Compare Nightfall
Learn why hundreds of innovative companies choose Nightfall. Between comprehensive coverage, AI-based intelligence, and ease of use, Nightfall helps security teams lower total cost of ownership (TCO) and increase visibility and control.
Win of the Week
Highlighting select wins. See why innovative companies trust Nightfall over the rest.
Oct. 13, 2025
An AI-native SaaS platform just joined Nightfall!
Why Now:
They faced customer demands for comprehensive DLP implementation with a tight timeline. Their remote workforce struggled with latency issues from proxy-based solutions like Netskope and Zscaler. They needed a lightweight solution that wouldn't interfere with employee productivity while meeting strict compliance deadlines.
How Nightfall solved it:
Nightfall's API-based architecture eliminated proxy latency issues while providing comprehensive coverage across SaaS applications, endpoints, and AI platforms. The clean UI enabled rapid deployment and configuration, with policies operational within an hour of kickoff. The context-aware detection reduced false positives significantly compared to pattern-matching competitors, enabling automation.
Competitive Landscape:
Nightfall outperformed Cyberhaven through superior ease of implementation and user experience. They were "very complicated to set up and very easy to misconfigure," with outdated documentation. Nightfall's straightforward deployment, clean interface, and ability to configure policies in under an hour proved decisive.
Oct. 6, 2025
A Top 10 Bank just joined Nightfall!
Why Now:
They are implementing Nightfall to proactively address compliance risks by detecting and remediating sensitive data in Jira. They need a solution that can scan historical data, handle exposure in real-time, and manage violations of different criticality without leading to noise.
How Nightfall solved it:
Nightfall provides a flexible platform that allows them to configure granular monitoring policies with different remediation actions. The solution offers both automated and end-user remediation and historical scanning capabilities.
Competitive Landscape:
In a head-to-head eval, Nightfall's approach to detection was deemed more sophisticated than alternatives like BigID. Nightfall's models use contextual information to reduce false positives, which contrasts with a regex-only approach that often results in noisy and inaccurate findings.
Sept. 29, 2025
A leading mobile payments provider just joined Nightfall AI!
Why Now:
As they pursued a banking license, compliance requirements drove the urgent need for a modern DLP solution. Their teams also uncovered data exfiltration risks during early testing, highlighting the need for accurate detection that could scale across their macOS endpoints and SaaS apps.
How Nightfall solved it:
Nightfall’s AI-powered detection engine delivered the precision they needed, reducing noise while surfacing true risks. Seamless integration with Slack, Google Drive, and macOS endpoints made deployment simple, while the intuitive policy editor and webhook-based SOC integration ensured the security team could enforce compliance without adding operational burden.
Competitive Landscape:
Nightfall outperformed Code42/Mimecast and Cyberhaven by offering stronger detection accuracy, lower false positives, and easier policy management. Competitors’ legacy approaches created more noise and required a heavier lift, whereas Nightfall’s modern architecture and Slack-native workflows fit directly into their security operations and compliance processes.
Sept. 22, 2025
A leading Enterprise AI company just joined Nightfall AI!
Why Now:
‍They needed to prevent data exfiltration and insider risk: Have had issues of departing sales reps taking customer lists from Salesforce & IP stored in Google Drive. They also had DLP requirements from customers and wanted coverage across not only endpoints, but SaaS and shadow AI as well.
How Nightfall solved it:
Nightfall provided a unified endpoint, SaaS and AI app DLP with domain- and content-aware controls and data lineage. They were impressed with the flexibility of both policy creation and remediation actions across the environment. Granular deployment and policy scoping options were an added bonus.
Competitive Landscape:
Nightfall outperformed Cyberhaven by offering unified endpoint, SaaS and AI app coverage. The real-time monitoring across the entire ecosystem captured their attention, as well as remediation options that were not just limited to endpoint actions but flexible by SaaS integration.
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