Identify if ssn is in an email
using AI
Below is a free classifier to identify if ssn is in an email. Just input your text, and our AI will predict if an email contains a Social Security Number - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-ssn-is-in-an-email", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-ssn-is-in-an-email/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-an-email/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if an email contains a Social Security Number.
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 an email contains a Social Security Number).
Whether you're just curious or building if ssn is in an email detection into your application, we hope our classifier proves helpful.
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Need to identify if ssn is in an email at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection: Organizations can implement this text classification function to monitor outgoing and incoming emails for the presence of Social Security Numbers (SSNs). By identifying emails that unintentionally share sensitive information, businesses can take immediate action to prevent identity theft and fraud.
- Compliance Monitoring: In industries subject to strict regulations, such as healthcare and finance, this function can be used to ensure compliance with data protection laws. By identifying emails that contain SSNs, organizations can take corrective measures to avoid potential legal penalties and uphold customer trust.
- Internal Policy Enforcement: Companies can integrate the function into their email systems to enforce internal policies regarding the sharing of sensitive information. By flagging emails that contain SSNs, staff will be educated about data handling protocols and can mitigate risks associated with data breaches.
- Data Leak Prevention: This function can serve as a crucial tool in data leak prevention strategies by automatically reviewing emails for SSN occurrences. With timely alerts, organizations can quickly address potential leaks and enhance their overall cybersecurity posture.
- Employee Training Enhancement: By analyzing the frequency of SSN occurrences in emails, organizations can identify areas where employees may need additional training on data privacy. This feedback can be used to tailor training programs aimed at improving employees’ understanding of data security practices.
- Customer Interaction Oversight: Customer service departments can utilize this classification function to review emails sent to clients for any sensitive information sharing. This helps ensure that customer interactions remain secure and that representatives adhere to privacy standards.
- Risk Assessment and Management: Businesses can incorporate this function into their risk management frameworks to assess the potential exposure of SSNs in email communications. By identifying patterns in SSN detection, organizations can develop strategies to minimize risks associated with information mismanagement and exposure.