Identify if database credentials are in documentation
using AI
Below is a free classifier to identify if database credentials are in documentation. Just input your text, and our AI will predict if database credentials are exposed - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-database-credentials-are-in-documentation", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-database-credentials-are-in-documentation/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-database-credentials-are-in-documentation/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if database credentials are exposed.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Credentials Found and Credentials Not Found.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if database credentials are exposed).
Whether you're just curious or building if database credentials are in documentation detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if database credentials are in documentation at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Security Compliance Audits: Organizations can utilize the text classification function to enhance their security compliance audits by automatically scanning documentation for database credentials. This allows compliance teams to ensure sensitive information is not exposed inappropriately, mitigating potential data breaches.
- Documentation Quality Assurance: Development teams can employ this function as part of their quality assurance process to identify instances where database credentials are mentioned in technical documentation. By flagging such occurrences, the team can revise the documentation to protect sensitive data and improve overall security practices.
- Automated Code Reviews: In software development, this function can be integrated into automated code review tools to check for hardcoded database credentials in associated documentation. This proactive measure helps developers adhere to best practices by eliminating potential security risks associated with exposing credentials.
- Incident Response Preparation: Security operations teams can leverage this function to quickly assess documentation for database credentials during incident response investigations. Identifying where credentials are documented can help teams understand potential vulnerabilities and respond effectively to security incidents.
- Database Migration Planning: When planning for database migrations, IT teams can use this function to locate all references to database credentials in existing documentation. This ensures that all sensitive access information is accounted for and appropriately handled during the migration process.
- Internal Training Resources: Organizations can utilize this function to improve their internal training materials by identifying documentation that may expose sensitive database credentials. By revising these materials, companies can create a safer training environment for employees, fostering responsible handling of sensitive information.
- Regulatory Reporting: Companies in regulated industries can implement this function to support their regulatory reporting efforts by searching for database credential disclosures in documentation. This proactive approach enables organizations to maintain compliance with industry regulations regarding data protection and breach notifications.