Get practical fast: connect your SaaS apps, data stores, repos, and messaging tools to Nightfall, then choose what to watch for. Use ML-based detectors to spot personal data, payment details, health records, secrets, and more across data at rest and in motion. Start with ready-made policies for common regulations or craft your own with thresholds, exclusions, and allow/block lists. Route alerts to Slack, email, or tickets; auto-quarantine files, redact fields, or revoke sharing links. Tune confidence levels and sampling to balance coverage and noise, then review findings in a queue with context, remediation steps, and proof for audits.
For developers and product teams, embed protection where users interact. Add pre- and post-upload checks to file endpoints, chat, forms, and comments via API/SDK. Validate content before it’s stored or published to prevent exposure, and return actionable errors so users can fix issues without support. Build moderation flows that filter profanity, harassment, and toxicity while honoring your code of conduct. Use webhooks to kick off review, tag content, or block at the edge. In CI/CD, scan commits, build artifacts, and config for credentials or sensitive strings; gate merges on policy status and generate evidence for pull requests.
Security and IT can run day-to-day operations from a single console. Monitor share events, downloads, unusual access, and large transfers to catch insider risk and exfiltration early. Drill into file server activity with complete read/write/delete trails. Apply just-in-time controls like auto-expiring links, watermarking, or encryption. Investigate incidents with timelines, user context, and impact estimates; trigger playbooks that lock accounts, rotate keys, and notify owners. Use case management to assign, escalate, and close with root-cause notes. Export logs to your SIEM and feed detections to SOAR for automated responses.
Compliance and business teams get audit-ready reporting without spreadsheets. Generate evidence for HIPAA, PCI DSS, SOC 2, and GDPR in minutes, including policy mappings, detections, actions taken, and residual risk. Manage the full policy lifecycle—draft, approval, rollout, version history, and exceptions—with clear ownership. Reduce risk surface by finding redundant, outdated, and trivial data, then enforce retention and legal hold. Share security posture with prospects: provide sanitized metrics, control inventories, and validation of DLP controls to accelerate questionnaires and close bigger deals. Track performance over time: time to detect, time to contain, prevented exposures, false-positive rate, and user coaching impact.
Nightfall
Custom
Human Firewall AI-Native Detection Prevent Secrets Sprawl Prevent Data Exfiltration Safeguard Personal Information AI Data Governance Encrypt Sensitive Data Automatically
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