Audit Log #3

Detailed audit information

Code Snippet
def format_currency(amount, currency="USD"):
    if currency == "USD":
        return f"${amount:,.2f}"
    return f"{amount:,.2f} {currency}"
AI Auto-Generated Solutions
3 Options
Automatic Analysis Complete: The AI has detected code and automatically generated 3 alternative solutions. Original risk: 0.12
Basic Solution: Parameterization
Risk Level: 0.04 Improvement: 67%
Original Risk 0.12
New Risk 0.04
def format_currency(amount, currency="USD"):
    if currency == "USD":
        return f"${amount:,.2f}"
    return f"{amount:,.2f} {currency}"

Approach: Query parameterization

Replaces string concatenation with parameterized queries to prevent injection.

Intermediate Solution: Validation + Parameterization
Risk Level: 0.10 Improvement: 17%
Original Risk 0.12
New Risk 0.10

# Validación de entrada
def validate_input(value):
    if not value or not isinstance(value, str):
        raise ValueError("Entrada inválida")
    # Sanitizar entrada
    return value.strip()

def format_currency(amount, currency="USD"):
    if currency == "USD":
        return f"${amount:,.2f}"
    return f"{amount:,.2f} {currency}"

Approach: Input Validation + Parameterization

Adds input validation in addition to parameterization for greater security.

Advanced Solution: ORM + Full Validation
Risk Level: 0.26 Improvement: -117%
Original Risk 0.12
New Risk 0.26

# Solución con ORM (SQLAlchemy)
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

Base = declarative_base()

class User(Base):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    username = Column(String)
    
# Uso seguro con ORM
def get_user_safe(user_id):
    try:
        user = session.query(User).filter(User.id == user_id).first()
        return user
    except Exception as e:
        logger.error(f"Error: {e}")
        return None

Approach: ORM + Full Validation + Error Handling

Uses ORM (SQLAlchemy) for complete database abstraction with robust validation.

Review Required: Please review the AI-generated solutions and choose the most appropriate one for your use case. You can also edit any solution before applying it.
Review Comments

Approved: Safe string formatting operation.

Status

Approved

Risk Assessment

LOW

0.12
Details
Reviewer:
Elena Rostova
AI Model:
IBM Watsonx
Project:
Payment Gateway
Timestamp:
2026-05-17 01:11:37
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