The average cost of a stolen record is $242. See how much your organization can save with cloud data protection: Generate your ROI report.

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 100+ 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 150+ 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 allows us to redact or prevent sharing data and notify our security team almost instantly in Slack, and presents us with what actions we can take. It allows us to review the data; determine whether or not it is sensitive and delete it if we choose. It helps inform us on how we can train our users on what is safe to share and the mediums to use to share sensitive information.”

Azret Deljanin

VP of Infrastructure and Security

150 +

Users

253,000 +

Investors served

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“I was looking to find a DLP solution that could help with spotting potential sensitive information when we communicate via Slack."

Ra’Monne Hayes

Senior Risk & Compliance Manager

1,000 +

Users

20 million

Queries processed daily

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"We wanted to create efficiency for our administrative team. We cannot disclose anything about interactions with the members and patients. Protecting this data is critical to our success and growth, and the safety and security for our members."

Keely Strong

Vice President, Operations

240 +

Users

40 +

Locations

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“Nightfall’s automated bot taps directly into our existing communication channels and tooling. It provides a massive benefit to us. Now our developers can focus on delivering value — not only to our customers through NorthOne features, but also to our own internal stakeholders, like customer care.”

Blake Edwards

Vice President, Engineering

50 +

Users

190,000 +

Clients served

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