
AI-assisted SOC 2 and ISO 27001 compliance for small teams

AuditBadger is a compliance management platform designed for small teams and startups to prepare for SOC 2 and ISO 27001 audits without needing a dedicated compliance department. It organizes audit tasks into a clear to-do list, automates evidence collection from cloud services like AWS and GitHub, and provides AI assistance to draft policies and map controls. The platform includes founder-led onboarding, shared Slack support, and regular check-ins to help teams stay audit-ready and maintain compliance efficiently.
Run SOC 2 and ISO 27001 in one workspace with controls, evidence, ownership, and audit history kept together.
Connect AWS, GCP, Azure, and other services to collect audit evidence automatically on a schedule.
Get AI-generated policy drafts, control explanations, and evidence suggestions reviewed by humans.
Manage risk scoring, treatment planning, and audit-ready history within the platform.
Track security incidents, corrective actions, and lessons learned in the same system.
Maintain and test business continuity plans with owner accountability.
Track vendor risk and due diligence alongside internal controls and policies.
Publish a professional trust center with live compliance updates to reduce buyer friction.
Unlimited users, all frameworks and modules included, founder-led onboarding, shared Slack channel, regular check-ins
Your timeline depends on scope, existing practices, and team availability. Onboarding helps prioritize work. Preparation and audit are separate stages.
No. It helps get audit-ready and maintain compliance with evidence, policy reviews, risks, vendors, incidents, and audit history.
No. AuditBadger organizes and operates compliance programs but does not replace independent auditors, certification bodies, or consultants.
AuditBadger costs $250/month with unlimited users, including SOC 2 and ISO 27001 frameworks, AI assistance, and onboarding.
Yes. There is no required annual commitment; you can cancel anytime and export your data.
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