Cloud-routed AI & SaaS DLP

HoundShield vs Strac

Strac is a capable SaaS DLP with strong redaction UX across email, ticketing, and AI surfaces — but like other cloud DLPs, its published architecture inspects content in Strac's cloud. For a buyer whose problem is regulated data leaving the network, the inspection path is the exposure.

Side by side

DimensionHoundShieldStrac
Where content is scannedLocally, inside your network (Mode B/C)In Strac's cloud
CUI/PHI leaves your boundary to be checked?NoYes — sent to their service to scan
CMMC / NIST 800-171 evidence PDF$499 one-time, control-mappedNot a deliverable
SaaS app coverage beyond AIAI endpoints via proxyEmail, Slack, Zendesk, storage, and more
Redaction UXBlock/quarantine with audit trailInline masking of the sensitive element
Air-gapped deploymentYes (Mode C)No (cloud-native)

Comparison based on publicly available information, last reviewed 2026-07-10. Competitor facts change — tell us if anything here is out of date.

How Strac works

Strac provides SaaS and endpoint DLP with automatic detection and redaction of sensitive data (PII, PHI, payment data) across tools like email, Slack, Zendesk, and generative AI apps. Content is scanned by Strac's cloud service, which then redacts or blocks per policy.

Where Strac is strong

  • Polished redaction workflow — masks the sensitive element instead of blocking the whole message
  • Broad SaaS app catalog beyond AI (email, support desks, chat, storage)
  • Quick SaaS onboarding with no infrastructure to run
  • Solid PII/PHI detector coverage for general privacy programs

Where HoundShield pulls ahead

Scanning happens inside your boundary

HoundShield Mode B (self-hosted Docker) inspects every AI-bound prompt on your own infrastructure in <10ms. A cloud DLP must receive your content to scan it — for CUI under DFARS 7012, that transit is the exposure you were trying to prevent.

CMMC evidence artifact, not just prevention

The $499 CMMC AI Risk Assessment maps every prompt event to NIST 800-171 Rev 2 controls in a SHA-256-signed PDF — a deliverable your assessor reads. General DLP dashboards don't translate to assessor evidence.

One proxy covers every AI tool

Any OpenAI-compatible endpoint — ChatGPT, Copilot, Claude, Gemini — is covered by one URL change at the network level, rather than per-app SaaS integrations.

Air-gapped option for defense environments

Mode C runs with no external connectivity at all. Cloud-native DLP architectures cannot follow you into an isolated network.

Who this matters most for: Defense subcontractors and healthcare privacy officers whose core requirement is that regulated content never transits a vendor cloud — and who need assessor-grade evidence, not just prevention.

Choose Strac when

  • Your priority is broad SaaS DLP (email, ticketing, chat) and your data isn't barred from cloud inspection
  • You want inline redaction UX across many SaaS apps with zero infrastructure

Choose HoundShield when

  • You handle CUI, ITAR, or PHI that cannot leave your network — even to be scanned
  • You need a NIST 800-171-mapped assessment PDF for a C3PAO or auditor
  • You need on-prem or air-gapped 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 Strac

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.