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Automating Pentests in CI/CD with Lory: Breaking Builds on Critical Flaws

Lorikeet Security Technical Team September 23, 2026 10 min read DevSecOps & CI/CD

In modern continuous deployment environments, engineering teams ship code multiple times a day. Relying on an annual point-in-time penetration test means that for 364 days of the year, your production environment operates with security blind spots introduced by hundreds of software releases.

Static analysis (SAST) and traditional vulnerability scanners help, but they cannot evaluate complex business logic, authorization boundaries, or multi-step exploit chains.

By integrating Lory AI directly into your CI/CD pipeline, DevSecOps teams can trigger targeted offensive penetration tests against staging deployments and pull requests, automatically gating releases based on real-world exploitability.

The DevSecOps Reality: Developers hate false positives. Lory does not break builds on theoretical warnings; Lory breaks builds only when it successfully executes a validated proof-of-concept (such as an IDOR data leak or SQL injection response) against your staging environment.

How Lory Executes in CI/CD Pipelines

Integrating Lory into GitHub Actions or GitLab CI is straightforward using our API and lightweight runner scripts:

  1. Trigger on Pull Request or Deploy: When a pull request is opened or code deploys to a staging preview URL, the pipeline invokes Lory's engagement endpoint.
  2. Surface Recon & Targeted Fan-Out: Lory runs a fast Layer 3 recon sweep followed by targeted vector testing (SQLi, IDOR, Auth bypass, SSRF).
  3. Policy Evaluation & Build Gating: If Lory discovers any vulnerability exceeding your configured CVSS threshold (e.g., CVSS ≥ 7.0), the pipeline halts and posts a rich Markdown finding report with curl commands directly into the GitHub PR conversation.

Example: GitHub Actions Workflow for Lory Pentesting

name: Lory Autonomous Security Gate on: pull_request: branches: [ main, staging ] jobs: security-gate: runs-on: ubuntu-latest steps: - name: Checkout Code uses: actions/checkout@v4 - name: Trigger Lory Engagement env: LORY_API_TOKEN: ${{ secrets.LORY_API_TOKEN }} TARGET_URL: "https://staging-pr-${{ github.event.number }}.example.com" run: | curl -s -X POST https://lorikeetsecurity.com/api/v1/engagements \ -H "Authorization: Bearer $LORY_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "target": "'"$TARGET_URL"'", "depth": "surface", "fail_on": "high" }' > lory_result.json EXIT_CODE=$(jq -r '.exit_code' lory_result.json) if [ "$EXIT_CODE" != "0" ]; then echo "Critical security findings discovered by Lory!" cat lory_result.json exit 1 fi

Automated 1-Click Retesting for Fast Verification

When an engineer commits a fix for a finding, Lory re-executes the exact attack payload that triggered the initial vulnerability. If the response confirms the weakness has been mitigated, the build gate clears automatically.

Shift Your Offensive Security Left with Lory

Stop waiting for annual pentest reports. Embed autonomous, human-verified penetration testing directly into your developer workflows with Lorikeet Security.

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Lorikeet Security

Lorikeet Security Team

Penetration Testing & Cybersecurity Consulting

Lorikeet Security helps modern engineering teams ship safer software. Our work spans web applications, APIs, cloud infrastructure, and AI-generated codebases — and everything we publish here comes from patterns we see in real client engagements.

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