The governance engine for the agentic software development lifecycle.
As AI coding agents move from experiment to production, a chain-of-custody gap has opened between the tools that scan code and the platforms that prove compliance. Code scanners tell you what is wrong. GRC platforms tell auditors that you're compliant. Neither captures the one thing regulators are starting to ask about: what the developer actually asked the agent to do — and what the agent refused.
Secuarden sits in that gap. We capture every agent interaction as append-only, audit-grade evidence: prompts, responses, model versions, tool calls, and refusals. We score it through our Context Confidence Rating across pull request, repository, and portfolio levels. The result is legally defensible evidence of how AI-authored code came to exist — not another dashboard of alerts.
We believe the next decade of software will be written by agents — and that someone has to be able to prove it was written responsibly.
We're built for regulated industries where "the AI wrote it" is not an acceptable answer to an auditor. Our composite audit surface maps to the frameworks engineering teams in fintech, healthtech, and critical infrastructure are already audited against.
Secuarden was founded on more than 20 years of combined experience across secure architecture, cloud security, and applied AI security research at companies including Microsoft and GE.
If your auditor is about to ask how AI writes your code, let's talk.
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