Discover, classify, and protect your sensitive data
in Jira

Nightfall uses machine learning to identify business-critical data, like customer & employee PII, across your Jira account, so you can manage & protect it.

  • Discover

    Integrate in minutes with cloud services via APIs to monitor data without agents.

  • Classify

    Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed.

  • Protect

    Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe.

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Case Studies

FAQs

How do I deploy Nightfall?

Nightfall integrates with services via their APIs, and is fully cloud hosted. Nightfall is the industry's first cloud-native DLP platform.…

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How long does it take to deploy Nightfall?

For most systems it takes on the order of minutes to deploy. Because Nightfall is cloud-native and integrates directly via…

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How does Nightfall classify data?

Nightfall uses machine learning to classify data. Our deep learning-based classifiers are trained on massive volumes of data to yield…

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What types of data does Nightfall classify?

Nightfall classifies over 100+ types of sensitive data, including forms of personally identifiable data (PII), protected health information (PHI), payment…

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Does Nightfall scan unstructured data?

Yes, Nightfall scans unstructured data and parses text from 100+ file types. For example, this could be data like customer…

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How does Nightfall integrate with Slack?

Nightfall integrates directly with your Slack organization or workspace as a Slack bot. Installing the bot takes just one click…

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How does Nightfall yield time savings for my team?

Nightfall saves time by automating data detection, classification, and remediation. First, Nightfall installs in minutes, so you won't need IT…

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How does Nightfall help with compliance?

Compliance regimes like GDPR, CCPA, HIPAA, and PCI-DSS require effective management & protection of customer data to keep consumers safe.…

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Nightfall vs. Legacy DLP: What’s the difference?

Traditional data loss prevention (DLP) platforms focus primarily on securing data on endpoints (devices like laptops, phones, servers) or networks.…

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