For platform teams scaling AI coding

See what AI-assisted engineering can trigger before it reaches release.

Clyra maps one workflow from repository change to CI/CD job, credential, approval, and release action. See which controls are supported by evidence and what your team still needs to verify.

Map one workflow View a sample finding

Scope: one delivery workflow and up to 10 related AI-assisted PRs Privacy: local or private scan; no raw source retained by default Output: workflow map, evidence, open checks, and next action in 10 business days

Example release finding Alternate route unresolved

One approval. Two release routes.

Approval is evidenced on the expected path. A second publish path still needs verification.

Both routes can publish the same package, but only one shows approval evidence.

Expected route Approval evidenced

AI PR → release job → approval → OIDC → publish

Alternate route Needs verification

AI PR → publish job → NPM_TOKEN → publish

Control evidenced approval on expected route

Next check does approval cover the alternate route?

Observed in configuration: two publish routes and their credential references. Runtime enforcement still requires verification.

What the scan makes visible

Controls can be correct in isolation and still leave the path unclear.

Branch rules, CODEOWNERS, CI approvals, IAM, and audit logs each protect a point. Clyra connects their evidence across reachable routes to show whether a change can publish or deploy another way.

Detected facts stay separate from supported controls and unresolved evidence. Runtime execution and final approvals are not inferred from static files.

Open the redacted sample Trace it in the lab

Technical validation

Tested on a synthetic 320-repository environment.

Used to verify report generation, redaction, and configuration-drift handling. This is product validation, not customer evidence.

Review output

Five questions about one workflow.

Static evidence

AI-assisted PR→release workflow→NPM_TOKEN→package publish

What can change? Published package

Which credential or role? Standing NPM_TOKEN

Which control? Approval evidenced on expected route

What is unresolved? Equivalent gate on alternate job

What proof remains? Config references + approval evidence

Recommended next check Confirm that the alternate job requires equivalent approval, or remove its standing publish credential.

Representative redacted format. Static evidence shows reachability, not whether this route ran or bypassed a control.

Where the work starts

Use Clyra inside a rollout, AppSec, release, or audit review already underway.

The first review does not require a new governance program. It answers a concrete control or evidence question for one workflow.

AI rollout review

Claude Code, Cursor, Copilot, Codex, or internal agents are moving from suggestions into PRs and CI/CD.

AppSec or release review

A workflow can change CI jobs, call tools, use credentials, publish, deploy, or reach production.

Customer or audit question

A security questionnaire, SOC 2 review, or ITGC review asks how AI-assisted changes are controlled.

Incident or exception

The team needs to reconstruct what changed, which authority was available, who approved it, and what ran.

Have one workflow in mind? Map it privately in 10 business days.

Inputs can include its configuration, up to 10 related AI-assisted PRs, and read-only repository evidence.

Map one workflow

What changes for your team

Trace one workflow and see which controls apply.

Know what can happen

See which AI-assisted or agent-accessible path can write, run, use credentials, publish, or deploy.

Decision: review this path first

Verify the coverage

Connect repository rules, CI/CD gates, identity, and approvals to the complete route.

Decision: keep fast, review, approve, or block

Leave with evidence

Share the owner, authority, approval, validation, outcome evidence, and unresolved items.

Result: Agent Action BOM + proof record

Trust and scope

Your controls stay in place. Clyra tests whether they cover the workflow.

GitHub, GitLab, CI/CD, IAM, secrets, and approval systems remain the control points. Clyra connects their evidence around one workflow. See how the coverage differs.

Your AI policy may require review. Clyra checks whether the available evidence verifies that requirement on paths that can write, use credentials, publish, or deploy.

Shared review question Can this AI-assisted change trigger a credentialed job or release action, and what proves the right control applies?

Operational ownerPlatform, DevEx, release engineering

Technical reviewerAppSec and security engineering

Decision makerVP Engineering, CTO, or CISO

Evidence userAudit, GRC, and customer trust

Existing controls count

Repository rules, CODEOWNERS, CI/CD gates, environment approvals, identity controls, and security tools are recognized when evidence supports them. Unverified coverage stays unresolved rather than being called missing.

Publish and deploy paths first

Source-only and low-impact work stays separate from changes that can run jobs, use credentials, call tools, publish, deploy, or affect production. Static reachability is kept separate from runtime outcomes and final approvals.

Private, fixed first engagement

Local or private scanning comes first. Raw source is not retained unless explicitly agreed. Start with one workflow; up to 10 related AI-assisted PRs can support a decision-ready finding.

Useful before a call

Start with a real finding.

Review the deliverable, trace a simulated release path, or use the checklist in an AI rollout or AppSec conversation.

Sample finding Redacted workflow review

See the path, reachable credential, existing control evidence, unresolved item, and next check.

Interactive lab Trace a release path

Build a simulated AI-assisted change through CI/CD, credentials, approval, and release.

Review checklist Check one AI coding workflow

Review workflow files, jobs, tools, credentials, approvals, and evidence without slowing every PR.

Field notes Research behind Clyra

Technical notes on AI-assisted delivery, control coverage, authority, and evidence.

FAQ

What teams usually ask before the first review.

Practical answers for platform, engineering, security, release, and trust reviewers.

What does Clyra assess?

Clyra maps one AI-assisted workflow from repository change to CI/CD job, credential, approval, and release action. It shows which controls are supported by available evidence and what the team still needs to verify.

Does Clyra replace GitHub, CI/CD, IAM, or security tools?

No. Those systems remain the control points. Clyra connects their evidence around one workflow so the team can verify whether the change-to-release path is covered.

Will this slow developers down?

It should not. Normal development stays fast. Review focuses on changes that can alter workflows, use credentials, call tools, publish, deploy, or affect production.

What does the team receive?

You receive a workflow map, supporting evidence, open checks, and a recommended next action. The Agent Action BOM keeps the supporting record in one review-ready format.

How does the first engagement start?

Start with one workflow near CI/CD, credentials, publishing, or deployment. Inputs can include its configuration, up to 10 related AI-assisted PRs, and read-only repository evidence. Agree on local or private access, then receive the review in 10 business days after scope and access are confirmed.

10-business-day workflow security review

Map one AI-assisted delivery workflow.

Use the review for an AI rollout, AppSec review, release review, audit request, or customer assurance question. Typical delivery is 10 business days after scope and access are confirmed.

Bring one workflow near CI/CD, tools, credentials, or release; up to 10 related PRs can support the review

Get a map of reachable jobs, credentials, approvals, and release actions, plus what still needs verification

Map one workflow View a sample finding