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Prevent insider threat in SaaS and IaaS enviroments

Forrester predicts that 33% of data breaches in 2021 will be the result of insider threat. With the increased adoption of remote work, insider threat will grow for organizations caught off guard. Have controls in place to detect sensitive data stored in your cloud environment with Data Loss Prevention (DLP).
Forrester predicts that 33% of data breaches in 2021 will be the result of insider threat. With the increased adoption of remote work, insider threat will grow for organizations caught off guard. Have controls in place to detect sensitive data stored in your cloud environment with Data Loss Prevention (DLP).

Decrease your insider threat risk with DLP

Do you know when sensitive data is replicated or shared across various platforms? Data Loss Prevention (DLP) from Nightfall scans data in a broad set of files types, including unstructured data with machine-learning based OCR so you can discover unknown unknowns and protect against insider threat.

Learn where your sensitive data is stored

Use Nightfall’s machine learning trained detectors to fully customize scans in your SaaS and IaaS environments to search for business-critical data at risk of exposure. Defend against insider threat at the source: prevent users from sending credit card information in Slack messages, protect against credentials being exposed in GitHub, and more.

Manage insider threat risk with DLP

Anyone with access to your systems, platforms, and apps can be a potential vector for data exposure. Insider threat can also stem from third-party vendors, contractors, and others who can log in and access your data. Your attack surface is likely larger than you think. Protect data across your cloud systems with Nightfall and start using machine learning trained detectors to find and mitigate threats anywhere, anytime.

UserTesting is building culture of security with their DLP program — and Nightfall

Nightfall supports UserTesting’s core security values: put customers first, keep it simple, and recognize value. Security is integrated into their internal communication infrastructure with DLP.

Read the UserTesting case study
“Nightfall has allowed us to automate the detection and response of DLP in Slack. This has alleviated an impossible task of manually monitoring the platform.”

Stuart Lane

Information Security Engineer for Application Security

12,000 +

Users

1,500 +

Locations

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“Nightfall’s ease of setup and accuracy of identified data are both on point.”

Michael Supon

Head of Security and Compliance

150 +

Users

55,000 +

App downloads

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Nightfall has consistent detectors so I can create rule sets that work across all my integrations… I have a lot more clarity when managing my DLP with Nightfall.

Brent Lassi

CISO

400+

Brands

1500+

Repos

Read case study
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