Capture
Record supported agent sessions, prompts, responses, tool activity, refusals, developer identity, and repository context.
Secuarden Change Assurance
Connect developer intent, coding-agent activity, policy decisions, approvals, and exact code changes in one inspectable record.
For security, engineering, and compliance teams governing AI-generated code.
The missing change history
AI coding agents can influence production code across developer machines, repositories, pull requests, and delivery pipelines. Standard commit history records the final result but not the prompt, agent activity, rejected suggestions, policy decisions, or approval evidence behind it.
Capabilities
Record supported agent sessions, prompts, responses, tool activity, refusals, developer identity, and repository context.
Apply repository policies, permission boundaries, required approvals, and deterministic gates.
Link agent activity and human intent to the exact files, pull requests, commits, and repositories affected.
Export tamper-evident evidence for audit, compliance, investigation, and change-management review.
Workflow
Supported coding-agent activity is recorded with the relevant developer and repository context.
Risk signals, repository policy, permissions, and approval requirements are applied.
Security and engineering teams inspect what was requested, what the agent did, and what was accepted.
The session is connected to the pull request, commit, files changed, and final review decision.
Produce evidence for audits, incident review, compliance preparation, and internal governance.
Two complementary product lines
| Focus | Code Intelligence | Change Assurance |
|---|---|---|
| Primary job | Finds code risks | Tracks change provenance |
| Review | Reviews pull requests and explains vulnerabilities | Records agent and human activity |
| Outcome | Suggests remediation and helps developers fix code | Shows how code was produced and captures approvals and policy decisions |
| Value | Improves the security review of a change | Helps teams prove control over the change |
Together, Code Intelligence and Change Assurance connect code-level risk review with the provenance and governance evidence around the change.
Context BOM
A Context BOM records the human instruction, agent activity, review decision, files touched, and change references associated with an AI-assisted session.
An AI-BOM tells you what AI systems are in your environment. A Context BOM tells you what got into your code.
Read the Context BOM specification →Who it is for
Identify high-risk AI-assisted changes and investigate how they were produced.
Set consistent controls for coding agents without blocking useful development workflows.
Produce evidence of identity, authorization, review, approval, and change control.
Support governance across fintech, healthtech, critical infrastructure, and other controlled environments.
Control evidence
Secuarden helps teams assemble technical evidence relevant to change management, access control, software development, and AI governance programs.
Secuarden does not automatically make an organisation compliant. Your applicable requirements, controls, processes, and human review still determine compliance.
Enterprise rollout
Deployment planning covers what data is captured, whether source code is stored, configurable redaction, evidence storage, offline verification where applicable, supported coding agents, retention, GitHub and CI integrations, and permission requirements.
Deployment-specific data handling, retention, and integration details are reviewed during the enterprise evaluation.
Frequently asked questions
AI code governance is the set of controls and evidence used to understand, review, approve, and manage AI-assisted software changes.
Change Assurance connects developer intent, coding-agent activity, policy decisions, approvals, and exact code changes in one inspectable record.
Code scanning finds code risks, reviews pull requests, explains vulnerabilities, and suggests remediation. Change Assurance tracks how a change was produced and governed, including agent and human activity, approvals, and policy decisions. The two product lines complement each other.
A Context BOM records the human instruction, agent activity, review decision, files touched, and change references associated with an AI-assisted session. An AI-BOM tells you what AI systems are in your environment. A Context BOM tells you what got into your code.
The Context BOM describes the prompt and decision trail behind an AI-assisted change, including what a developer accepted or declined. The exact activity captured depends on the supported coding-agent integrations and deployment configuration.
Secuarden CLI can verify captured session evidence offline. Offline verification for a broader Change Assurance deployment depends on the evidence and integrations in that deployment.
Supported coding agents depend on the deployment and current integrations. Confirm the supported-agent list during the enterprise evaluation.
No. Secuarden helps teams assemble technical evidence relevant to change management, access control, software development, and AI governance programs. Compliance also depends on your requirements, controls, processes, and review.
The CLI is designed so no source code leaves your environment. Deployment-specific source-code handling, evidence storage, retention, and redaction details are reviewed during the enterprise evaluation.
Secuarden connects evidence to repositories, pull requests, commits, files changed, and delivery pipelines where the relevant integrations and permissions are configured. Confirm deployment-specific GitHub and CI integration details during the enterprise evaluation.
Change Assurance
See how Secuarden connects intent, agent activity, policy, review, and code evidence across your software delivery workflow.