Identify if student id is in plaintext using AI

Below is a free classifier to identify if student id is in plaintext. Just input your text, and our AI will predict if the student ID is valid - in just seconds.

if student id is in plaintext identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-student-id-is-in-plaintext", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-student-id-is-in-plaintext/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-student-id-is-in-plaintext/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the student ID is valid.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Student Id Is In Plaintext and Student Id Is Not In Plaintext.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the student ID is valid).

Whether you're just curious or building if student id is in plaintext detection into your application, we hope our classifier proves helpful.

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Need to identify if student id is in plaintext at scale?

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



  • Student Privacy Compliance: This use case involves ensuring compliance with data protection regulations, such as FERPA. By classifying if student IDs are in plaintext, institutions can identify and safeguard sensitive information more effectively, thus reducing the risk of data breaches.

  • Data Anomaly Detection: This function can be employed to monitor data integrity within academic databases. By detecting plaintext student IDs, it can highlight areas where sensitive information might be improperly handled or stored, allowing for timely corrective action.

  • Access Control Enhancement: Schools can use this classification to enhance their access control mechanisms. By identifying plaintext student IDs, they can restrict access to sensitive data and ensure that only authorized personnel can view or manipulate such information.

  • Automated Reporting: Institutions can leverage this function to automate reporting of sensitive data exposure. By producing alerts or reports when student IDs are in plaintext, administrators can facilitate better tracking and auditing processes related to data security.

  • Data Migration Security: During data migration procedures, this function can check for the security of student IDs. Identifying those that are in plaintext allows for immediate remediation, ensuring that sensitive data is encrypted before being moved to a new system.

  • Curriculum Development Insights: Educators can analyze the presence of plaintext student IDs in their curricula to gather insights on data handling practices. This can inform better educational approaches to teach students about data privacy and security in an increasingly digital world.

  • Third-Party Vendor Assessments: When partnering with third-party vendors, this classification function can assist in evaluating their data security practices. By confirming the handling of student IDs, institutions can ensure that vendors comply with their data protection standards.

Want this classifier for your business?

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

Get Access