tailoring policies according to:

    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

Get actionable alerts or respond in the Nightfall console

  • Configure alerts to Slack, Teams, Jira, email, or your SIEM of choice.

  • Review rich metadata for relevant users and content in the Nightfall console, including recent activity logs.

  • Take immediate action by suspending user access to SaaS environments.

  • Send custom messages to educate employees about policy violations either in-app or via Slack, Teams, or email.

Get actionable insights in near-real time
Discover sensitive data across every facet of your Teams workspace

Defend your data in real time

  • Take action by restricting file permissions, suspending user accounts, blocking unsanctioned file transfers, and more.

  • Send automated messages to educate employees about company policies and empower them to self-remediate policy violations.

  • View actionable insights about each policy violation, including related file names, file sizes, device names, device locations, user names, user histories, and more.

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.