The Burndown System — AI-Powered Remediation

Your vulnerability backlog.
Burned down.

Burndown Security installs the Burndown System — an AI remediation pipeline that triages every finding, separates the handful that matter from the hundreds that don't, ships the fixes as tested pull requests, and keeps running after we leave.

150 findings triaged on camera in one episode
6+ years at Nike, ZeroFox, IDX
0 PDFs delivered. Running systems and merged PRs only.

65+ actionable items. No spam. Delivered to your inbox.

Check your inbox for the checklist!

Watch the system work

The scanner isn't the problem.
The backlog is.

The pentest report just landed.
Forty pages of findings. Nobody has time to read it, let alone fix it.
The dashboard is a wall of red.
900 open findings, 40 marked critical. Maybe 5 are real. Nobody knows which 5.
The auditor wants remediation evidence.
SOC 2 asks how findings get fixed. The honest answer: sporadically, by whoever has time.
Your engineers are the remediation plan.
Every sprint bleeds days into patch work. Work a system should be doing.
# Before: your scanner dashboard right now open_findings: 932 critical: 41 oldest: 14 months remediation_owner: "whoever has time" # nobody has time last_full_triage: never # After: the Burndown System's first pass triaged: 932 of 932 # every finding gets a verdict, with reasoning real_threats: 17 # reachable, exploitable, worth an engineer's time documented_noise: 915 # suppressed with evidence, not ignored fix_prs: 17 opened, 17 merged # tested, scoped, through your review process open_findings: 0 # and the system keeps it there

The Burndown System.

One pipeline, four stages. It reads every finding your scanners produce, decides what's real, fixes it, and proves it — installed in your infrastructure, running on every new scan.

01

Ingest

Every feed you have — dependency scanners, SAST, container and cloud findings, even the pentest PDF. One queue, no finding left uncounted.

02

Triage

AI-driven analysis of reachability, exploitability, and your actual architecture. Every finding gets a verdict — real or noise — with the reasoning written down.

03

Fix

Tested pull requests into your repos, through your review gates. Upgrades, patches, config hardening — scoped small enough to actually merge.

04

Prove

A continuous evidence trail — verdicts, diffs, test runs — exported for your auditor, your enterprise customers, and your board. The backlog metric goes down and stays down.

Beyond the backlog

The backlog is where every engagement starts — it's urgent, measurable, and nobody else wants to touch it. But the Full Security Stack draws on the whole toolbox:

  • Kubernetes & EKS hardening
  • AWS security baselines
  • CI/CD pipeline lockdown
  • OIDC & credential elimination
  • GitHub org security
  • Container & runtime security
  • Compliance-as-code (SOC 2, ISO 27001)
  • Security questionnaire automation

Point it. Burn it. Keep it.

01

Point it at your stack

Read-only access to your repos, scanner feeds, and cloud accounts. The system ingests everything and produces the first full triage report within days — every finding, a verdict, the reasoning.

02

Burn the backlog

Fix PRs flow through your normal review process — tested, scoped, one concern each. You watch the open-findings count fall on your own dashboard, not in a slide deck.

03

Keep the system

The pipeline lives in your infrastructure and runs on every new scan. Your engineers own it — code, prompts, and playbooks. I stay on retainer only if you want the tuning.

Built by someone who's done this at scale.

Not a big consultancy. Not AI-generated output with a logo on it. One senior engineer who's secured production at Nike, ZeroFox, and IDX — who runs vulnerability burndowns at enterprise scale for a living and films the system working in public.

6+
Years securing infrastructure at Nike, ZeroFox, and IDX
200+
Engineers on CI/CD infrastructure built at Nike
0
Static credentials left behind. Every engagement ships OIDC.

Most security firms hand you a report of what's wrong. I install the system that fixes it — and I film it working, on real infrastructure, so you don't have to take my word for it.

— Evan Ippolito, Founder

Watch the system work.
On camera. No staged demos.

I film the Burndown System running against real, vulnerable infrastructure — scanner output, triage reasoning, fix PRs, failures included. This episode: 150 findings in, one real threat out.

# Every fix the system ships carries its own evidence. # Not a spreadsheet — a versioned record your auditor can read. finding "critical deserialization CVE — legacy Java service" { verdict = "real — reachable from public upload route" fix = pr#412 # dependency bump + regression test status = merged # through your review gates, not around them evidence { triage_reasoning = attached diff = attached test_run = passing exported_for = ["SOC 2 audit", "customer security review"] } }

Everything the system does is inspectable — the verdicts, the diffs, the test runs. Reviewed, tested, merged into your repo. You keep all of it.

Fixed scope. Running systems. Code you keep.

No hourly billing. No scope creep. Every engagement installs automated security infrastructure you own.

Burndown Sprint

$5,000
~1 week
  • Full triage of your open backlog — every finding gets a verdict
  • Tested fix PRs for the criticals that are actually real
  • Scanner noise documented and suppressed with evidence
  • Remediation report for auditors & enterprise customers
  • Roadmap for installing the system permanently

Full Security Stack

$20,000
3–4 weeks
  • Everything in the Burndown System Install
  • Kubernetes/EKS security (RBAC, network policies, pod security)
  • AWS security baseline (IAM, CloudTrail, GuardDuty, SCPs)
  • CI/CD lockdown, OIDC credential elimination & questionnaire automation
  • Monitoring, alerting & team enablement
System Ops Retainer — Tuning, new scanner integrations, and a monthly review of what the system caught. The system runs itself; this keeps it sharp.
$2k–$5k/mo

Frequently asked. Straight answers.

What is the Burndown System, concretely?
A remediation pipeline installed in your infrastructure. It ingests every scanner feed you have, uses AI to triage each finding against your actual architecture — is it reachable, is it exploitable, does it matter — then opens tested fix PRs through your normal review process and logs the evidence. Not a dashboard that shows you the problem. A system that removes it.
Is it safe to let AI open fix PRs?
Nothing merges without your review gates — the system opens PRs, your engineers approve them, same as any teammate. Every PR is scoped to one concern and ships with tests. And unlike most vendors, I film the system working on real infrastructure, failure modes included, so you can judge it before you buy it.
What scanners and inputs does it work with?
Dependency and SCA scanners (Snyk, Dependabot, Trivy, Grype), SAST output, container and cloud findings, and unstructured input like pentest reports. If it produces findings, the system can ingest it — integration for an unusual feed is part of the install.
Do I need to be on AWS?
I work across AWS, GCP, and Azure. Most engagements are on AWS, but the pipeline and the security patterns are cloud-agnostic.
How long does a typical engagement take?
Burndown Sprint is ~1 week. Burndown System Install is ~2–3 weeks. Full Security Stack is 3–4 weeks. Retainers are ongoing.
What if we already have some security in place?
Good — I'll assess what you have, identify the gaps that actually matter, and only fix what needs fixing. No rip-and-replace.
What if we're early-stage or a small team?
That's exactly when backlogs are cheapest to kill. The Burndown Sprint is scoped for teams of 5–50 engineers — you get a clean backlog and a verdict on every finding without overbuilding. Clear it now or pay 10x to clear it during your SOC 2 audit.
How does AI fit into the engagement?
AI does the volume work — reading hundreds of findings, tracing reachability, drafting fixes. My judgment shapes the system: what it's allowed to touch, how verdicts get made, when a human has to look. You're hiring experience that knows how to make AI do security work safely — not a prompt.

Tell me about your backlog.
I'll tell you what's actually in it.

Let's talk

Tell me what you're running, which scanners are yelling at you, and how many findings are sitting open. I'll respond within 24 hours with an honest read on how much of it is real and what a burndown would look like.

No sales calls. No pressure. Just a straight answer from someone who does this every day.

evan@burndownsecurity.com