GenAI – How Will You Handle Secure Data In GenAI Pipeline ?

Table Of Content:

Identify & Classify Sensitive Data.
Secure Data At All Stages.
Data Minimization & Preprocessing.
Use Secure Model Hosting & Deployment.
Access Control & Monitoring.
Model Level Security Practices.
Compliance & Legal Safeguards.

(1) Identify & Classify Sensitive Data.

(2) Secure Data At All Stages

(3) Data Minimization & Preprocessing

(4) Use Secure Model Hosting & Deployment

(5) Access Control & Monitoring

(6) Model Level Security Practices.

(7) Compliance & Legal Safeguards

(8) Summary Checklist

(9) Security Level On ” Data At Rest “.

(10) Security Level On ” Data At Transit “.

(11) Security Level On ” Data On Use “.

(12) Input Sanitization

from presidio_analyzer import AnalyzerEngine
from presidio_anonymizer import AnonymizerEngine

analyzer = AnalyzerEngine()
anonymizer = AnonymizerEngine()

text = "My name is John and my phone is 123-456-7890"
results = analyzer.analyze(text=text, language="en")
redacted = anonymizer.anonymize(text=text, analyzer_results=results)

print(redacted.text)
# Output: "My name is <PERSON> and my phone is <PHONE_NUMBER>"