
Arden
ActiveAI agents that automate SOX control testing.
About
Arden is the AI-native platform for internal audit and SOX teams. We build AI agents that automatically pull evidence from your stack, test controls end-to-end, and produce audit-ready workpapers in minutes instead of weeks. Internal audit is a massive but underserved market. Every public company in the US is required to do SOX testing, yet teams still run it through spreadsheets and screenshots. Arden is the engine that does this work.
Founders Β· 2
Co-Founder & CEO @ Arden. Previously worked on AI @ Databricks and studied CS & Data Science @ UC Berkeley. Co-authored NeurIPS 2025 research on privacy-preserving ML for autonomous systems.
Co-Founder & CTO @ Arden. Previously AI @ MIT and co-founder of Blueprint. Conducted research at MIT CSAIL and DUSP on LLM post-training and applied AI systems.
Launch
Run your audits in minutes, not weeks
Arden launches an AI-native platform for audit and SOX teams that connects to a companyβs control library and systems to run tests, gather evidence, chase owners, and produce workpapers for external auditors. It targets public tech companies and aims to reduce audit cycle time and labor by automating end-to-end audit workflows.
Formerly βVerisβ
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