AI/ML security and cost audits for AWS

Reduce AI/ML Costs Without Compromising Security

Startups • Scale-ups • Enterprise

Cost + Security audits for AWS SageMaker and Bedrock — followed by a production-ready baseline deployed through code. Private-by-default, encrypted, least-privileged, and audit-ready.

Book a Discovery Call Calculate Your Savings
40%
Avg Cost Reduction
$10K+
Savings Target (Annual)
5 Days
Audit Delivery
VPC-Only
Secure Baseline Available
AWS Certified Machine Learning - Specialty AWS Certified Machine Learning • Specialist

AWS AI/ML Security & Cost Specialist

We help engineering teams cut AI/ML spend and eliminate security risk across AWS SageMaker and Bedrock — with a live audit dashboard, exportable PDF report, and production-ready baseline deployed through code. In a typical SageMaker engagement, our most common finding is an ml.m5.4xlarge real-time endpoint running at under 15% utilization — recoverable waste of $6,000–$12,000 per year, per endpoint. On Bedrock, the pattern is unthrottled on-demand inference with no cost guardrails.

Platform Stack

  • AWS SageMaker (Studio, training, inference)
  • AWS Bedrock (model access, guardrails, cost controls)
  • Private networking + IAM guardrails
  • KMS encryption + secure S3 access patterns
  • Cost optimization across training, endpoints, and inference

AWS Certified ML Specialist with 15+ years of enterprise platform engineering across financial services and pharmaceutical environments.

What You Get

  • Live audit dashboard — Cost, Security & Executive Overview tabs
  • Exportable PDF findings report with severity rankings
  • Savings estimate + prioritized remediation roadmap
  • Secure baseline deployed through code (repeatable Terraform IaC)
  • Findings walkthrough call + handoff documentation

Clear deliverables, 5-day turnaround, and a baseline your team can reuse across projects.

AWS Certified Machine Learning - Specialty

AWS Certified Machine Learning – Specialty
AWS AI/ML Platform Specialist  ·  SageMaker & Bedrock Production Readiness  ·  Security + Cost Guardrails

What We Find

Common AI/ML Cost & Security Issues

These are the findings that appear in almost every SageMaker and Bedrock environment we audit. Our live dashboard surfaces all four — with severity ratings, savings estimates, and a prioritized fix order — delivered within 5 business days.

Over-Provisioned Endpoints

Instances are sized "just in case" and never revisited. Right-sizing and choosing the right inference pattern can unlock meaningful savings.

Idle Notebooks & Compute

Notebooks, endpoints, and supporting resources run longer than needed. Simple guardrails and schedules reduce waste quickly.

Auto-Scaling Misconfigurations

Fixed capacity wastes spend at idle and underperforms during spikes. Auto-scaling with sensible bounds keeps costs predictable.

Security Drift

IAM roles accumulate over-broad permissions with each new project. In a recent audit we found a SageMaker execution role with s3:* on every bucket in the account — a single misconfiguration that would have failed any SOC 2 review.

Our Services

AI/ML Security & Cost Audit Services

From a focused cost audit to full cost + security coverage across SageMaker and Bedrock — with a production-ready baseline your team can ship.

MOST POPULAR

AI/ML Cost Audit

Find and eliminate SageMaker and Bedrock overspending fast — with a live dashboard and actionable PDF report delivered in 5 business days.

  • Live cost dashboard (Cost tab)
  • Exportable PDF findings report
  • Single AWS account
  • SageMaker endpoint utilization + training job analysis
  • Bedrock on-demand inference cost review
  • Notebook waste identification
  • 30-min findings walkthrough call
Delivered in 5 business days  ·  Single account
BEST VALUE

Cost + Security Audit

Full cost and security coverage across SageMaker and Bedrock in a single five-day engagement — with multi-account support, a complete dashboard, and a remediation roadmap your team can action immediately.

  • Live dashboard — Cost, Security & Executive Overview tabs
  • Exportable PDF findings report
  • Multi-account (scoped per engagement)
  • SageMaker + Bedrock IAM, endpoint exposure + encryption review
  • Bedrock guardrails + model access posture
  • Prioritized remediation roadmap
  • Executive summary included
  • 60-min findings walkthrough call
Delivered in 5 business days  ·  Multi-account

Secure Baseline Deployment

Turn your audit roadmap into a production-ready SageMaker foundation — deployed through Terraform IaC, secured by default, and built to scale.

  • VPC-only + private access patterns
  • IAM least-privilege guardrails
  • KMS encryption + secure S3 access patterns
  • Audit-ready logging and monitoring baseline
  • Repeatable Terraform IaC deployments
  • Validation checklist + handoff documentation
Custom scoped  ·  Delivered in code

Not sure which engagement fits your environment? A 15-minute call is the fastest way to find out.

Schedule a Discovery Call
Ongoing Coverage

Monthly Monitoring & Optimization

For teams post-audit or post-deployment who want ongoing cost and security coverage as their SageMaker environment grows.

Live dashboard refreshed monthly
Monthly PDF findings report
Slack or email access
Quarterly security posture review

🛒 Available on AWS Marketplace  |  All services can be procured directly through your existing AWS account.  View our AWS Marketplace profile →

See It In Action

The Audit Dashboard

Every engagement delivers a live dashboard across three views — plus an exportable PDF report your team can act on immediately.

SageMaker Cost Audit Dashboard

Endpoint utilization, training job costs, notebook waste — prioritized by savings impact.

Savings Estimator

What Could You Save?

Enter your workload details below. Estimates use current AWS on-demand pricing — no fluff, no made-up multipliers.

Pricing: AWS on-demand, us-east-1

Real-Time Endpoints
Training Jobs
Studio Notebooks / Instances
40%
20% — already optimised 55% — significant waste found
Est. Monthly Spend
$0
Monthly Savings
$0
Annual Savings
$0

Estimates based on AWS on-demand pricing (us-east-1) and typical audit findings. Actual savings vary by workload, utilization patterns, and reserved capacity. Book a call for a scoped estimate specific to your environment.

Book a Free 15-Min Discovery Call →
How It Works

Our 5-Day Audit Process

Kickoff & Read-Only Access

Day 1

Short kickoff to confirm scope and goals. You grant read-only AWS access (setup guide provided). We inventory SageMaker resources and the surrounding AWS services that support your ML workflow.

1
2

Cost + Security Analysis

Days 2–3

Review utilization and spend drivers (CloudWatch + cost data) and assess security posture across IAM, encryption, and network access. We identify quick wins and the highest-impact fixes.

Report & Roadmap

Day 4

Deliver a prioritized findings report with savings estimates, risk notes, and a clear remediation roadmap. Includes an executive summary plus technical details your team can action.

3
4

Readout & Next Steps

Day 5

30-minute readout of findings and recommendations. We align on next steps—your team implements, or we deploy the secure SageMaker baseline and provide optional monthly support.

Get in Touch

Start With a Free 15-Min Discovery Call

Tell us about your SageMaker or Bedrock setup and we'll recommend the right next step — whether that's a cost audit, full security coverage, or a baseline deployment.

We'll respond within 24–48 hours to schedule your call.