---
title: AppSecAI for product security — Stop holding releases
description: Own and control the risk level of what ships, without holding the release. Validated fixes delivered inside the sprint they were found.
image: https://www.appsecai.io/hubfs/og/appsecai-og-card.png
---

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[AppSec teams](https://www.appsecai.io/application-security-teams)·Product security·[CISOs](https://www.appsecai.io/application-security-for-cisos)·[Vuln mgmt](https://www.appsecai.io/vulnerability-management)·[Engineering](https://www.appsecai.io/engineering-security-automation)·[CTO](https://www.appsecai.io/engineering-security-automation)

# Stop holding releases. Start shipping them fixed.

AppSecAI turns findings from every scanner into validated, tested fixes delivered inside the sprint they were found.  Now product security can own and control the risk level of what ships, without holding the release.

[See it with your findings](https://calendly.com/brucefram/30min) [How it works →](https://www.appsecai.io/expert-fix-automation)

The clock that matters

Your release cadence, not a remediation window. A finding raised on Tuesday is a merged fix before the branch cuts.

Same sprint

Fixes land in the sprint the finding was raised

97% / 93%

Triage accuracy and fix accuracy, published and reproducible

30 min

From your scanner results to your first fixes

## The ground moved. Twice.

01

### AI writes your product now.

Code volume is growing roughly 50% as generation moves into the mainline. 86% of AI-generated code fails basic XSS tests, and high-risk findings are up 36% year over year. The finding rate is climbing on the exact code you ship to customers.

02

### AI attacks it too.

Frontier models — Anthropic’s Mythos among them — are finding vulnerabilities that survived millions of automated tests. Latent flaws in product you shipped years ago are now discoverable by anyone who points a model at them.

Detection just got a generational upgrade. If remediation didn’t, the gap lands in your customers’ environments.

## You don’t get remediation windows. You get release windows.

Enterprise AppSec tolerates a 243-day median fix time because the exposure sits behind a perimeter somebody else defends. A backlog in shipped product is a disclosure waiting for a date.

### Every release is an exposure decision

Ship with the finding open and you have made a call on your customers’ behalf. Hold the release and you have made one on the roadmap’s. Neither is a decision anyone wants to make weekly.

### Open findings are sales friction

SOC 2 evidence, customer security reviews, and disclosure obligations turn an unresolved finding into a question your account team has to answer in writing.

### The old loop breaks at weekly cadence

Scan, triage by hand, file a ticket, wait for bandwidth. That loop was built for quarterly releases. You cut a branch on Thursday.

The team accountable for the security of shipped software should hold the fix, not the ticket. That decouples your clock from the roadmap's.

## Inside one sprint.

Scan lands

### One finding, one fix

Results from every scanner you run correlate into a single finding with a single fix. Nothing to rip out, no lock-in to a scanner you may replace next year.

Before standup

### Triage is already done

97% accuracy on the true-positive call. False positives never reach an engineer, and nobody spends the morning relitigating severity.

Mid-sprint

### Fixes arrive as pull requests

Validated and tested, written to your codebase’s conventions. Your policy decides which ones reach an engineer at all Engineers do code reviews, not research assignments.

Release

### No security hold

The release notes carry fixes instead of exceptions, and the security sign-off stops being the thing everyone waits on.

## Check it before you believe it.

The benchmark

### Proof you can rerun

97% triage accuracy and 93% fix accuracy, published on the OWASP Benchmark with thousands of examples you can clone and rerun.

[See the numbers →](https://www.appsecai.io/performance-metrics)

The terms

### You pay per accepted fix

A fix you reject costs nothing. The incentive to write fixes your engineers will actually merge sits on our side of the table, where it belongs.

Getting there

Hour 1

Connect your scanners and your repos. Read-only access, nothing to install in the pipeline.

Week 1

Fixes are in the pipeline for your flagship product, at whatever autonomy level you set.

Month 1

Every product in the portfolio is covered, including the ones that never got an assessment.

## Frequently asked questions

Does this slow the release train?

It removes the most common reason releases get held. Fixes arrive as ordinary pull requests against your branch, with your CI checks and branch protection rules unchanged. Nothing new sits between a green build and a deploy.

What does engineering actually see?

A pull request with the fix written and the tests passing. No new tool, no agent in the IDE, no security tickets in the sprint. The classes you have promoted never reach a developer at all (see automation levels).

Does this help with SOC 2 and customer security reviews?

Every fix carries an evidence chain: the finding it closed, how the fix was validated, and who approved it under which policy. That is the artifact an auditor or a customer’s security team is asking for, generated rather than assembled the week before the review.

Which scanners and languages are supported?

Anthropic, Black Duck, Checkmarx, Fortify, Gemini, OpenAI, Semgrep, Snyk, SonarQube and more, running simultaneously — plus anything that exports SARIF or JSON. Languages: C# / .NET, Java, Python, JavaScript / TypeScript, Ruby, Go, PHP, C / C++, Rust, Kotlin, Scala, Swift, and VB.NET. More on the way.

## Ship the next release with the fixes in it.

Upload your scanner results and see fixes for your own code in 30 minutes. You pay for the fixes you keep and nothing for the ones you reject.

[See it with your findings](https://calendly.com/brucefram/30min) [Read the benchmark →](https://www.appsecai.io/performance-metrics)

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---

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