The assurance layer for AI-assisted software development.
Secuarden connects human intent, coding-agent activity, policy decisions and exact code changes into one verifiable chain. Govern agent actions before changes are accepted, then produce evidence your security and audit teams can trust.
Supported agent activity bound to people, repositories and code changes.
A 0–100 measure of observed evidence completeness and control coverage.
Deterministic permission boundaries, approvals and policy gates.
Capture supported coding-agent activity, verify append-only evidence offline and export an AI Bill of Materials. Policy-gate enforcement joins the platform in August 2026.
Explore Secuarden CLI$ secuarden verify ✓ Audit trail integrity verified $ secuarden bom --since 30d ✓ AI-BOM exported $ secuarden gate --since 24h --fail-on high ✓ Policy gate passed
You already track what's in your software. A Software BOM lists your dependencies. An AI-BOM inventories the AI systems in your environment.
Neither tells you how your code was actually written.
A Context BOM is a per-session record of what shaped a change — the human instruction, agent activity, review decision and files touched.
An AI-BOM tells you what's in your environment. A Context BOM tells you what got into your code.
For supported coding-agent workflows, Secuarden produces one automatically. Together they form a tamper-evident chain of custody that can be mapped to change-management and AI-governance controls.
Read the Context BOM spec →Coding agents operate across developer machines, repositories and delivery pipelines, but their activity is disconnected from enterprise controls and the code that ultimately ships. The resulting evidence remains fragmented across agent, repository, scanner and GRC systems.
AI-assisted development expands the evidence required to demonstrate identity, authorization, review, data handling and change control.
| # | Auditor question | Your current Tooling |
|---|---|---|
| 01 | List every AI coding tool used by engineering — vendor name, contract type, and attestation date. | Partial |
| 02 | Show me the data egress policy that governs what your developers paste into AI prompts. | Not today |
| 03 | Pull a sample of 10 production commits from the audit window and identify which were AI-assisted. | Yes |
| 04 | Show the review record for each AI-assisted commit — reviewer identity, approval timestamp, and risk classification. | Yes |
| 05 | Demonstrate that customer data classified as confidential or above did not enter a third-party model during the audit window. | Not today |
Secuarden supplies the technical provenance and control evidence needed to answer these questions.
Secuarden is the missing assurance layer across the agentic SDLC—connecting developer intent, agent action, policy outcomes and the exact code shipped.
Authenticate the human, agent and session. Apply permission boundaries, deterministic policy gates and required approvals before a change is accepted.
Link agent activity and developer intent to the exact code change, detect control signals and calculate CCR™ evidence confidence.
Preserve tamper-evident records across repositories, surface control gaps and produce framework-mapped, audit-ready evidence exports.
Append-only session records connect human instructions, agent and tool activity, refusals and resulting changes to the relevant repository workflow.
Configurable redaction protects sensitive content while preserving the evidence required for review and audit.
Paste any public GitHub repo. We analyse commit patterns, PR metadata, and AI attribution signals — no login required.
You'll see what your auditor will eventually ask about. Most teams are surprised.
We're selecting regulated fintech and healthtech design partners for a focused 60–90 day pilot across 3–5 repositories.
See the live provenance and evidence platform now, then help shape deterministic policy enforcement ahead of its August 2026 launch.