---
title: AppSecAI — Blamed for the breach? Deliver the fix.
description: AppSecAI turns findings from any code scanner into validated, tested code fixes your security team delivers — automated vulnerability remediation at the speed of find.
image: https://www.appsecai.io/hubfs/og/appsecai-og-card.png
---

<https://www.appsecai.io#body>

[![Logo. Blue. Horizontal](https://www.appsecai.io/hubfs/Logo.%20Blue.%20Horizontal.svg "Logo. Blue. Horizontal")](https://www.appsecai.io)

- Open submenu for Products 
  
    - [Expert Fix Automation](https://www.appsecai.io/expert-fix-automation)
    - [Expert Triage Automation](https://www.appsecai.io/expert-triage-automation-eta)
- Open submenu for By Role 
  
    - [Application Security Teams](https://www.appsecai.io/application-security-teams)
    - [Product Security](https://www.appsecai.io/product-security)
    - [CISOs](https://www.appsecai.io/application-security-for-cisos)
    - [Vulnerability Management](https://www.appsecai.io/vulnerability-management)
    - [Engineering Leaders](https://www.appsecai.io/engineering-security-automation)
- Open submenu for Resources 
  
    - [Blog](https://www.appsecai.io/blog)
    - [Case Studies](https://www.appsecai.io/case-studies)
    - [AppSec - Complete Guide in AI Era](https://www.appsecai.io/application_security_complete_guide)
    - [Videos & Podcasts](https://www.appsecai.io/videos-podcasts)
    - [Return on Investment Calculator](https://www.appsecai.io/roi)
    - [Performance Metrics](https://www.appsecai.io/performance-metrics)
    - [AI Security Book](https://www.appsecai.io/the-ai-security-advantage-by-bruce-fram)
    - [Partners](https://www.appsecai.io/partners)
- [Pricing](https://www.appsecai.io/pricing)
- [About](https://www.appsecai.io/about)
  
   Show submenu for About 
  
    - [Leadership Team](https://www.appsecai.io/about#leadership)

- Open submenu for Products 
  
    - [Expert Fix Automation](https://www.appsecai.io/expert-fix-automation)
    - [Expert Triage Automation](https://www.appsecai.io/expert-triage-automation-eta)
- Open submenu for By Role 
  
    - [Application Security Teams](https://www.appsecai.io/application-security-teams)
    - [Product Security](https://www.appsecai.io/product-security)
    - [CISOs](https://www.appsecai.io/application-security-for-cisos)
    - [Vulnerability Management](https://www.appsecai.io/vulnerability-management)
    - [Engineering Leaders](https://www.appsecai.io/engineering-security-automation)
- Open submenu for Resources 
  
    - [Blog](https://www.appsecai.io/blog)
    - [Case Studies](https://www.appsecai.io/case-studies)
    - [AppSec - Complete Guide in AI Era](https://www.appsecai.io/application_security_complete_guide)
    - [Videos & Podcasts](https://www.appsecai.io/videos-podcasts)
    - [Return on Investment Calculator](https://www.appsecai.io/roi)
    - [Performance Metrics](https://www.appsecai.io/performance-metrics)
    - [AI Security Book](https://www.appsecai.io/the-ai-security-advantage-by-bruce-fram)
    - [Partners](https://www.appsecai.io/partners)
- [Pricing](https://www.appsecai.io/pricing)
- [About](https://www.appsecai.io/about)
  
   Show submenu for About 
  
    - [Leadership Team](https://www.appsecai.io/about#leadership)

- [Demo Video](https://www.appsecai.io/demo)
- [Schedule Demo](https://calendly.com/brucefram/30min)

- [Demo Video](https://www.appsecai.io/demo)
- [Schedule Demo](https://calendly.com/brucefram/30min)

# Blamed for the breach? Deliver the fix.

AppSecAI turns scanner findings into validated code fixes your team delivers as fast as they're found.

[1 minute demo](https://www.appsecai.io/demo) [Start now!](https://calendly.com/brucefram/30min)

> "We are blamed for the breach. We need to own preventing it."

Travis McPeak, Application Security Lead, Cursor

You set the standards

You review the fix

You decide what merges

Don't just report risk, retire it.

Trusted by software teams and AppSec service providers

[![Taama](https://www.appsecai.io/hubfs/customer-logos/taama.png)](https://www.appsecai.io/case-studies) [![Blockchain0x](https://www.appsecai.io/hubfs/customer-logos/blockchain0x.svg)](https://www.appsecai.io/case-studies) [![IndustrialMind.ai](https://www.appsecai.io/hubfs/customer-logos/industrialmind.png)IndustrialMind.ai](https://www.appsecai.io/case-studies) [![recordskeeper.ai](https://www.appsecai.io/hubfs/customer-logos/recordskeeper.svg)](https://www.appsecai.io/case-studies) [![TEGO](https://www.appsecai.io/hubfs/customer-logos/tego.svg)](https://www.appsecai.io/case-studies) [![intermedia IT](https://www.appsecai.io/hubfs/customer-logos/intermediait.svg)](https://www.appsecai.io/case-studies) [![Sanket](https://www.appsecai.io/hubfs/customer-logos/sanket.svg)](https://www.appsecai.io/case-studies) [![Galah Cyber](https://www.appsecai.io/hubfs/customer-logos/galah-cyber.svg)](https://www.appsecai.io/case-studies) [![Blockchain Council](https://www.appsecai.io/hubfs/customer-logos/blockchain-council.svg)](https://www.appsecai.io/case-studies) [![spurtree](https://www.appsecai.io/hubfs/customer-logos/spurtree.png)](https://www.appsecai.io/case-studies) [![Tosh Innovations](https://www.appsecai.io/hubfs/customer-logos/tosh-innovations.png)](https://www.appsecai.io/case-studies) [![The Hog](https://www.appsecai.io/hubfs/customer-logos/the-hog.png)](https://www.appsecai.io/case-studies)

[![](https://www.appsecai.io/hubfs/customer-logos/taama.png)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/blockchain0x.svg)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/industrialmind.png)IndustrialMind.ai](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/recordskeeper.svg)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/tego.svg)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/intermediait.svg)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/sanket.svg)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/galah-cyber.svg)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/blockchain-council.svg)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/spurtree.png)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/tosh-innovations.png)](https://www.appsecai.io/case-studies) [![](https://www.appsecai.io/hubfs/customer-logos/the-hog.png)](https://www.appsecai.io/case-studies)

## From findings to merged fixes.

### All scanner findings, triaged

Run any or all of your code scanners at once. AppSecAI triages the combined output using exploitability analysis, removing false results with 97% measured accuracy in minutes.

Anthropic, Black Duck, Checkmarx, Fortify, Gemini, OpenAI, Semgrep, Snyk, SonarQube, and more — individually or all at once, plus anything that exports SARIF or JSON.

AppSecAI then consolidates and groups findings, so the deepest vulnerability coverage costs you no triage time and yields fewer, more effective fixes.

Scanners

Scanner availability, defaults, licenses, and prerequisites come from the backend catalog for the selected repository.

OpenGrep Default existing-default

Languages: python, javascript, typescript, java, go, ruby, php, csharp, kotlin, swift, rust, cppOutput: sarif

Bandit Default default-safe

Languages: pythonOutput: json

gosec Default default-safe

Languages: goOutput: sarif

ESLint security Default default-safe-when-project-toolchain-present

Languages: javascript, typescriptOutput: json

Psalm taint analysis Default default-safe-when-composer-present

Languages: phpOutput: json

PHPStan Default default-safe-when-composer-present

Languages: phpOutput: json

DevSkim Default default-safe

Languages: csharpOutput: sarif

### Tailored code fixes you deliver

Every found vulnerability gets a complete documented analysis and code fix you can review and merge in minutes.

Fixes are tailored to the way your developers code and to your security standards, for quick acceptance. Each is automatically checked for fix quality, functionality, code quality, security and more, maximizing team productivity even before your team (optionally) validates them.

Fixes can be grouped, for example by source, so with a single PR you retire multiple vulnerabilities even faster.

src/auth/database\_connection.py Security: Fix CWE-259 (hardcoded\_password\_funcarg)

+10-12 Ready to merge

...

@@ -1,30 +1,28 @@

1

#!/usr/bin/env python3

1

#!/usr/bin/env python3

2

"""

2

"""

3

\-Database connection module with hardcoded credentials vulnerability.

3

\+Database connection module.

4

\-This represents an OWASP Top 10 A07:2021 - Identification and Authentication Failures.

4

\+Credentials are loaded from environment variables per OWASP Top 10 A07:2021 guidance.

5

\-The vulnerability can be fixed by using environment variables and libraries like python-dotenv.

6

"""

5

"""

6

\+import os

8

import mysql.connector

7

import mysql.connector

9

import logging

8

import logging

11

class DatabaseManager:

10

class DatabaseManager:

12

def \_\_init\_\_(self):

11

def \_\_init\_\_(self):

13

\- # VULNERABILITY: Hardcoded database credentials (OWASP A07:2021)

14

\- # These should be stored in environment variables or secure configuration

15

 self.db\_config = {

12

 self.db\_config = {

16

\- 'host': 'prod-db-server.company.com',

13

\+ 'host': os.environ\['DB\_HOST'\],

17

\- 'user': 'admin\_user',

14

\+ 'user': os.environ\['DB\_USER'\],

18

\- 'password': 'SuperSecret123!@#', # Hardcoded password

15

\+ 'password': os.environ\['DB\_PASSWORD'\],

19

\- 'database': 'customer\_data',

16

\+ 'database': os.environ\['DB\_NAME'\],

20

\- 'port': 3306

17

\+ 'port': int(os.environ.get('DB\_PORT', '3306'))

21

 }

18

 }

22

 self.connection = None

19

 self.connection = None

24

def connect(self):

21

def connect(self):

25

\- """Establish database connection using hardcoded credentials."""

22

\+ """Establish database connection."""

26

try:

23

try:

27

\- # Direct use of hardcoded credentials

28

 self.connection = mysql.connector.connect(

24

 self.connection = mysql.connector.connect(

29

 host=self.db\_config\['host'\],

25

 host=self.db\_config\['host'\],

30

 user=self.db\_config\['user'\],

26

 user=self.db\_config\['user'\],

31

 password=self.db\_config\['password'\],

27

 password=self.db\_config\['password'\],

Vulnerability flow diagram included with every fix

Hardcoded credential

Source Code / Git Repo

database\_connection.py -15  
password = 'SuperSecret123!@#'

Attacker Access

Reads RepositoryBinary/Config Inspection

Extracts Credentials

mysql.connector.connect()  
with stolen password

Full Admin DB Access  
customer\_data compromised

After the AppSecAI fix

Secure Secret Store  
Vault / CI Environment

os.environ\['DB\_PASSWORD'\]

database\_connection.py -15  
No credential in source

mysql.connector.connect()  
runtime value only

Repository Exposure  
Reveals Nothing

### Across the whole portfolio

You're accountable for every application, not just the ones a scanner covers. AppSecAI extends security across the enterprise from a single system, including untested and legacy applications. Burn down backlogs without the time and cost of manual triage and hand-written security fixes.

We secure the vibe-coded applications nobody is watching, and the apps with no developer behind them.

Portfolio

Last 30 days

Remediation progress and priority across every repository under management.

Business Risk Analysis

8 repos

High + Critical▾

Business importance▾

10 6 3

WATCH LIST HIGHER RISK LOWER RISK VOLUME FOCUS

0112233

Business importance against open high and critical findings.

Remediation by repository

Fixes merged Awaiting fix

payments-platform

96

90

186

billing-legacy

128

80

208

orders-core

71

71

142

customer-portal

44

52

96

partner-gateway

37

81

118

vibe-storefront

52

40

92

0100200

## Decouple AppSec from dev.

Development cycle

Build features → ship revenue

Sprint 1

Sprint 2

Sprint 3

Sprint 4

Remediation cycle

Find → Generate → Validate → Merge

Week 1Week 3Week 5Week 7

Two cycles, running at the same time. Neither one waits for the other.

Generate security code fixes, give developers their sprint back and start owning security.

Developers ship features. AppSec ships fixes. No new developer tools, no training, no agent in the IDE, and nothing blocking the pipeline. The only security work that reaches the sprint is what actually needs a developer.

Fixes arrive written, tested and ready. Developers review security validated fixes instead of struggling to code them. Developers keep building the features that earn revenue. Security protects it.

> "Finally, let security do security."

— Dave Wichers, Co-founder, OWASP Top 10

## Own the fix, not the finding.

Bring us the backlog and we'll show you how to burn it down in minutes.

[Bring us your backlog](https://www.appsecai.io/contact)

You pay for the fixes you keep. Nothing for the ones you reject.

## Frequently asked questions

How is this different from my scanner's autofix button?

A scanner's autofix only fixes its own findings, so running three scanners means each button sees a third of your problem. AppSecAI ingests findings from every scanner you run, correlates them, and delivers one validated fix per real vulnerability.

Which scanners do you support?

Anthropic, Black Duck, Checkmarx, Fortify, Gemini, OpenAI, Semgrep, Snyk, SonarQube, and more — individually or all at once, plus anything that exports SARIF or JSON. Results from all scanners are triaged automatically and duplicates consolidated.

What access does AppSecAI need to our code?

Read-only. AppSecAI proposes a branch and a pull request; your pipeline, your CI checks, and your branch protection rules decide what merges.

Do developers have to change how they work?

No. There is no new tool to learn and no agent in the IDE. Most security work never reaches them at all, and what does arrives as an ordinary pull request with the code written and the tests passing.

How does pricing work?

You pay per accepted fix, and $0 for fixes you reject. We can price this way because we know we work. You shouldn't have to pay for tooling that doesn't.

How long does it take to get started?

Minutes from install to first fix, even without a scanner configured. Your existing scanners stay where they are, and there is nothing to rip out. Run it from the console, drive it from the API or Git, or all three. Works with your existing processes.

How do we know the fixes are any good?

Every fix passes a battery of automated validation checks before anyone sees it. We check that it resolves the vulnerability, that the code still works, and that it won't break the build, and every fix carries complete reasoning and documentation. 97% triage accuracy and 93% fix accuracy, published on the OWASP Benchmark with thousands of examples you can clone and rerun.

[![Logo. White. Horizontal](https://www.appsecai.io/hubfs/Logo.%20White.%20Horizontal.svg "Logo. White. Horizontal")](https://www.appsecai.io/)

**Automation for   
Application Security Teams**

<https://www.linkedin.com/company/appsecai-inc/> <https://www.youtube.com/@AppSecAI>

- Products 
    - [Expert Fix Automation (EFA)](https://www.appsecai.io/expert-fix-automation)
    - [Expert Triage Automation (ETA)](https://www.appsecai.io/expert-triage-automation-eta)
    - [Try Now!](https://www.appsecai.io/try-now)

- By Role 
    - [Application Security Teams](https://www.appsecai.io/application-security-teams)
    - [Product Security](https://www.appsecai.io/product-security)
    - [Vulnerability Management](https://www.appsecai.io/vulnerability-management)
    - [CISOs](https://www.appsecai.io/application-security-for-cisos)
    - [Engineering Leaders](https://www.appsecai.io/engineering-security-automation)

- Resources 
    - [Blog](https://www.appsecai.io/blog)
    - [Case Studies](https://www.appsecai.io/case-studies)
    - [Videos & Podcasts](https://www.appsecai.io/videos-podcasts)
    - [AI Security Book](https://www.appsecai.io/the-ai-security-advantage-by-bruce-fram)
    - [Metrics](https://www.appsecai.io/performance-metrics)
    - [ROI Calculator](https://www.appsecai.io/roi)
    - [Pricing](https://www.appsecai.io/pricing)

- Company 
    - [About](https://www.appsecai.io/about)
    - [Partners](https://www.appsecai.io/partners)
    - [Careers](https://www.appsecai.io/careers)
    - [Contact Us](https://www.appsecai.io/contact)
    - [Privacy Policy](https://www.appsecai.io/privacy-policy)
    - [Terms of Service](https://www.appsecai.io/terms-of-service)
    - [Cookie Policy](https://www.appsecai.io/cookie-policy)

---

© 2026 AppSecAI, Inc. All rights reserved.

```json
{
  "@context" : "https://schema.org",
  "@id" : "https://www.appsecai.io/#org",
  "@type" : "Organization",
  "contactPoint" : [ {
    "@type" : "ContactPoint",
    "availableLanguage" : [ "en" ],
    "contactType" : "sales",
    "email" : "automation@appsecai.io"
  }, {
    "@type" : "ContactPoint",
    "availableLanguage" : [ "en" ],
    "contactType" : "security",
    "email" : "security@appsecai.io"
  }, {
    "@type" : "ContactPoint",
    "availableLanguage" : [ "en" ],
    "contactType" : "privacy",
    "email" : "privacy@appsecai.io"
  } ],
  "logo" : {
    "@type" : "ImageObject",
    "height" : 112,
    "url" : "https://43994771.fs1.hubspotusercontent-na2.net/hubfs/43994771/Logos/Logo.%20Blue.%20Stacked-1.png",
    "width" : 112
  },
  "name" : "AppSecAI, Inc.",
  "sameAs" : [ "https://www.linkedin.com/company/appsecai-inc/", "https://www.youtube.com/@AppSecAI" ],
  "url" : "https://www.appsecai.io/"
}
```

```json
{
  "@context" : "https://schema.org",
  "@id" : "https://www.appsecai.io/#website",
  "@type" : "WebSite",
  "inLanguage" : "en-US",
  "name" : "AppSecAI",
  "publisher" : {
    "@id" : "https://www.appsecai.io/#org"
  },
  "url" : "https://www.appsecai.io/"
}
```

```json
{
  "@context" : "https://schema.org",
  "@id" : "https://www.appsecai.io/expert-fix-automation#software",
  "@type" : "SoftwareApplication",
  "applicationCategory" : "SecurityApplication",
  "applicationSubCategory" : "SAST remediation / automated vulnerability fix automation",
  "description" : "Turns findings from any code scanner into validated, tested code fixes delivered as pull requests, at the automation level the security team sets.",
  "featureList" : [ "Simultaneous ingestion from any SAST or AI scanner (SARIF/JSON)", "Automated triage at 97% measured accuracy", "Validated code fix generation at 93% measured accuracy", "Vulnerability grouping by class, file, source and sink", "Automation levels set per vulnerability class and application", "Per-fix evidence chain and audit trail", "Read-only repository access", "API-first integration" ],
  "name" : "AppSecAI Expert Fix Automation",
  "operatingSystem" : "Cloud",
  "provider" : {
    "@id" : "https://www.appsecai.io/#org"
  },
  "url" : "https://www.appsecai.io/expert-fix-automation"
}
```

```json
{
  "@context" : "https://schema.org",
  "@id" : "https://www.appsecai.io/#webpage",
  "@type" : "WebPage",
  "description" : "AppSecAI turns findings from any code scanner into validated, tested code fixes your security team delivers — automated vulnerability remediation at the speed of find.",
  "inLanguage" : "en-US",
  "isPartOf" : {
    "@id" : "https://www.appsecai.io/#website"
  },
  "name" : "AppSecAI — Blamed for the breach? Deliver the fix.",
  "url" : "https://www.appsecai.io/"
}
```

```json
{
  "@context" : "https://schema.org",
  "@type" : "FAQPage",
  "mainEntity" : [ {
    "@type" : "Question",
    "acceptedAnswer" : {
      "@type" : "Answer",
      "text" : "A scanner's autofix only fixes its own findings, so running three scanners means each button sees a third of your problem. AppSecAI ingests findings from every scanner you run, correlates them, and delivers one validated fix per real vulnerability."
    },
    "name" : "How is this different from my scanner's autofix button?"
  }, {
    "@type" : "Question",
    "acceptedAnswer" : {
      "@type" : "Answer",
      "text" : "Anthropic, Black Duck, Checkmarx, Fortify, Gemini, OpenAI, Semgrep, Snyk, SonarQube, and more — individually or all at once, plus anything that exports SARIF or JSON. Results from all scanners are triaged automatically and duplicates consolidated."
    },
    "name" : "Which scanners do you support?"
  }, {
    "@type" : "Question",
    "acceptedAnswer" : {
      "@type" : "Answer",
      "text" : "Read-only. AppSecAI proposes a branch and a pull request; your pipeline, your CI checks, and your branch protection rules decide what merges."
    },
    "name" : "What access does AppSecAI need to our code?"
  }, {
    "@type" : "Question",
    "acceptedAnswer" : {
      "@type" : "Answer",
      "text" : "No. There is no new tool to learn and no agent in the IDE. Most security work never reaches them at all, and what does arrives as an ordinary pull request with the code written and the tests passing."
    },
    "name" : "Do developers have to change how they work?"
  }, {
    "@type" : "Question",
    "acceptedAnswer" : {
      "@type" : "Answer",
      "text" : "You pay per accepted fix, and $0 for fixes you reject. We can price this way because we know we work. You shouldn't have to pay for tooling that doesn't."
    },
    "name" : "How does pricing work?"
  }, {
    "@type" : "Question",
    "acceptedAnswer" : {
      "@type" : "Answer",
      "text" : "Minutes from install to first fix, even without a scanner configured. Your existing scanners stay where they are, and there is nothing to rip out. Run it from the console, drive it from the API or Git, or all three. Works with your existing processes."
    },
    "name" : "How long does it take to get started?"
  }, {
    "@type" : "Question",
    "acceptedAnswer" : {
      "@type" : "Answer",
      "text" : "Every fix passes a battery of automated validation checks before anyone sees it. We check that it resolves the vulnerability, that the code still works, and that it won't break the build, and every fix carries complete reasoning and documentation. 97% triage accuracy and 93% fix accuracy, published on the OWASP Benchmark with thousands of examples you can clone and rerun."
    },
    "name" : "How do we know the fixes are any good?"
  } ]
}
```