Action path map
Shows how a request or workflow reaches credentials, CI/CD jobs, tools, release actions, approvals, and evidence.
For teams scaling AI-assisted software delivery
Know what AI-assisted workflows can change before you let them do more.
AI-assisted software delivery now reaches PRs, CI/CD, tools, credentials, and release paths. Clyra shows what those workflows can actually change.
Grounded in private production repo and workflow assessments. Local/private scan first; no raw source retained by default.
Where the risk starts
A normal PR can change code. It can also change the workflow that uses a release token.
AI tool
PR
release.yml
NPM_TOKEN
npm publish
no visible approval/proof
Clyra maps that delegated action path so teams can see what can happen first.
System view
Inventory shows tools. The path shows reach.
Approved-tool lists show what teams are allowed to use. They do not show whether an AI-assisted workflow can reach credentials, trigger CI/CD, publish packages, or bypass approval. Clyra connects those signals into one delegated action path.
What you get
A path map, a BOM, and an evidence packet.
Clyra turns one workflow into three reviewable outputs: an action path map, an Agent Action BOM, and an evidence packet.
Agent Action BOM
Summarizes the path, reachable credential, target, approval status, evidence, and the run / review / approve / block decision.
Evidence packet
The receipt for high-impact workflow changes: owner, credential source, approval decision, validation, outcome, and open items.
Why teams care
One map for the teams responsible for AI-assisted software delivery.
Approved-tool policies say what should happen. The delivery environment decides what can actually happen. Clyra gives teams one map for deciding which AI-assisted workflows can run alone, need review, need approval, or should be blocked.
Shared question: can this workflow write, execute, use credentials, call tools, deploy, or touch production?
Engineering leadership
Keep AI coding adoption moving without losing track of which workflows can change real systems.
Platform and DevEx
Give teams AI speed without creating invisible CI/CD, credential, and release risk.
Release, audit, and customer trust
Answer customer, audit, or incident questions with evidence instead of tribal knowledge.
How it works
Map. Decide. Prove.
Map one workflow
Start with one PR, workflow file, MCP config, package script, or release path near CI/CD, tools, credentials, or production.
Decide the boundary
Clyra shows what can run alone, what needs review, what needs approval, and what should be blocked before the sensitive action.
Prove what happened
The output is an action path map, Agent Action BOM, and evidence packet the team can use in review, audit, or incident follow-up.
Coverage and limits
Clear about privacy, existing controls, and limits.
Approved-tool lists are a starting point. Workflow-level decisions need reachable paths, visible approvals, and evidence from connected systems. Clyra ties those signals to the delegated action path.
Clyra Control is
An action-control platform that turns AI-assisted delivery paths into evidence a team can review.
Clyra Control is not
A generic AI inventory, SIEM, IAM, PAM, CNAPP, GRC tool, model gateway, or CI/CD replacement. Those controls matter; the path shows where they are used to change systems.
Existing controls
Existing controls are not treated as missing by default. Each path is resolved as detected, declared, externally referenced, not applicable, or unresolved based on evidence.
Not every path is high risk
Source-only, non-prod, and low-impact workflows are separated from paths that can write, execute, use credentials, deploy, publish, or affect production.
Source privacy
Local or private scanning comes first. Raw source is not retained unless explicitly agreed; the useful output is a redacted graph, BOM, and evidence packet.
Coverage limits
Static discovery can show reachable paths and missing approval evidence. Runtime enforcement, final outcome verification, and cloud/IAM depth depend on connected systems.
FAQ
Short answers for engineering, platform, and release reviewers.
Practical answers for teams deciding what stays fast, what needs approval, and what evidence should remain after AI-assisted work reaches delivery systems.
What is Clyra Control?
Clyra Control helps teams see what an AI-assisted software delivery workflow can change: which repo, workflow, credential, tool, release path, approval, and evidence are involved.
What problem does Clyra Control solve?
Approved-tool policies are useful, but they do not show whether the delivery environment actually enforces the boundary. Clyra shows when AI-assisted work can change workflow files, reach CI/CD secrets, call tools, publish packages, run cloud commands, or trigger release automation.
Will this slow developers down?
No. Normal coding should stay fast. Review should focus on actions that can use credentials, change workflows, call tools, deploy, publish, or affect production.
Can AI coding agents access 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, or release path that later runs with CI/CD secrets or release credentials.
How should teams approve AI-generated PRs?
Normal code review should stay fast. Approval should become explicit when the PR can change workflow files, use credentials, call tools, deploy, publish, run cloud commands, or affect production.
What evidence should AI-assisted software delivery leave?
Teams should keep evidence of the actor, workflow, changed files, reachable credential, target action, owner, approval reason, validation, outcome, and any unresolved gaps.
How is Clyra different from secret scanning, IAM, NHI, PAM, agent gateways, or monitoring?
Those tools find secrets, identities, permissions, runtime decisions, or activity after the fact. Clyra ties them back to the engineering path: where work came from, what it can affect, and whether approval or evidence exists.
Get started
Start with one workflow or 10 recent AI-assisted PRs.
Clyra shows what changed, which credentials or release paths were reachable, and what approval or evidence remains before teams expand the pattern.
Bring
one workflow or 10 AI-assisted PRs near CI/CD, tools, credentials, or releases
Get
action path, credential reach, approval gaps, Agent Action BOM, and evidence packet