From Scorecard Gap to Platform Solution
Each category in your readiness report maps to a specific Three Gates capability. Here's how the platform addresses what your scorecard found.
Scorecard Category
PHI Identification
Staff can't reliably identify all 18 HIPAA identifiers in AI prompts.
Pre-submission tokenization & detection
Three Gates scans every prompt and response for PHI in real time (patient names, MRNs, dates of birth, and 15 more identifier types) before data is forwarded to any AI model. Detected PHI is tokenized pre-submission, so general-purpose AI models reason over typed semantic tokens rather than raw patient information.
Scorecard Category
Safe AI Usage
Employees use AI tools without guardrails, risking inadvertent PHI exposure.
Runtime PHI enforcement
Three Gates enforces PHI policy before supported model invocations. Detected sensitive values are tokenized before model submission, and requests are routed according to risk.
Scorecard Category
Policy Awareness
Policies exist on paper but aren't enforced at the point of AI interaction.
Purpose-scoped authorization
Requests are authorized against a declared purpose, with per-tool authorization inside that purpose. The decision is recorded per supported invocation.
Scorecard Category
Incident Response
Teams lack structured response protocols when AI handles sensitive data incorrectly.
Decision records
Per-request records capture detected sensitive data types, the decision, transformations, destination, model, and the PHI enforcement policy that resolved.
More Than Training. A Runtime Control Plane.
The readiness assessment is just the starting point. Three Gates provides the operational infrastructure to deploy AI safely across your organization.
Pre-submission tokenization
Detected PHI is replaced with typed semantic tokens before any general-purpose AI model is invoked. Rehydration occurs only at authorized execution boundaries.
Multi-layer detection
A defense-in-depth cascade scans text and images for PHI, PII, and clinical identifiers. Configurable per organization.
API Gateway
A governed path for supported AI interactions with PHI scanning, rate limiting, streaming support, and a decision record.
Policy Enforcement
PHI policy is enforced before model invocation, with detected sensitive values tokenized before submission.
Multi-Provider Routing
Requests route by risk level across configured model destinations, with health tracking and automatic failover.
Interactive Training
Six exercise types covering PHI detection, tokenization, policy enforcement, and clinical scenarios with the real detection engine.
Audit Logging
Per-request decision records with configurable retention and SIEM integration.
Readiness Monitoring
Continuous tracking of organizational readiness with trend analysis, baseline-locked scoring, and improvement metrics.
Track Your Improvement
Your readiness scorecard captures baseline knowledge: what your team knows before training. Subsequent assessments can show how organizational readiness changes over time.
Baseline
Baseline locked
Follow-up
Trend over time
What Happens Next
Review your report with your compliance team
Share the scorecard with leadership. The regulatory citations and gap analysis give your compliance team everything they need to prioritize remediation.
Apply to the Design Partner Program
Bring your report and a workflow you need to govern. The design partner program is the path for evaluating fit and shaping the configuration around a real healthcare use case.
Define a governed first use case
If there is a fit, define the purpose, data boundary, model destination, and evidence needed for the first supported workflow.