Robochicken

Automated vulnerability remediation

Your scanner found the fire. Robochicken puts it out, and your engineers get their time back.

Become a Design Partner See How It Works

  • Built inside Yembo’s ISO 27001 and SOC 2 Type II program. See the trust center
  • Monitors hundreds of CVEs a week at Yembo
  • From a CTO with 31 granted US patents
  • A fix only counts once the re-scan confirms it

Finding the vulnerability stopped being the hard part

Your scanner runs every day. An AI pentest that used to take a consultant two weeks now finishes in hours, and it hands you the file and the line number. Discovery got cheap.

Fixing didn’t.

Every finding still lands on an engineer who’s already committed to the roadmap. Most teams your size don’t have an application security engineer, so a validated SQL injection becomes a ticket, the ticket ages, and the auditor asks about it in six weeks.

A finding nobody fixes is a liability with a timestamp on it.

Your scanner keeps finding more. Robochicken takes them down oldest first, and the re-scan proves it.

Static autofix

Fixes what a code scanner suspects, then re-runs the code scanner. Proof that a warning went away. Good tools exist for this, and you may already pay for one.

Robochicken

Fixes what a runtime test proved, in code, IaC, or config, then re-runs the attack against your deployed app. Proof that the hole is closed, with the evidence your auditor wants.

See the side-by-side comparison with GitHub autofix and Pixee.

Every fix is tested before you see it and proven after you ship it

Robochicken runs no scans. It fixes what your scanner found, then has the same scanner check the fix. Any DAST scanner or AI pentest that reports findings and re-tests through an API will do.

Robochicken writes the fix in your codebase, then the test that proves it. Then it asks for a review.
Robochicken remediation loop A loop of six stages: a scanner finding, locating the code, writing the patch, running your tests, opening a pull request, and a re-scan, which closes the finding with evidence. Closed with evidence 1 Finding 2 Locate 3 Patch 4 Test 5 PR 6 Re-scan

  1. Step 1: Fix

    Robochicken reads the validated finding and writes the patch in your codebase’s own idiom, using the query builder, validators, and middleware you already have.

  2. Step 2: Test

    Your own test suite runs against the patch in a throwaway container before a pull request exists. Failures go back to the agent, not to your reviewers.

  3. Step 3: Verify

    After you merge and deploy, Robochicken asks your scanner to re-test. The finding closes only when the exploit stops working.

The full pipeline, stage by stage, is on the product page.

What lands in your repository is a pull request you’d have written yourself

Tests already green. The diff limited to the code the finding points at. A summary your compliance lead can read and a reproduction your engineer can run.

The merge button stays yours.

Special delivery for main: one pull request, tests attached. Merging is still your call.
Open security critical

Fix SQL injection in GET /api/orders

robochicken wants to merge 1 commit into main from robochicken/scan-48213

What was wrong. The search box text was joined into the SQL string, so anyone could read any table.

What changed. The query uses the ORM’s parameter binding. Finding SCAN-48213, critical, CVSS 9.8.

Reproduce the original exposure

curl -s "https://staging.example.com/api/orders?q=1'%20OR%20'1'='1"

  • Pre-flight tests , passed 412 passed in 38s

  • Build , passed Compiled on commit 9f3c2e1

  • Scope , passed 1 file changed, 4 additions, 3 deletions

  • Re-scan , pending Runs after deploy to staging

Waiting on review from a code owner

Merge is yours to press
An illustrative Robochicken pull request with passing tests, build, and scope checks, and a re-scan pending until the fix deploys.
Zach presenting on an outdoor stage beside a large digital screen displaying the slide 'Who Yembo is' with key company facts.
Presenting Yembo at IB FutureFest. Secure and private by design is on the slide for a reason.

I built Robochicken to secure Yembo

I’m the CTO and co-founder of Yembo, where we run an AI platform under ISO 27001, SOC 2 Type II, and GDPR. Every one of those frameworks wants the same thing from a vulnerability: a deadline, and proof you met it.

We had the scanners. What we didn’t have was a spare engineer for every finding they produced. So I built the thing that writes the fix, runs our tests, opens the pull request, and checks the scanner agrees it’s closed.

That’s Robochicken. It runs on Yembo’s code today, and now it’s opening to other teams with the same problem. It comes from the same place as my 31 granted US patents: building AI that has to work in production, not in a demo.

Read how it works at Yembo.

Yembo publishes the security program Robochicken runs inside

Robochicken was built in Yembo’s security program and still runs there. These are Yembo’s credentials, not Robochicken’s, and each one is documented on a public page you can check today.

  • ISO/IEC 27001:2022

    Certified information security management system, audited by an accredited body.

  • SOC 2 Type II

    Audited report on security and availability controls, dated 2025.

  • GDPR

    Published terms for personal data of EU subjects, with a data protection agreement.

  • Continuous monitoring

    Live control monitoring dashboard, updated continuously by Vanta.

  • Vulnerability disclosure

    A published security.txt, plus a public status page with availability history.

Open Yembo’s Trust Center

It fixes the findings that sit in your backlog longest

  • SQL injection

    Rewrites the query to use your ORM’s parameter binding.

  • Broken access control (IDOR and BOLA)

    Adds an ownership check tying the object to the session’s tenant.

  • Public cloud storage

    Blocks public access in the infrastructure code that created it.

  • Missing security headers

    Adds the headers in your middleware or reverse proxy config.

  • Known component CVE

    Upgrades the dependency and regenerates the lockfile.

See each one end to end in use cases.

Opened 214 days ago and still waiting. Robochicken starts with the dustiest ones.

Questions teams ask

What is Robochicken?
Robochicken is an AI remediation tool for runtime-proven security findings. It reads a finding from a DAST scanner, AI pentest, or cloud posture check, writes the code or configuration fix in the style of the existing codebase, runs the repository’s own tests, opens a pull request, and has the scanner re-run the original attack after the fix deploys.
How is Robochicken different from other autofix tools?
Most autofix tools, including GitHub’s agentic autofix, fix static analysis alerts and confirm the fix by re-running static analysis. Robochicken fixes findings a runtime test proved exploitable, including infrastructure and configuration findings, and confirms each fix by re-running the attack.
Is Robochicken available today?
Robochicken runs in production at Yembo and is opening to a cohort of ten outside design partners, who pay once in 2026 for the Scale plan through December 31, 2027, at half of the retail price. The cohort closes on December 15, 2026, or sooner if all ten spots fill.

Clear your security backlog this quarter

10 design partners get Robochicken through December 31, 2027 for half of retail, at a most-favored price. Applications close December 15.

Become a Design Partner See How It Works