Nightfall 
Nightfall provides AI-native data loss prevention for detecting and protecting sensitive information across cloud applications, including Zendesk.
Starting price Custom pricing
Tool Information
Nightfall provides AI-native data loss prevention for detecting and protecting sensitive information across cloud applications, including Zendesk.
Security teams map regulated data, connect authorized systems, tune detectors, test false positives and response workflows, apply least privilege, and monitor incidents and policy impact.
Commercial pricing is customized by protected applications, users, data volume, detectors, deployment, and support.
DLP can miss sensitive data, over-block legitimate work, or expose content to security operators. Validation, access control, privacy, incident procedures, and auditability are essential.
F.A.Q (3)
Pros and Cons
Pros
- Nightfall detects personally identifiable information across SaaS; email; endpoints; browsers; and AI applications
- Prebuilt detectors cover payment-card information
- Protected health information has a dedicated detection category
- Credential and secret detection helps reduce exposed keys and passwords
- Intellectual-property policies can protect organization-specific sensitive content
- The same policy engine can govern conventional SaaS data and generative-AI prompts
- Endpoint controls can block sensitive data sent to unsanctioned AI tools
- Nightfall discovers local and remote Model Context Protocol servers
- Shadow-MCP inventory highlights servers outside the approved environment
- Policy checks can inspect MCP tool calls and responses in real time
- Hooks cover Cursor; Claude Code; and VS Code workflows on macOS and Windows
- OpenTelemetry audit trails record Claude Code or Cowork activity
- Automated remediation can respond without waiting for every manual investigation
- Employee notifications support contextual self-remediation
- More than one hundred file types; including images; can be inspected
- The developer platform includes three gigabytes of scanning each month at no charge
Cons
- Nightfall Complete requires a tailored sales quote
- Enterprise licensing is annual and charged per user
- AI Agent Security is a separate higher-coverage package
- Only one hundred fifty gigabytes of data-at-rest scanning is included before add-on packs
- The free developer allowance is unsuitable for large production volumes
- Scanning price is based on uncompressed data volume
- False positives can block legitimate work and frustrate employees
- False negatives can still allow a sensitive record or secret to escape
- Endpoint and browser inspection requires careful employee privacy governance
- LLM responses are monitor-only in the listed coding-agent hooks
- Connecting Slack; Drive; Confluence; email; and other SaaS systems grants broad inspection access
- Custom detectors require testing across formats; languages; and edge cases
- MCP inventory cannot make an unsafe third-party server trustworthy
- Compliance templates assist controls but do not certify the organization
- The seven-day proof-of-value is short for testing every department and data class
- Security teams still need incident ownership; exception review; SIEM tuning; and response procedures
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Overview
Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
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