Exposed API keys
AI provider keys stored in environment variables can leak through logs, error messages, or client bundles.
AI Security
Vercel AI Security Services
Deploy AI on Vercel without leaving secrets, prompts, or audit trails exposed.
Why Vercel AI workloads need security
Vercel makes it trivial to ship AI-powered features, but speed can outrun security. Serverless and edge functions rely on environment variables, third-party AI APIs, and client-server boundaries that are easy to misconfigure.
A single leaked API key or an edge function with loose CORS can expose your model, your prompts, and your customer data. MHCIS builds guardrails into the Vercel workflow so velocity stays high and risk stays low.
Common risks
Over-permissive edge functions
Edge functions with broad CORS or missing authentication become direct paths to your model.
Prompt injection
User input reaches the model without validation, allowing instructions to be overridden or data extracted.
No audit trail
Serverless execution makes it hard to reconstruct who called the model, when, and with what data.
Third-party data leakage
Sensitive prompts or context sent to external AI APIs may violate data residency or privacy rules.
What MHCIS does
Secrets and key management
Rotate AI provider keys, scope them per environment, and keep them out of client-side code.
Edge function hardening
Lock down CORS, authentication, and authorization on Vercel Edge Functions and Serverless Functions.
Prompt input validation
Add schema validation, length limits, and filtering before any prompt reaches a model.
Audit logging
Capture model calls, decisions, and errors with tamper-resistant logs mapped to compliance frameworks.
Compliance mapping
Align Vercel deployments with SOC 2, PCI-DSS 4.0, HIPAA, and GLBA control requirements.
Checklist
Vercel AI security essentials
- Store AI provider keys in Vercel environment variables, never in client bundles.
- Rotate API keys quarterly and after any suspected leak.
- Validate and sanitize all user input before sending it to a model.
- Set strict CORS and authenticate every edge/serverless function.
- Enable request logging and ship logs to a tamper-resistant store.
- Rate-limit AI endpoints to prevent abuse and cost spikes.
- Review third-party AI provider data-processing terms for compliance.
Common questions
Straight answers to what regulated buyers ask first.
Related compliance
AI security work maps to the same compliance program we document on these pages.