Identify if private key is in a configuration
using AI
Below is a free classifier to identify if private key is in a configuration. Just input your text, and our AI will predict if the private key is exposed or not - 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-private-key-is-in-a-configuration", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-private-key-is-in-a-configuration/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-private-key-is-in-a-configuration/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the private key is exposed or not.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Private Key and Does Not Contain Private Key.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the private key is exposed or not).
Whether you're just curious or building if private key is in a configuration detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if private key is in a configuration at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Configuration Security Audit: Implementing the private key identifier in configuration files allows organizations to conduct regular security audits. By automatically flagging configurations that contain sensitive private keys, teams can mitigate risks associated with key exposure and ensure compliance with security standards.
- Automated Vulnerability Management: Integrate the text classification function into existing vulnerability management systems. This would enable automatic detection of private keys within configuration files, allowing security teams to quickly remediate exposed keys and reduce the attack surface of applications.
- DevOps Pipeline Security Check: Embed the identifier as a security check in the CI/CD pipeline to prevent private keys from being deployed in application configurations. This proactive measure ensures that only secure configurations are pushed to production, enhancing overall application security.
- Incident Response Enhanced Visibility: During an incident response, security teams can utilize the identifier to quickly locate and assess configurations containing private keys. This streamlines the response process, allowing teams to contain and remediate potential breaches more effectively.
- Compliance Reporting: Leverage the identifier to generate compliance reports that highlight configurations containing private keys. This aids organizations in adhering to regulations such as GDPR and PCI DSS, which mandate the protection of sensitive information.
- Third-Party Vendor Risk Management: Use the private key identifier to evaluate third-party vendor configurations. Organizations can assess whether external partners are handling sensitive key information securely, thereby mitigating risks introduced by vendor software or systems.
- Security Training and Awareness: Integrate the identifier into security training programs for developers and operations teams. By highlighting the importance of avoiding private key exposure in configurations, organizations can foster a culture of security and proper coding practices.