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Continuous PR-Level Security Agent for CI/CD
An automated AI security tool integrated directly into GitHub Actions that tests for business logic and post-login vulnerabilities on every pull request. It provides an immediate audit trail from exploit proof to a ready-to-use Cursor/Copilot fix prompt before code is merged.
Why this matters
You are a lead developer at a fast-moving SaaS startup. You know your application has business logic flaws and broken access controls, but you cannot afford a fifty-thousand-dollar annual manual pentest. Standard static scanners just throw generic warnings about dependencies and completely fail to analyze what happens after a user logs in. Worse, when a scanner does find something, the handoff is messy: you get a vague PDF report with no proof of exploitability, leaving your team guessing how to actually write the patch securely.
- · Built for Engineering managers and Lead Developers at mid-sized SaaS companies without dedicated security teams..
- · Most likely monetization: SaaS subscription based on developer seats or scan volume.
The Pain · Narrative
You are a lead developer at a fast-moving SaaS startup. You know your application has business logic flaws and broken access controls, but you cannot afford a fifty-thousand-dollar annual manual pentest. Standard static scanners just throw generic warnings about dependencies and completely fail to analyze what happens after a user logs in. Worse, when a scanner does find something, the handoff is messy: you get a vague PDF report with no proof of exploitability, leaving your team guessing how to actually write the patch securely.
Score Breakdown
Market Signal
Go-to-Market
Lead developers and engineering managers at Series A/B SaaS startups using GitHub Actions.
~150,000 engineering teams globally fitting this profile.
GitHub Marketplace and Twitter dev community.
$299/month for the team plan.
10 teams installing the GitHub App and keeping it active for 14 days.
MVP Scope · 1–2 weeks
- Register a new GitHub App and set up webhook listeners for PR events.
- Build a basic Node.js service to receive webhooks and clone the target repository.
- Integrate an open-source static analyzer (like Semgrep) to identify basic flaws.
- Draft a specialized LLM prompt that takes scanner output and generates a suggested code fix.
- Create a function to post the findings and fix suggestions back as a GitHub PR comment.
- Implement basic Playwright scripts to capture authenticated sessions for dynamic scanning.
- Integrate OpenAI API to evaluate dynamic responses for simple IDOR vulnerabilities.
- Refine the PR comment formatting to include clear 'Exploit Proof' and 'Suggested Patch' sections.
- Set up Stripe billing and a basic landing page explaining the PR-level security value.
- Onboard 3 friendly beta testers to run the app on their non-production repositories.
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The scans take too long (e.g., over 15 minutes), causing developers to bypass the check to merge code faster.
- 2The AI generates hallucinations in its remediation prompts, accidentally introducing new security flaws.
- 3Teams find it too difficult to configure the necessary authenticated state testing for their specific app.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Multiple developers expressed a strong desire for security testing integrated directly into CI/CD pipelines. They highlighted that traditional scanners struggle with authenticated post-login flows and that the handoff from finding a vulnerability to verifying and fixing it is typically messy. Users also raised concerns about AI agents causing destructive actions in production, strongly supporting a shift-left approach focused on staging environments and pull requests.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Continuous PR-Level Security Agent for CI/CD
Sub-headline
An automated AI security tool integrated directly into GitHub Actions that tests for business logic and post-login vulnerabilities on every pull request. It provides an immediate audit trail from exploit proof to a ready-to-use Cursor/Copilot fix prompt before code is merged.
Who It's For
For Engineering managers and Lead Developers at mid-sized SaaS companies without dedicated security teams.
Feature List
✓ GitHub App integration triggering on PR creation ✓ Automated ephemeral staging environment scanning ✓ PR commenting bot with exploit proof and IDE-ready fix snippets ✓ Strict 'Safe Mode' policies to prevent destructive database queries
Where to Validate
Share your landing page in r/Product Hunt · saas — that's exactly where these pain points were discovered.
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