v2.5.6 · Shield Active · 53 Frameworks

AI Output Compliance
Infrastructure

The runtime layer that OneTrust, IBM OpenPages, and Microsoft Purview don't cover. Every AI response scored, every violation flagged, every decision defensible.

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98.7%
MedQA USMLE
99.3%
FinanceBench
2.2s
Avg Latency
53
Regulatory Frameworks
12
Shield Signals
// the gap
The gap nobody talks about
Your GRC stack governs policies, processes, and data. None of them govern what your AI actually says to customers.
01 Infrastructure & Data OneTrust / IBM covered
02 AI Models & Inference Credo AI / pre-deploy
03 UMEQAM — AI Output Compliance (AOCI) 100% runtime coverage
04 Applications & Users gap identified
// architecture
Deterministic pipeline.
No ambiguity.
Four engines. One audit trail. Every decision defensible in regulatory review.
01
SIGNAL_ENGINE
Extracts epistemic signals — certainty markers, hedging patterns, factual claims — from AI output.
→ signals[]
02
REGULATORY_MATCH
Maps signals to active regulatory frameworks for the specified domain. 53 frameworks loaded.
→ violations[]
03
RISK_ENGINE
Computes weighted risk score with penalty exposure in EUR/USD/GBP based on jurisdiction.
→ risk_score: 0–100
04
DECISION_ENGINE
Returns PASS/REVIEW/FAIL verdict with defensibility score and immutable audit_id.
→ verdict + audit_id
// internal shield
Shield — AI anomaly detection
Every GPT-4o and DeepSeek call inside UMEQAM is verified in real time. We analyze our own AI outputs before serving compliance verdicts.
🛡️
12 Detection Signals
UMEQAM Internal Shield monitors every LLM response for anomalies before it reaches your audit trail.
S1: Prompt & response entropy
S2: Injection pattern detection (6 types)
S3: Structural length anomaly
S4: Semantic drift from domain
S5: Role confusion detection
S6: Hallucination markers
S7–S12: Repetition, coherence, timing, language switch
Verdicts: CLEAN / SUSPICIOUS / BLOCKED
Risk below 0.2 → CLEAN. Risk 0.2–0.5 → SUSPICIOUS (flagged in audit). Risk above 0.5 → BLOCKED, response never delivered.
CLEAN — response delivered normally
SUSPICIOUS — flagged with audit_id
BLOCKED — response suppressed
latency: 0.3ms
audit_id: SHD-6FEAD46E-1744...
// coverage
53
Regulatory frameworks
Finance · Medical · Data Privacy · AI-specific. One universal endpoint.
DORA
CCPA/CPRA
UK GDPR
China PIPL
India DPDP
LGPD Brazil
Australia Privacy
Canada AIDA
Colorado AI
Texas TRAIGA
Taiwan AI
Singapore FEAT
Korea PIPA
POPIA
Switzerland nDSG
EMIR
AIFMD
Solvency II
Basel III
EU MDR
EU IVDR
China GenAI
China Deep Synth
Brazil PL 2338
+ 19 more
// integration
One endpoint.
Full compliance.
Send any AI output to UMEQAM. Get structured compliance verdict, penalty exposure, and immutable audit log. Compatible with any LLM.
0.3ms
Shield Latency
2.2s
Full Analysis
53
Frameworks
100%
Runtime Coverage
Universal regulatory endpoint — any of 53 frameworks
# Analyze AI output against any regulatory framework
curl -X POST https://umeqam-api-production.up.railway.app/v1/regulatory/analyze \
  -H 'Content-Type: application/json' \
  -H 'X-API-Key: your-key' \
  -d '{
    "content": "Patient John Smith diagnosis shared without consent",
    "framework": "HIPAA"  ← or GDPR, SEC, EU_AI_ACT, DORA, CCPA...
  }'

# Response
{
  "verdict": "FAIL",
  "risk_score": 70,
  "framework": "HIPAA",
  "violations": [
    { "title": "patient name exposure", "severity": "high" },
    { "title": "diagnosis disclosure", "severity": "high" }
  ],
  "max_penalty_exposure": 1900000,
  "relevant_articles": ["45 CFR 164.514: De-identification"],
  "defensibility_factors": ["de-identification documented", "BAA in place"],
  "audit_id": "umeqam_aa6a02fb",
  "latency_ms": 0.053
}

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