Nightfall Data Loss Prevention is a commercial data loss prevention tool by Nightfall AI. ZORB DataShield is a commercial data loss prevention tool by ZORB. Compare features, ratings, integrations, and community reviews side by side to find the best data loss prevention fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Mid-market and enterprise teams drowning in SaaS sprawl need Nightfall Data Loss Prevention because it actually catches data leaks in ChatGPT, Slack, and Google Workspace instead of pretending they don't exist. The platform covers ID.AM and PR.DS across cloud apps and endpoints with real-time blocking, plus its Nyx agent automates incident investigation so your team isn't manually triaging alerts at midnight. Skip this if you're primarily concerned with on-premises data centers or need deep DLP integration into legacy enterprise applications; Nightfall's strength is modern, cloud-first environments where traditional perimeter controls don't apply.
AI-powered DLP platform for SaaS, AI apps, and endpoints
Blocks unauthorized app data exfiltration via real-time outbound flow validation.
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Common questions about comparing Nightfall Data Loss Prevention vs ZORB DataShield for your data loss prevention needs.
Nightfall Data Loss Prevention: AI-powered DLP platform for SaaS, AI apps, and endpoints. built by Nightfall AI. headquartered in United States. Core capabilities include Data exfiltration prevention across endpoints, browsers, email, and removable media, Real-time detection and blocking of sensitive data in SaaS and AI applications, Data discovery and classification for sensitive data at rest..
ZORB DataShield: Blocks unauthorized app data exfiltration via real-time outbound flow validation. built by ZORB. Core capabilities include Deny-all default policy for outbound application data flows, Real-time 3-point verification: trusted source, destination validation, transmission security, DNS-independent destination IP validation against known vendor infrastructure..
Both serve the Data Loss Prevention market but differ in approach, feature depth, and target audience.
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