Cloud-routed AI DLP

HoundShield vs Nightfall

Nightfall is a mature, ML-driven cloud DLP with strong PII/PHI classifiers — but its ChatGPT protection runs as a browser plugin that sends prompt content to Nightfall's cloud to be scanned. For a defense or healthcare buyer, that transit is itself the exposure you're trying to eliminate.

Side by side

DimensionHoundShieldNightfall
Where prompts are scannedLocally, inside your network (Mode B/C)In Nightfall's cloud
CUI leaves your boundary?NoYes — sent to their cloud to scan
CMMC / NIST 800-171 evidence PDF$499 one-time report, control-mappedNot a deliverable
AI tools coveredAny OpenAI-compatible endpoint via proxyChatGPT via Chrome plugin + SaaS apps
Air-gapped deploymentYes (Mode C)No (cloud-native)
ML classifier breadth16 deterministic engines100+ ML models
Pricing model$499 report + per-org plansUsage-tiered, enterprise-quoted

Comparison based on publicly available information, last reviewed 2026-07-04. Competitor facts change — tell us if anything here is out of date.

How Nightfall works

Nightfall is an AI-native, API-first cloud DLP with 100+ ML detection models. It protects ChatGPT via a Chrome browser plugin and integrates with SaaS apps (Slack, Salesforce, etc.). Detection happens in Nightfall's cloud; content is transmitted there to be classified and redacted.

Where Nightfall is strong

  • Mature, well-reviewed ML classifiers with high recall on PII/PHI
  • Broad SaaS coverage beyond AI (Slack, Jira, Salesforce, GitHub)
  • Fast browser-plugin rollout with no infrastructure to run
  • Session differentiation (corporate vs personal) added in 2026

Where HoundShield pulls ahead

Local scan — content never leaves your network

In Mode B (self-hosted Docker) HoundShield inspects every prompt on your own infrastructure in <10ms. Nightfall transmits prompt content to its cloud to scan it — for CUI or PHI, that transit can itself be the spill under DFARS 7012 / HIPAA.

A assessor-reviewable evidence artifact, not just blocking

HoundShield generates a $499 one-time CMMC AI Risk Assessment PDF mapped to NIST 800-171 Rev 2 — the evidence an assessor accepts. Nightfall gives you dashboards and alerts, not a control-mapped assessment report.

Any AI tool, one proxy

One drop-in OpenAI-compatible proxy covers ChatGPT, Copilot, Claude and any OpenAI-compatible endpoint — not a per-app browser plugin.

Air-gapped option (Mode C)

For IL-5+ and isolated networks, HoundShield runs fully offline. A cloud-native DLP cannot.

Who this matters most for: Defense subcontractors (Jordan) and healthcare privacy officers (Rachel) who cannot let regulated data transit a third-party cloud.

Choose Nightfall when

  • You want the broadest cloud SaaS DLP coverage and your data is not CUI/regulated in a way that bars cloud transit
  • You prefer zero infrastructure and are comfortable with cloud-based inspection

Choose HoundShield when

  • You handle CUI, PHI, or ITAR and cannot send prompt content to a vendor cloud
  • You need a control-mapped assessment PDF for a C3PAO or auditor
  • You need an air-gapped or fully on-prem deployment

Handling CUI? Run Mode B.

HoundShield scans prompts locally in under 10ms. That CUI-safe property holds only when the scanner runs inside your own boundary. Pick the deployment mode that matches your data:

A · Hosted trial

On Vercel — not FedRAMP-authorized. Demo and non-CUI evaluation only.

B · Self-hosted Docker

Your own infrastructure. CUI-safe — prompt content never leaves your boundary. Right for CUI-handling contractors.

C · Air-gapped

Isolated network. CUI-safe. For enterprise / IL-5+ environments.

HoundShield vs Nightfall

Frequently asked questions

Still have questions? Talk to a compliance engineer — we respond within 4 business hours.

Prove it on your own traffic

Run HoundShield locally for 14 days and get a $499 CMMC AI Risk Assessment PDF — no prompt content ever leaves your network.