Ready to Stop Spending Weeks on SOC 2 Audit Prep?

The fastest Evidence Tracer Agent built exclusively for AWS—making SOC 2 compliance accessible and efficient for modern audit prep teams

Purpose-Built for AWS-Native SaaS & Fintech

We're laser-focused on building the fastest, most efficient SOC 2 evidence automation tool specifically for AWS-native SaaS & Fintech companies. Our Evidence Tracer Agent is purpose-built for AWS environments—automatically collecting, analyzing, and mapping your CloudTrail, IAM, S3, and Config data to SOC 2 controls.

Bottom Line.
We do one thing exceptionally well: eliminate manual SOC 2 evidence collection for audit prep teams running on AWS infrastructure.

The Problem We’re Solving

The Big Dilemma.

AWS-native SaaS and Fintech companies are spending 40+ hours per audit cycle manually collecting SOC 2 evidence—costing an average of $15,000-25,000 in engineering time alone. Teams dig through CloudTrail logs, analyze IAM configurations, review S3 policies, and cross-reference Config rules—all by hand.

This manual process is:

- Time-intensive: Weeks of preparation for each audit

- Error-prone: Easy to miss critical evidence or compliance gaps

- Reactive: Only happens when an audit is approaching

- Resource-heavy: Takes engineers away from building product

- Expensive: $15K-25K in opportunity cost per audit cycle

The Big Solution.

The Fastest AWS Evidence Tracer Agent available. Processing 1000+ evidence items and mapping them to SOC 2 controls automatically.

We've built the most efficient AI-powered agent exclusively for AWS environments that automatically:

- Collects evidence from CloudTrail, IAM, S3, and AWS Config at lightning speed

- Analyzes configurations for compliance gaps using AWS-optimized algorithms

- Maps everything to specific SOC 2 controls in real-time

- Generates audit-ready reports faster than any manual process

Result: The fastest evidence processing available for AWS— spending minutes to process what audit prep teams spend 40+ hours collecting manually.