Identify if social security number is in file properties using AI

Below is a free classifier to identify if social security number is in file properties. Just input your text, and our AI will predict if a social security number is present - in just seconds.

if social security number is in file properties identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-social-security-number-is-in-file-properties", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-social-security-number-is-in-file-properties/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-social-security-number-is-in-file-properties/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if a social security number is present.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Social Security Number and Does Not Contain Social Security Number.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if a social security number is present).

Whether you're just curious or building if social security number is in file properties detection into your application, we hope our classifier proves helpful.

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Need to identify if social security number is in file properties at scale?

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



  • Compliance Audit: Conducting regular audits for compliance with data protection regulations is essential for businesses handling sensitive information. Implementing a classification function helps identify files containing social security numbers, ensuring adherence to legal standards like HIPAA or GDPR.

  • Data Privacy Risk Assessment: Organizations can use this classification function to evaluate their data landscape for potential privacy risks. By locating files with social security numbers, businesses can assess whether appropriate safeguards are in place to protect this sensitive information.

  • Incident Response: In the event of a data breach, quickly identifying files that may contain social security numbers can assist in assessing the damage and formulating an effective response plan. This function aids the security team in prioritizing their efforts based on the sensitivity of the data involved.

  • Employee Onboarding: During the new hire onboarding process, companies often collect sensitive information, including social security numbers. A classification function can help ensure that such data is stored securely and monitored for compliance in relevant HR files.

  • File Management Optimization: Companies can leverage this function to streamline file management practices by tagging or categorizing files that contain social security numbers. This ensures that sensitive files are easily accessible for authorized personnel while preventing unauthorized access.

  • E-discovery Support: In legal proceedings, the identification of sensitive information is critical. This classification function can assist legal teams in quickly locating files that contain social security numbers, improving the efficiency of the e-discovery process and ensuring compliance with court requests.

  • Data Minimization Strategy: Businesses can use this function to implement effective data minimization strategies by identifying unnecessary storage of social security numbers in non-essential files. This helps in reducing the overall risk of data exposure and aligning with best practices in data governance.

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