Why Now:
They needed comprehensive DLP coverage across their endpoint devices as well as their SaaS-heavy tech stack, including Slack, Google Workspace, and GitHub. They required a solution that could detect PHI/PCI, prevent data leakage to AI tools, and provide email encryption capabilities, all within a short implementation timeframe.

How Nightfall solved it:
Nightfall's integrations seamlessly covered their SaaS environment without requiring infrastructure changes. The endpoint agent monitored for things like copy-paste activity to ChatGPT and other LLMs, while native Gmail encryption solved for a secure communication requirement. The flexible policy engine enabled granular control across both Mac and Windows endpoints.

Competitive Landscape:
While Proofpoint offered legacy DLP capabilities, Nightfall's modern SaaS-native architecture better aligned with their cloud-first environment. Nightfall's superior integration flexibility, posture management, and shadow AI monitoring, provided comprehensive coverage that Proofpoint's older architecture couldn't match. The ability to quickly deploy via their existing MDM and intuitive policy tuning sealed the decision.

Why Now:
As their digital asset infrastructure scaled, existing DLP tools fell short. Cyberhaven’s misaligned metadata caused audit chaos across SaaS and AI tools. Code42 detected leaks but couldn’t stop them; its alert-only approach left teams cleaning up manually while risks grew. They needed unified visibility and real-time prevention across endpoints, SaaS, and AI.

How Nightfall solved it:
Nightfall replaced fragmented, reactive DLP with unified, active prevention. It instantly mapped devices to correct users, fixing attribution errors. Within days, AI-based classifiers identified PII and credentials in real time, blocking exfiltration across endpoints, Slack, ChatGPT, and Google Workspace. Automated policies and contextual enforcement turned DLP from reactive to preventive, delivering protection without disruption.

Competitive Landscape:
Cyberhaven’s narrow endpoint focus and lagging telemetry couldn’t scale with fintech hyper-growth speed. Code42’s periodic syncs and post-incident alerts were too slow. Both lacked flexible policies and the right coverage. Nightfall’s cloud-native architecture delivered full SaaS visibility, real-time enforcement, AI-precise classification, and a superior admin experience, all through one pane of glass, driving measurable risk reduction and productivity gains.

Why Now:
With customers actively asking about their data security measures, they needed comprehensive monitoring and data exfiltration prevention within weeks, accelerating revenue.

How Nightfall solved it:
Nightfall's lightweight endpoint agent provides comprehensive coverage for cloud storage sync monitoring, browser-based uploads, and clipboard copy-paste detection. The Human Firewall capabilities enable in-the-wild user coaching at scale during the company's hypergrowth phase.

Competitive Landscape:
Nightfall outperformed Code42 Incydr (Mimecast) through superior content classification capabilities and comprehensive coverage. Code42’s ownership by private equity signaled that innovation had stalled. Meanwhile, Nightfall offered multiple robust modules that Code42 couldn't match.

Why Now:
They needed visibility into sensitive data exposure across collaborative tools to enable AI tool adoption safely. With hundreds of employees and a small IT security team, they required automated detection and remediation to scale their data protection efforts.

How Nightfall solved it:
Nightfall provided comprehensive DLP across numerous SaaS apps, such as Google Drive, Slack, and Notion, with customizable detection, automated remediation actions, and intelligent risk scoring. The platform's ability to detect student data patterns and provide granular policy controls addressed specific EdTech compliance needs.

Competitive Landscape:
While they evaluated other governance tools that offered basic data classification as a feature, Nightfall's dedicated, best-of-breed focus on data loss prevention and insider threat, and the product’s superior customization capabilities for education-specific use cases made it the clear choice over generalist solutions.