AI Governance

CBUAE AI Risk Classification API

Deterministically classify financial-institution AI use cases into High, Medium, or Low governance tiers using CBUAE-aligned decision-impact, data-sensitivity, autonomy, explainability, and regulatory-scope signals.

Endpoint:/api/v1/ai-governance/risk-classify
Method:POST
Scope:compliance:ai-governance

Debugging & Support

Include X-Request-ID when contacting support

Every response from KhaleejiAPI includes an X-Request-ID header — a unique identifier that lets our support team pull the exact log entry for your request within seconds. Always share it when reporting an unexpected error or unexpected result.

How to capture it

JavaScript / fetch

const res = await fetch("https://khaleejiapi.dev/api/v1/...", {
  headers: { Authorization: "******" },
});
const requestId = res.headers.get("x-request-id");
console.log("Request ID:", requestId);
// → e.g. "req_01j9xkz4vp8..."

cURL

curl -si "https://khaleejiapi.dev/api/v1/..." \
  -H "Authorization: ******" | grep -i x-request-id
# → x-request-id: req_01j9xkz4vp8...

Browser DevTools

Open DevTools (F12) → Network tab → click the failing request → scroll to the Response Headers section → copy the value next to x-request-id.

For a full list of error codes and guidance on common issues, see the Troubleshooting guide.

Try it out

POST/api/v1/ai-governance/risk-classify

Parameters

Code

curl
curl -X POST "https://khaleejiapi.dev/api/v1/ai-governance/risk-classify?body=%7B%22modelName%22%3A%22CreditScore-v3%22%2C%22useCase%22%3A%22credit_scoring%22%2C%22decisionType%22%3A%22automated%22%2C%22humanOversight%22%3Afalse%2C%22dataTypes%22%3A%5B%22financial_history%22%2C%22identity%22%2C%22behavioral%22%5D%2C%22deploymentScope%22%3A%22retail_banking%22%2C%22affectedParties%22%3A%5B%22retail_customers%22%5D%2C%22explainability%22%3A%22post_hoc%22%2C%22country%22%3A%22AE%22%2C%22regulatoryScope%22%3A%5B%22consumer_protection%22%2C%22prudential%22%5D%7D" \
  -H "Authorization: Bearer your_api_key"

Scoring model

DimensionFocus
Consumer impactCredit access, payment blocking, underwriting, AML/CFT outcomes
Data sensitivityFinancial, identity, biometric, behavioral, and PDPL-sensitive data classes
AutonomyAutomated vs human-assisted decisions and escalation availability
ExplainabilityAnte-hoc, post-hoc, or no explainability support
Regulatory scopePrudential, consumer protection, AML/CFT, data privacy, capital markets