Keep regulated data inside your control boundary.
Evaluate AI prompt controls without pretending every workload is the same. HoundShield scans compatible traffic inside your environment, helps you document the control boundary, and produces an evidence-oriented assessment mapped to HIPAA and NIST 800-171.
Example AI control flow
Illustrative outcomes for compatible requests intentionally routed through a configured gateway.
Illustrative categories: CUI, secrets, PII and PHI.
Illustrative pattern categories available in a configured deployment.
Configured destinations vary by the workflow, provider, and deployment you approve.
CUI-safe = Mode B (Docker on your infrastructure). The hosted trial runs on Vercel and is not FedRAMP-authorized — use it for non-CUI evaluation only.
From control boundary to reviewable evidence.
HoundShield helps you make the path explicit. Your deployment, configuration, reviewers, and assessment scope determine the result.
Choose the boundary deliberately
Start with the AI traffic and supporting documents you intentionally place inside your deployment and review process.
Keep a human in the decision loop
Review configured control outcomes and proposed evidence fields before relying on them for an internal assessment or customer response.
Build a reviewable record
Organise source-linked decision and document evidence for your own assessment, SSP, POA&M, or customer-review workflow.
Evidence supports review. It does not replace it.
Browser-local document review keeps selected files on the operator's device. Validate every deployment, retention decision, and control mapping for your actual contract and environment.
Start with the boundary your assessor will ask about.
Cloud DLP, productivity-suite governance and local proxy enforcement solve different problems. HoundShield is designed for teams that need a self-hosted control path for AI traffic outside their existing productivity suite. Validate the deployment model against your contract and SSP.
Cloud-routed DLP
Broad cloud DLP can be a strong fit for SaaS data protection. Teams handling controlled data should document its data path and decide whether a cloud inspection model fits their boundary.
Productivity-suite governance
Strong governance inside your productivity suite. It complements—not replaces—a deliberate control path for third-party AI services and developer tools outside that surface.
HoundShield
A self-hosted enforcement option for compatible AI traffic. Detection runs in your environment; use the deployment guide to validate scope, integrations and data residency before rollout.
A clearer path from assessment to evidence
Map a self-assessment to NIST 800-171 controls, prioritise remediation work, and organise supporting evidence for your internal review and assessment process.
CMMC Self-Assessment
Guided questionnaires across all 110 NIST SP 800-171 controls. Your SPRS score updates live as you complete each practice.
AI-Powered Gap Analysis
Brain AI flags unmet controls and generates a remediation roadmap ranked by risk severity and cost — on-device, your key.
SSP & POA&M Export
Generate draft System Security Plan and Plan of Action & Milestones materials with integrity metadata for your review process.
Configured AI Gateway
Inspect compatible requests intentionally routed through HoundShield before they reach an approved upstream AI service.
16 Detection Engines
PHI, CUI, PII, IP, secrets, CAGE codes, contract numbers and clearance markers — 54 shipped patterns, flagged, blocked or quarantined.
Decision Dashboard
Review configured policy outcomes, risk context, and evidence records for the workflows intentionally routed through the deployment.
AI Risk Assessment
Review a defined AI workflow, its control boundary, and the assessment materials needed for your internal evidence process. Scope, compatible integrations, deployment mode, retention, and commercial terms are confirmed before sensitive data or production traffic is used.
- Scoped workflow review for compatible traffic intentionally routed through an agreed customer-operated deployment
- Policy and control mapping to support your assessment against applicable NIST 800-171 and HIPAA considerations
- Reviewable decision records with integrity and provenance information where supported by the selected deployment
- Assessment materials with findings, assumptions, scope, limitations, and recommended next actions for your review
Confirm the selected deployment, data boundary, scope, timeline, and commercial terms before using sensitive data or production traffic. See an illustrative sample report (PDF)
FAQ
Questions teams ask before deploying
Still have questions? Talk to a compliance engineer — we respond within 4 business hours.
Ready to validate your AI control boundary?
Start with the deployment path, compatible traffic, and evidence workflow that fit your environment.
Explore the control boundary