Secuarden Change Assurance

Track how AI-assisted code changes were created and approved.

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

Git shows what changed. It does not show how the change was created.

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.

Human intent
Agent activity
Policy decision
Human review
Code change
Audit evidence

Capabilities

From agent activity to audit-ready evidence.

01 / CAPTURE

Capture

Record supported agent sessions, prompts, responses, tool activity, refusals, developer identity, and repository context.

02 / CONTROL

Control

Apply repository policies, permission boundaries, required approvals, and deterministic gates.

03 / VERIFY

Verify

Link agent activity and human intent to the exact files, pull requests, commits, and repositories affected.

04 / PROVE

Prove

Export tamper-evident evidence for audit, compliance, investigation, and change-management review.

Workflow

From agent session to audit-ready evidence

01

Capture the session

Supported coding-agent activity is recorded with the relevant developer and repository context.

02

Evaluate the change

Risk signals, repository policy, permissions, and approval requirements are applied.

03

Review the evidence

Security and engineering teams inspect what was requested, what the agent did, and what was accepted.

04

Link the outcome

The session is connected to the pull request, commit, files changed, and final review decision.

05

Export the record

Produce evidence for audits, incident review, compliance preparation, and internal governance.

Two complementary product lines

Code security tells you what is risky. Change Assurance tells you how the change was governed.

Comparison of Code Intelligence and Change Assurance
FocusCode IntelligenceChange Assurance
Primary jobFinds code risksTracks change provenance
ReviewReviews pull requests and explains vulnerabilitiesRecords agent and human activity
OutcomeSuggests remediation and helps developers fix codeShows how code was produced and captures approvals and policy decisions
ValueImproves the security review of a changeHelps 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

Create a chain of custody for AI-assisted development.

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

Built for teams responsible for safe, explainable software changes.

Security teams

Identify high-risk AI-assisted changes and investigate how they were produced.

Engineering leaders

Set consistent controls for coding agents without blocking useful development workflows.

Compliance and audit teams

Produce evidence of identity, authorization, review, approval, and change control.

Regulated companies

Support governance across fintech, healthtech, critical infrastructure, and other controlled environments.

Control evidence

Evidence that supports the controls you already manage.

Secuarden helps teams assemble technical evidence relevant to change management, access control, software development, and AI governance programs.

SOC 2 CC8.1ISO 27001PCI DSS 4.0NIST SSDFNIST AI RMFEU AI Act

Secuarden does not automatically make an organisation compliant. Your applicable requirements, controls, processes, and human review still determine compliance.

Enterprise rollout

Designed for controlled 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

Questions teams ask before rollout.

What is AI code governance?

AI code governance is the set of controls and evidence used to understand, review, approve, and manage AI-assisted software changes.

What is Change Assurance?

Change Assurance connects developer intent, coding-agent activity, policy decisions, approvals, and exact code changes in one inspectable record.

How is Change Assurance different from code scanning?

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.

What is a 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.

Does Secuarden record prompts and agent responses?

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.

Can evidence be verified offline?

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.

Which coding agents are supported?

Supported coding agents depend on the deployment and current integrations. Confirm the supported-agent list during the enterprise evaluation.

Does Change Assurance make us compliant?

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.

Does Secuarden store source code?

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.

Can Change Assurance work with existing GitHub and CI workflows?

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

Make every AI-assisted change explainable.

See how Secuarden connects intent, agent activity, policy, review, and code evidence across your software delivery workflow.