Identify if code has authentication using AI

Below is a free classifier to identify if code has authentication. Just input your text, and our AI will predict if the code has authentication - in just seconds.

if code has authentication identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-code-has-authentication", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-code-has-authentication/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_text_here"}
    )
})
.then(response => response.json())
.then(data => console.log(data));
            

curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_text_here"}' \
    https://www.nyckel.com/v1/functions/if-code-has-authentication/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the code has authentication.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Has Authentication and No Authentication.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the code has authentication).

Whether you're just curious or building if code has authentication detection into your application, we hope our classifier proves helpful.

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Need to identify if code has authentication at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Code Security Audit: This use case involves scanning a codebase to identify all instances of authentication mechanisms. By detecting the presence of authentication, security teams can evaluate whether best practices are being followed and pinpoint any potential vulnerabilities.

  • Compliance Monitoring: Organizations in regulated industries can leverage this function to ensure compliance with standards that mandate authentication practices. Automated classification helps maintain a consistent audit trail, showing that authentication methods are implemented where required.

  • Code Refactoring Optimization: During refactoring processes, teams can use this classification to quickly identify code segments that deal with authentication. This aids developers in ensuring that any changes made preserve or enhance the security of user authentication.

  • Vulnerability Assessment: By integrating this classification function in vulnerability assessments, security experts can focus on code that manages authentication. Identifying these areas allows teams to prioritize testing and remediate vulnerabilities more effectively.

  • Development Best Practices Training: This function can serve as a training tool for developers, helping them recognize proper authentication implementations in code. By analyzing results, teams can educate developers on effective coding practices related to security.

  • Legacy System Upgrades: When upgrading legacy systems, the classification function can identify authentication methods present in outdated code. This visibility is crucial for ensuring that new systems are implemented with up-to-date and secure authentication practices.

  • API Security Enhancement: Developers can use the classification function to assess whether API endpoints are properly secured with authentication. It provides insights into code areas that need stronger security measures, improving overall API resilience against unauthorized access.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

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