AWS Security Audit for AI-Driven Workloads in Healthcare & Fintech

This service is ideal for healthtech companies, PBMs, fintech startups, and SaaS teams building AI copilots, ML-powered automations, or backend systems that require cloud-native security aligned to HIPAA, PCI DSS, and SOC 2.

What’s Included

Our assessment covers a broad range of AWS services to ensure your infrastructure meets modern security, governance, and operational standards. We evaluate:

IAM (Identity & Access Management) – Detect overly permissive roles, inactive accounts, and lack of MFA enforcement

Amazon S3 – Identify open buckets, missing encryption policies, and improper public access

Amazon RDS – Validate encryption, backup policies, and database-level security controls

Amazon EC2 & VPC – Review security group policies, network segmentation, and access controls

CloudTrail, AWS Config, GuardDuty, Macie, Security Hub – Ensure monitoring and logging tools are active, well-configured, and producing useful alerts

Deliverables

You will receive a detailed, prioritized security assessment report that includes:

A clear summary of risks and vulnerabilities

Mapping to HIPAA, PCI DSS, and SOC 2 controls

Quick-win and long-term recommendations

Visual diagrams of insecure configurations

Policy and tagging improvement guidance

Suggestions for cost-efficient enhancements

Architecture and infrastructure hardening advice tailored for teams building AI agents or sensitive applications

Key Focus Areas:

Compliance-Ready Architecture

We ensure your architecture aligns with frameworks such as HIPAA, PCI DSS, and SOC 2 by validating encryption at rest and in transit, IAM policies, backup configurations, and logging/audit readiness.

🛠 Misconfiguration & Vulnerability Discovery

Identify and eliminate common risks such as:

Publicly accessible S3 buckets

Wide-open security groups (0.0.0.0/0)

Over-privileged IAM roles

Inactive user accounts without MFA

Resources lacking appropriate tags for cost or ownership tracking

Encryption & Data Protection

Ensure your storage, databases, and data pipelines use AWS-native tools like KMS, S3 encryption, SSL certificates, and Secrets Manager to properly safeguard PHI, PII, and PCI-sensitive records.

AI-Specific Governance Readiness

For teams deploying LLMs or AI agents in healthcare/fintech:

We help ensure your ML pipelines and inference endpoints operate securely, with protections around sensitive training data, fine-tuned models, and API usage governance.

Monitoring & Threat Detection

We guide you on activating and configuring tools like GuardDuty, Macie, AWS Config, and CloudTrail to continuously monitor for data loss, malicious activity, or misconfigurations.

Cost-Conscious Remediation Guidance

Every recommendation is prioritized not just by impact and urgency—but also by implementation cost. Whether you're an early-stage startup or an enterprise, we help you build a secure foundation without overprovisioning or overspending.

Ideal Use Cases

You are building or deploying AI-powered healthcare or fintech apps on AWS

You manage PHI, PCI, or financial data and need to meet audit standards

You want a quick but thorough security review without a long-term retainer

You're preparing for SOC 2 Type 1/2, HIPAA attestation, or PCI compliance

You’re launching new AI agents or LLM-driven copilots and want to ensure secure infrastructure before scaling

Why This Matters for AI Teams

Traditional security audits overlook how AI workloads handle sensitive data—especially when integrated into intelligent agents, chatbots, or automated decision systems. This assessment is designed to give you a strong foundation before launching AI-enabled solutions by identifying weak links across your infrastructure, enforcing encryption and access controls, and aligning with healthcare and financial compliance frameworks.

By combining deep AWS security expertise with knowledge of regulated industries, our assessment helps you go from insecure to audit-ready—fast.