AI Security & Governance for Cloud Platforms

Secure and operate AI on Vercel, Google Cloud, Azure, Oracle Cloud, and AWS. MHCIS provides managed security and implementation for regulated industries.

The gap

Teams can spin up an AI feature in days, but securing it is harder. API keys leak, prompts get injected, audit trails go missing, and compliance questions pile up. MHCIS closes that gap with managed security and implementation services for the cloud platforms you already use.

Platforms we secure

Vercel

Harden serverless AI apps, edge functions, and third-party API integrations.

Google Cloud

Secure Vertex AI, Gemini integrations, and GCP data flows.

Azure

Lock down Azure OpenAI Service, AI Foundry, and enterprise AI deployments.

Oracle Cloud Infrastructure

Protect OCI AI services and enterprise workloads with compliant architecture.

AWS

Secure Bedrock, SageMaker, and the surrounding AWS AI pipeline.

How we help

Managed AI Security

Ongoing monitoring, hardening, incident response, and governance for AI workloads.

  • 24/7 monitoring of AI endpoints and data flows
  • Prompt injection and output filtering defenses
  • Identity and secrets management
  • Compliance evidence for SOC 2, PCI-DSS, HIPAA, and GLBA

Implementation & DevOps

Design, deploy, and operate secure AI infrastructure on your chosen cloud platform.

  • Secure architecture reviews and threat modeling
  • Private endpoints, encryption, and network segmentation
  • Infrastructure as code and CI/CD hardening
  • Model observability and audit logging

Compare your options

Managed vs. DIY

Compare building an AI security practice in-house with MHCIS managed services.

Vercel AI Security Checklist

A practical checklist to harden AI applications deployed on Vercel.

Common questions

Straight answers to what regulated buyers ask first.

AI security work maps to the same compliance program we document on these pages.

Contact

sales@mhcis.com (803) 881-3889

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