Identify if ssn is in a message
using AI
Below is a free classifier to identify if ssn is in a message. Just input your text, and our AI will predict if a social security number is present - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-ssn-is-in-a-message", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-ssn-is-in-a-message/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-ssn-is-in-a-message/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 Ssn and Does Not Contain Ssn.
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 ssn is in a message detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if ssn is in a message at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection in Customer Communications: This function can be implemented in customer service platforms to automatically flag messages containing social security numbers. By identifying potential fraud attempts, businesses can take immediate action to protect sensitive customer information and mitigate risks.
- Compliance Monitoring: Organizations handling sensitive data can use this classifier to ensure that communications comply with data protection regulations, such as GDPR or HIPAA. Any message containing a social security number can be flagged for review, helping to avoid costly fines and legal issues.
- Automated Reporting for Security Audits: Businesses can leverage this function to generate automatic reports during security audits by identifying instances where social security numbers were mentioned. This can provide insights into potential vulnerabilities in communication channels and help improve overall data security protocols.
- Enhanced Customer Data Privacy: Companies can implement this function in their messaging systems to reinforce customer data privacy. By identifying messages with SSNs, they can alert employees to the need for additional security measures, ensuring that no personal information is inadvertently shared or stored insecurely.
- Chatbot Integration for Secure Customer Interactions: Integrating this function into chatbots can help prevent the exchange of sensitive information, such as social security numbers, during interactions. This protects customers while still providing assistance, leading to a safer and more trustworthy user experience.
- Risk Assessment in Email Communications: Email filtering systems can utilize this classifier to assess the risk level of incoming and outgoing communications. Identifying messages containing social security numbers can lead to enhanced scrutiny and additional security measures for high-risk interactions.
- Train Employees on Data Sensitivity: Organizations can use this function to create training modules that simulate real-life scenarios involving sensitive information. By analyzing messages flagged for containing SSNs, employees can better understand the importance of data sensitivity and learn best practices for protecting customer information.