Identify if social security number is in metadata
using AI
Below is a free classifier to identify if social security number is in metadata. Just input your text, and our AI will predict if a social security number is present in the metadata - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-social-security-number-is-in-metadata", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-social-security-number-is-in-metadata/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-metadata/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 in the metadata.
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 in the metadata).
Whether you're just curious or building if social security number is in metadata detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if social security number is in metadata at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection in Financial Services: Financial institutions can use this text classification function to identify documents containing social security numbers in their metadata. By flagging these documents, they can take necessary precautions to prevent identity theft and ensure compliance with data protection regulations.
- Compliance Monitoring for Healthcare Providers: Healthcare organizations can leverage this function to monitor communications and records for the presence of social security numbers. Ensuring that sensitive information is not improperly stored or transmitted helps maintain HIPAA compliance and protects patient privacy.
- Data Privacy Check for Marketing Campaigns: Marketing teams can implement this classification to screen promotional materials and customer databases for social security numbers. By ensuring that these identifiers are not inadvertently included, organizations can uphold customer trust and reduce legal liabilities.
- Document Management in Human Resources: HR departments can utilize this function to review employee records and resumes for the presence of social security numbers. This helps in maintaining a secure database, ensuring that sensitive information is accessed and shared only as necessary and in compliance with privacy laws.
- Risk Assessment in Insurance Claims: Insurance companies can apply this text classification to assess claims documents for social security numbers in the metadata. This proactive measure can help in identifying potential fraud cases and safeguarding customer information throughout the claims process.
- Content Moderation for Online Platforms: Online platforms that allow user-generated content can use this function to automatically filter submissions for social security numbers. Preventing the publication of such sensitive information protects users and shields the platform from potential legal repercussions.
- Data Audit and Governance: Organizations can deploy this function during data audits to identify and flag datasets that include social security numbers in their metadata. This is crucial for data governance initiatives, ensuring accurate record-keeping and facilitating the identification of sensitive data for proper handling and protection.