Identify if aws credentials are in pull requests
using AI
Below is a free classifier to identify if aws credentials are in pull requests. Just input your text, and our AI will predict if AWS credentials are exposed - in just seconds.
Contact us for API access
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-aws-credentials-are-in-pull-requests", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-aws-credentials-are-in-pull-requests/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-aws-credentials-are-in-pull-requests/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if AWS credentials are exposed.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Aws Credentials and Does Not Contain Aws Credentials.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if AWS credentials are exposed).
Whether you're just curious or building if aws credentials are in pull requests detection into your application, we hope our classifier proves helpful.
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Need to identify if aws credentials are in pull requests at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Security Compliance Monitoring: Organizations can leverage the text classification function to proactively identify AWS credentials in pull requests. This helps maintain compliance with security best practices by preventing sensitive information from being inadvertently exposed in source code.
- Incident Response Automation: By integrating this function into the CI/CD pipeline, teams can automate responses to security incidents when AWS credentials are detected. This can trigger automatic workflows, such as notifying security teams or reverting the pull request to mitigate risks swiftly.
- Developer Training and Awareness: The classification function can be utilized to generate reports on instances where AWS credentials were found in pull requests. This data can be used to train developers on the importance of credential management and enhance their awareness of security practices.
- Audit Trail Creation: Tracking the occurrence of AWS credentials in pull requests can contribute to a comprehensive audit trail for security and compliance reviews. This allows organizations to better understand historical patterns and improve their security posture.
- Policy Enforcement: The function can support enforcing organizational policies regarding credential management by flagging non-compliance in code submissions. This ensures that developers adhere to set guidelines and minimizes the risk of credential leaks.
- Continuous Security Improvement: By analyzing the data collected from instances of found credentials, organizations can identify trends and improve security policies and training programs. This iterative approach promotes a culture of continuous security improvement among development teams.
- Risk Assessment and Mitigation: The text classification function aids in risk assessment by evaluating the frequency and context of AWS credentials in pull requests. This information can inform risk mitigation strategies, prioritizing security investments where credentials are most often mishandled.