Claude Code, Cursor, Copilot, Codex, or internal agents are moving from suggestions into PRs and CI/CD.
For platform teams scaling AI coding
See what AI-assisted engineering can trigger before it reaches release.
Clyra follows AI-assisted delivery paths through repositories, CI/CD, credentials, approvals, and release actions. See which paths can write, publish, or deploy, which controls are supported by evidence, and what still needs verification.
Start with one workflow, recent AI-assisted PRs, or a read-only repository scan
Local/private scan; no raw source retained by default
Findings and evidence delivered in 10 business days
What the scan makes visible
An approved tool is not the same as a controlled delivery path.
Clyra inventories supported AI tooling, agent and MCP surfaces, and delivery workflows, then follows consequential paths through repository changes, CI/CD jobs, credential references, and release actions.
Detected facts stay separate from supported controls and unresolved evidence. Runtime execution and final approvals are not inferred from static files.
Technical validation
Tested beyond a single demo repository.
Clyra's release tests use a synthetic 320-repository environment to test report readability, redaction, drift detection, and proof-record completeness. No customer data is used.
- 320
- synthetic repositories
- 150
- action paths summarized
- 1,646
- proof records generated
Where the work starts
Use Clyra inside a rollout, AppSec, release, or audit review already underway.
The first assessment does not require a new governance program. It answers a concrete control or evidence question for one workflow.
A workflow can change CI jobs, call tools, use credentials, publish, deploy, or reach production.
A security questionnaire, SOC 2 review, or ITGC review asks how AI-assisted changes are controlled.
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.
Map one workflow
Start with one workflow, recent AI-assisted PRs, or read-only repository access.
What changes for your team
Find the path. Verify the control. Leave with evidence.
The assessment turns repository and workflow evidence into three decisions your platform, security, release, and trust teams can use.
Know what can happen
See which AI-assisted or agent-accessible paths can write, run, use credentials, publish, or deploy, and which path merits review first.
Decision: review this path first
See whether controls apply
Connect repository rules, reviewers, CI/CD gates, and approvals to the complete path, then isolate what still needs verification.
Decision: keep fast, review, approve, or block
Answer with evidence
Share the owner, changed files, authority, approval, validation, outcome evidence, and unresolved items without rebuilding the story from screenshots.
Result: Agent Action BOM + proof record
Who uses the finding
One workflow map, four practical decisions.
The same finding gives each team the evidence it needs without forcing a new governance program or replacing existing controls.
Can this AI-assisted change trigger a credentialed job or release action, and what proves the right control applies?
Platform and DevEx
Expand AI coding while seeing where CI/CD, credential, or release reach needs a narrow guardrail.
Engineering leadership
Decide where agents can do more and focus review time on changes that can affect real systems.
AppSec and security
Verify whether repository, identity, CI/CD, and approval controls cover the complete workflow.
Risk, audit, and customer trust
Answer review questions with a traceable record of authority, approval, validation, and unresolved evidence.
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.
Existing controls count
Repository rules, CODEOWNERS, CI/CD gates, environment approvals, identity controls, and security tools are recognized when evidence supports them.
Unknown is not missing
Each control is marked detected, declared, externally verified, not applicable, or unresolved. Static visibility is not overstated as proof.
Consequential 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.
Private by default
Local or private scanning comes first. Raw source is not retained unless explicitly agreed; the deliverable is a redacted map and evidence record.
Honest coverage limits
Static analysis can show reachable paths. Runtime outcomes, final approvals, and cloud/IAM depth require evidence from connected systems.
Fixed first engagement
Start with one workflow or 10 recent AI-assisted PRs. The goal is a decision-ready finding, not a platform replacement project.
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 assessment
See the path, reachable credential, existing control evidence, unresolved item, and next check.
Interactive lab Trace a release pathBuild a simulated AI-assisted change through CI/CD, credentials, approval, and release.
Review checklist Check one AI coding workflowReview workflow files, jobs, tools, credentials, approvals, and evidence without slowing every PR.
Field notes Research behind ClyraTechnical notes on AI-assisted delivery, control coverage, authority, and evidence.
FAQ
What teams usually ask before the first assessment.
Practical answers for platform, engineering, security, release, and trust reviewers.
What does Clyra assess?
Clyra inventories supported AI tooling, agent and MCP surfaces, and delivery workflows across repositories and CI/CD. It prioritizes paths that can write, use credentials, publish, or deploy, then shows which controls are supported by evidence and what remains unresolved on one path.
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.
Can an AI-assisted change reach CI/CD secrets?
Sometimes indirectly. The agent may not read a secret directly, but an AI-assisted PR can change a workflow, package script, tool config, agent instruction, or release path that later runs with CI/CD secrets or release credentials.
What does the team receive?
A supported AI tooling and delivery-surface inventory, workflow reach map, credential and release-path analysis, existing control coverage, unresolved evidence, a prioritized next step, and a review-ready Agent Action BOM with an offline-verifiable proof record.
What can a static scan prove?
It can show reachable code and configuration paths. Runtime outcomes, final approvals, and cloud/IAM details require connected-system evidence, so Clyra marks those items unresolved until verified.
Does unresolved mean a control is missing?
No. Unresolved means the available evidence does not yet verify that the control exists or applies to that path.
Can Clyra prove a change was AI-generated?
Only when reliable provenance exists. Otherwise, Clyra describes the workflow as AI-assisted or agent-accessible and does not claim authorship.
How is Clyra tested for larger repository environments?
Current technical validation uses a synthetic 320-repository environment to test report readability, redaction, drift detection, and proof-record completeness. It is technical validation rather than customer evidence, and it uses no customer data.
How does the first engagement start?
Start with one consequential workflow, recent AI-assisted PRs, or a read-only repository scan. Agree on local or private access, then receive the assessment in 10 business days after scope and access are confirmed.
10-business-day assessment
Map one AI-assisted delivery workflow.
Use the assessment 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 consequential workflow or 10 recent AI-assisted PRs near CI/CD, tools, credentials, or release
Get
reachable jobs and actions, credential reach, control coverage, unresolved evidence, and a prioritized next step