Clyra

Paid 10-business-day workflow security review

Review one AI-assisted engineering workflow in 10 business days.

Clyra reviews one workflow and up to 10 related PRs to identify the jobs it can trigger, credentials it can use, systems it can change, and missing approvals or records.

Last updated: August 3, 2026

This review is for teams that already allow AI-assisted work into PRs, CI/CD, tools, credentials, or cloud paths. It shows which jobs can run, which credentials they can use, what approval applies, and what evidence is missing.

What you get

Workflow map

The selected path from PR to CI job, credential, approval, and publish or deploy action.

Control review

Which repository rules, CI/CD gates, identity controls, and approvals are supported by evidence, and what still needs verification.

Recommended next actions

The highest-priority approval, credential, ownership, or logging changes. The Agent Action BOM is the shareable record of the review. See a redacted sample.

When one workflow map is useful

  • Your engineering teams are using Cursor, Claude Code, Codex, GitHub Copilot, Devin, Factory, MCP tools, or internal agents.
  • You want AI coding adoption to move faster without losing review discipline or evidence.
  • You have CI/CD, release, cloud, package, or credential-bearing workflows that need a clearer action boundary.
  • You need an evidence packet for customer review, SOC 2, ISO 27001, or incident readiness.
  • You want to start with one team or workflow before a broader platform rollout.

When it is probably too early

  • AI coding tools are not yet approved or used in engineering workflows.
  • The team only wants a generic AI policy document.
  • The immediate concern is model evaluation, prompt filtering, or chatbot data leakage rather than software delivery actions.
  • No one owns platform engineering, DevEx, release engineering, secure SDLC, or security review.

How Clyra maps the workflow

Clyra starts with one workflow and produces a review the team can use immediately: the reachable jobs and credentials, the controls supported by evidence, and the highest-priority next actions. The Agent Action BOM keeps that record shareable.

  1. Select the path: choose one team, repo set, or workflow family close to PRs, CI/CD, credentials, tools, releases, or systems that affect production.
  2. Trace the workflow: connect the change, job, credential, reachable action, target, approval, and available evidence.
  3. Review the finding: decide which existing controls are supported, what still needs verification, and which approval, credential, ownership, or logging change comes first.

What to start with

  • One team, repo set, or workflow family close to PRs, CI/CD, release, package publishing, cloud, or internal tools.
  • Known AI coding tools or agents in use, including Cursor, Claude Code, Codex, Copilot, MCP tools, CI bots, or internal agents.
  • Any sensitive delivery paths reviewers already care about: secrets, package tokens, deploy jobs, signing keys, migrations, or customer-facing tools.
  • Privacy constraints for local or private scanning and what can be included in the redacted readout.

Source privacy

Clyra can start from local or private scanning. Raw source is not retained unless explicitly agreed. The output is a redacted workflow record that engineering, platform, and security reviewers can share internally.

Request a workflow review.

Pick one workflow where AI-assisted delivery is already close to PRs, CI/CD, credentials, tools, publishing, or deployment.

Map one workflow