Security by Design (also “Secure by Design” or “Integrated Security”) is a development approach that integrates security from the earliest stages of system, application, and process design, rather than adding it as an afterthought. This approach is fundamental for reducing attack surface, minimizing vulnerabilities, and reducing remediation costs, being more effective and economical than trying to add security after development, and requires development teams to consider security aspects such as authentication, authorization, encryption, secret management, and data protection from the beginning of the development lifecycle.

What is Security by Design?

Security by Design is a methodology that considers security as a fundamental requirement from the beginning of the development lifecycle, ensuring that security controls are naturally and efficiently integrated into the design.

Fundamental Principles

Early Integration

  • From the Start: Security from the design phase
  • Fundamental Requirement: Security as a non-negotiable requirement
  • Lifecycle: Integration throughout the lifecycle
  • Culture: Security culture in development

Secure Design

  • Least Privilege Principle: Minimum necessary access
  • Fail Secure: Fail to secure state
  • Defense in Depth: Multiple security layers
  • Transparency: Transparent and auditable design

Continuous Improvement

  • Iterative: Continuous design improvement
  • Learning: Learning from incidents
  • Updates: Control updates
  • Innovation: Security innovation

Security by Design Methodologies

Secure Development Lifecycle (SDL)

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class SecureDevelopmentLifecycle:
    def __init__(self):
        self.phases = {
            'requirements': {
                'name': 'Security Requirements',
                'activities': [
                    'Security requirements gathering',
                    'Threat modeling',
                    'Security risk assessment',
                    'Compliance requirements'
                ],
                'deliverables': [
                    'Security requirements document',
                    'Threat model',
                    'Risk assessment report',
                    'Compliance matrix'
                ]
            },
            'design': {
                'name': 'Secure Design',
                'activities': [
                    'Security architecture design',
                    'Security control selection',
                    'Security pattern implementation',
                    'Security review'
                ],
                'deliverables': [
                    'Security architecture document',
                    'Security design patterns',
                    'Security control specifications',
                    'Design review report'
                ]
            },
            'implementation': {
                'name': 'Secure Implementation',
                'activities': [
                    'Secure coding practices',
                    'Code review',
                    'Static analysis',
                    'Security testing'
                ],
                'deliverables': [
                    'Secure code',
                    'Code review reports',
                    'Static analysis results',
                    'Security test results'
                ]
            },
            'testing': {
                'name': 'Security Testing',
                'activities': [
                    'Penetration testing',
                    'Vulnerability assessment',
                    'Security integration testing',
                    'Compliance testing'
                ],
                'deliverables': [
                    'Penetration test report',
                    'Vulnerability assessment',
                    'Security test results',
                    'Compliance report'
                ]
            },
            'deployment': {
                'name': 'Secure Deployment',
                'activities': [
                    'Security configuration',
                    'Security monitoring setup',
                    'Incident response preparation',
                    'Security training'
                ],
                'deliverables': [
                    'Security configuration guide',
                    'Monitoring setup',
                    'Incident response plan',
                    'Training materials'
                ]
            },
            'maintenance': {
                'name': 'Security Maintenance',
                'activities': [
                    'Security monitoring',
                    'Vulnerability management',
                    'Security updates',
                    'Security reviews'
                ],
                'deliverables': [
                    'Monitoring reports',
                    'Vulnerability reports',
                    'Update procedures',
                    'Review reports'
                ]
            }
        }
        
        self.security_gates = {}
        self.quality_metrics = {}
    
    def define_security_gate(self, phase, gate_config):
        """Define security gate"""
        self.security_gates[phase] = {
            'phase': phase,
            'criteria': gate_config['criteria'],
            'checklist': gate_config['checklist'],
            'approval_required': gate_config.get('approval_required', True),
            'automated_checks': gate_config.get('automated_checks', [])
        }
    
    def evaluate_security_gate(self, phase, project_data):
        """Evaluate security gate"""
        if phase not in self.security_gates:
            return {'status': 'no_gate', 'message': 'No security gate defined'}
        
        gate = self.security_gates[phase]
        results = {
            'phase': phase,
            'criteria_met': [],
            'criteria_failed': [],
            'checklist_completed': [],
            'checklist_pending': [],
            'automated_checks': {},
            'overall_status': 'pending'
        }
        
        # Evaluate criteria
        for criterion in gate['criteria']:
            if self.evaluate_criterion(criterion, project_data):
                results['criteria_met'].append(criterion)
            else:
                results['criteria_failed'].append(criterion)
        
        # Evaluate checklist
        for item in gate['checklist']:
            if self.evaluate_checklist_item(item, project_data):
                results['checklist_completed'].append(item)
            else:
                results['checklist_pending'].append(item)
        
        # Execute automated checks
        for check in gate['automated_checks']:
            check_result = self.run_automated_check(check, project_data)
            results['automated_checks'][check] = check_result
        
        # Determine overall status
        if (len(results['criteria_failed']) == 0 and 
            len(results['checklist_pending']) == 0):
            results['overall_status'] = 'passed'
        else:
            results['overall_status'] = 'failed'
        
        return results
    
    def evaluate_criterion(self, criterion, project_data):
        """Evaluate specific criterion"""
        # Simplified implementation
        criterion_checks = {
            'security_requirements_defined': 'security_requirements' in project_data,
            'threat_model_completed': 'threat_model' in project_data,
            'security_architecture_reviewed': 'security_architecture' in project_data,
            'code_review_completed': 'code_review' in project_data,
            'security_tests_passed': 'security_tests' in project_data
        }
        
        return criterion_checks.get(criterion, False)
    
    def evaluate_checklist_item(self, item, project_data):
        """Evaluate checklist item"""
        # Simplified implementation
        checklist_checks = {
            'security_documentation': 'security_docs' in project_data,
            'vulnerability_scan': 'vuln_scan' in project_data,
            'penetration_test': 'pen_test' in project_data,
            'security_training': 'security_training' in project_data
        }
        
        return checklist_checks.get(item, False)
    
    def run_automated_check(self, check_name, project_data):
        """Execute automated check"""
        automated_checks = {
            'static_analysis': self.run_static_analysis(project_data),
            'dependency_scan': self.run_dependency_scan(project_data),
            'configuration_scan': self.run_configuration_scan(project_data),
            'compliance_check': self.run_compliance_check(project_data)
        }
        
        return automated_checks.get(check_name, {'status': 'not_implemented'})
    
    def run_static_analysis(self, project_data):
        """Execute static analysis"""
        # Simulate static analysis
        issues = [
            {'type': 'security', 'severity': 'high', 'count': 2},
            {'type': 'quality', 'severity': 'medium', 'count': 5},
            {'type': 'performance', 'severity': 'low', 'count': 3}
        ]
        
        return {
            'status': 'completed',
            'issues_found': len(issues),
            'security_issues': len([i for i in issues if i['type'] == 'security']),
            'issues': issues
        }
    
    def run_dependency_scan(self, project_data):
        """Execute dependency scan"""
        # Simulate dependency scan
        vulnerabilities = [
            {'package': 'lodash', 'version': '4.17.15', 'severity': 'high'},
            {'package': 'jquery', 'version': '3.4.1', 'severity': 'medium'}
        ]
        
        return {
            'status': 'completed',
            'vulnerabilities_found': len(vulnerabilities),
            'vulnerabilities': vulnerabilities
        }
    
    def run_configuration_scan(self, project_data):
        """Execute configuration scan"""
        # Simulate configuration scan
        misconfigurations = [
            {'type': 'weak_cipher', 'severity': 'high'},
            {'type': 'default_password', 'severity': 'critical'},
            {'type': 'unnecessary_service', 'severity': 'medium'}
        ]
        
        return {
            'status': 'completed',
            'misconfigurations_found': len(misconfigurations),
            'misconfigurations': misconfigurations
        }
    
    def run_compliance_check(self, project_data):
        """Execute compliance check"""
        # Simulate compliance check
        compliance_checks = {
            'ISO_27001': {'status': 'passed', 'score': 85},
            'GDPR': {'status': 'passed', 'score': 90},
            'PCI_DSS': {'status': 'failed', 'score': 70}
        }
        
        return {
            'status': 'completed',
            'compliance_checks': compliance_checks,
            'overall_compliance': 'partial'
        }

# Usage example
sdl = SecureDevelopmentLifecycle()

# Define security gate for design phase
sdl.define_security_gate('design', {
    'criteria': [
        'security_requirements_defined',
        'threat_model_completed',
        'security_architecture_reviewed'
    ],
    'checklist': [
        'security_documentation',
        'vulnerability_scan'
    ],
    'automated_checks': ['static_analysis', 'dependency_scan']
})

# Evaluate security gate
project_data = {
    'security_requirements': True,
    'threat_model': True,
    'security_architecture': True,
    'security_docs': True,
    'vuln_scan': True
}

gate_result = sdl.evaluate_security_gate('design', project_data)
print(f"Security gate result: {gate_result['overall_status']}")

Threat Modeling

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class ThreatModeling:
    def __init__(self):
        self.threat_models = {}
        self.threat_categories = {
            'Spoofing': 'Identity spoofing',
            'Tampering': 'Data modification',
            'Repudiation': 'Action repudiation',
            'Information_Disclosure': 'Information disclosure',
            'Denial_of_Service': 'Denial of service',
            'Elevation_of_Privilege': 'Privilege elevation'
        }
        
        self.threat_vectors = {}
        self.mitigation_strategies = {}
    
    def create_threat_model(self, model_id, system_config):
        """Create threat model"""
        self.threat_models[model_id] = {
            'model_id': model_id,
            'system_name': system_config['system_name'],
            'components': system_config.get('components', []),
            'data_flows': system_config.get('data_flows', []),
            'trust_boundaries': system_config.get('trust_boundaries', []),
            'threats': [],
            'mitigations': [],
            'risk_level': 'unknown',
            'created_date': datetime.now()
        }
        
        # Generate threats automatically
        self.generate_threats(model_id)
        
        return self.threat_models[model_id]
    
    def generate_threats(self, model_id):
        """Generate threats for model"""
        if model_id not in self.threat_models:
            return
        
        model = self.threat_models[model_id]
        threats = []
        
        # Generate threats based on components
        for component in model['components']:
            component_threats = self.analyze_component_threats(component)
            threats.extend(component_threats)
        
        # Generate threats based on data flows
        for data_flow in model['data_flows']:
            flow_threats = self.analyze_data_flow_threats(data_flow)
            threats.extend(flow_threats)
        
        # Generate threats based on trust boundaries
        for boundary in model['trust_boundaries']:
            boundary_threats = self.analyze_boundary_threats(boundary)
            threats.extend(boundary_threats)
        
        model['threats'] = threats
        model['risk_level'] = self.calculate_overall_risk(threats)
    
    def analyze_component_threats(self, component):
        """Analyze component threats"""
        threats = []
        
        component_type = component.get('type', 'unknown')
        
        if component_type == 'web_server':
            threats.extend([
                {
                    'id': f"THREAT-{component['id']}-001",
                    'category': 'Spoofing',
                    'description': 'Identity spoofing on web server',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'component': component['id']
                },
                {
                    'id': f"THREAT-{component['id']}-002",
                    'category': 'Tampering',
                    'description': 'Data modification on web server',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'component': component['id']
                }
            ])
        elif component_type == 'database':
            threats.extend([
                {
                    'id': f"THREAT-{component['id']}-001",
                    'category': 'Information_Disclosure',
                    'description': 'Database information disclosure',
                    'likelihood': 'low',
                    'impact': 'critical',
                    'component': component['id']
                },
                {
                    'id': f"THREAT-{component['id']}-002",
                    'category': 'Tampering',
                    'description': 'Database data modification',
                    'likelihood': 'low',
                    'impact': 'critical',
                    'component': component['id']
                }
            ])
        
        return threats
    
    def analyze_data_flow_threats(self, data_flow):
        """Analyze data flow threats"""
        threats = []
        
        flow_type = data_flow.get('type', 'unknown')
        
        if flow_type == 'http':
            threats.extend([
                {
                    'id': f"THREAT-FLOW-{data_flow['id']}-001",
                    'category': 'Tampering',
                    'description': 'Data modification in HTTP traffic',
                    'likelihood': 'medium',
                    'impact': 'medium',
                    'data_flow': data_flow['id']
                },
                {
                    'id': f"THREAT-FLOW-{data_flow['id']}-002",
                    'category': 'Information_Disclosure',
                    'description': 'HTTP data interception',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'data_flow': data_flow['id']
                }
            ])
        elif flow_type == 'database_connection':
            threats.extend([
                {
                    'id': f"THREAT-FLOW-{data_flow['id']}-001",
                    'category': 'Information_Disclosure',
                    'description': 'Database connection interception',
                    'likelihood': 'low',
                    'impact': 'critical',
                    'data_flow': data_flow['id']
                }
            ])
        
        return threats
    
    def analyze_boundary_threats(self, boundary):
        """Analyze trust boundary threats"""
        threats = []
        
        boundary_type = boundary.get('type', 'unknown')
        
        if boundary_type == 'network':
            threats.extend([
                {
                    'id': f"THREAT-BOUNDARY-{boundary['id']}-001",
                    'category': 'Spoofing',
                    'description': 'Spoofing across network boundary',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'boundary': boundary['id']
                },
                {
                    'id': f"THREAT-BOUNDARY-{boundary['id']}-002",
                    'category': 'Tampering',
                    'description': 'Data modification across network boundary',
                    'likelihood': 'medium',
                    'impact': 'high',
                    'boundary': boundary['id']
                }
            ])
        
        return threats
    
    def calculate_overall_risk(self, threats):
        """Calculate overall risk"""
        if not threats:
            return 'low'
        
        risk_scores = {
            'low': 1,
            'medium': 2,
            'high': 3,
            'critical': 4
        }
        
        total_score = 0
        for threat in threats:
            likelihood_score = risk_scores.get(threat['likelihood'], 1)
            impact_score = risk_scores.get(threat['impact'], 1)
            total_score += likelihood_score * impact_score
        
        average_score = total_score / len(threats)
        
        if average_score >= 3.5:
            return 'critical'
        elif average_score >= 2.5:
            return 'high'
        elif average_score >= 1.5:
            return 'medium'
        else:
            return 'low'
    
    def suggest_mitigations(self, model_id):
        """Suggest mitigations for model"""
        if model_id not in self.threat_models:
            return []
        
        model = self.threat_models[model_id]
        mitigations = []
        
        for threat in model['threats']:
            threat_mitigations = self.get_threat_mitigations(threat)
            mitigations.extend(threat_mitigations)
        
        # Remove duplicates
        unique_mitigations = []
        seen = set()
        for mitigation in mitigations:
            mitigation_key = (mitigation['type'], mitigation['description'])
            if mitigation_key not in seen:
                unique_mitigations.append(mitigation)
                seen.add(mitigation_key)
        
        return unique_mitigations
    
    def get_threat_mitigations(self, threat):
        """Get mitigations for specific threat"""
        mitigations = []
        
        category = threat['category']
        
        if category == 'Spoofing':
            mitigations.append({
                'type': 'Authentication',
                'description': 'Implement multi-factor authentication',
                'effectiveness': 'high',
                'cost': 'medium'
            })
        elif category == 'Tampering':
            mitigations.append({
                'type': 'Integrity',
                'description': 'Implement digital signatures',
                'effectiveness': 'high',
                'cost': 'medium'
            })
        elif category == 'Information_Disclosure':
            mitigations.append({
                'type': 'Encryption',
                'description': 'Implement data encryption',
                'effectiveness': 'high',
                'cost': 'low'
            })
        elif category == 'Denial_of_Service':
            mitigations.append({
                'type': 'Availability',
                'description': 'Implement rate limiting',
                'effectiveness': 'medium',
                'cost': 'low'
            })
        
        return mitigations

# Usage example
threat_modeling = ThreatModeling()

# Create threat model
system_config = {
    'system_name': 'E-commerce Platform',
    'components': [
        {'id': 'web_server', 'type': 'web_server', 'name': 'Web Server'},
        {'id': 'database', 'type': 'database', 'name': 'Customer Database'},
        {'id': 'payment_gateway', 'type': 'external_service', 'name': 'Payment Gateway'}
    ],
    'data_flows': [
        {'id': 'user_to_web', 'type': 'http', 'source': 'user', 'destination': 'web_server'},
        {'id': 'web_to_db', 'type': 'database_connection', 'source': 'web_server', 'destination': 'database'},
        {'id': 'web_to_payment', 'type': 'https', 'source': 'web_server', 'destination': 'payment_gateway'}
    ],
    'trust_boundaries': [
        {'id': 'internet_to_dmz', 'type': 'network', 'name': 'Internet to DMZ'},
        {'id': 'dmz_to_internal', 'type': 'network', 'name': 'DMZ to Internal'}
    ]
}

threat_model = threat_modeling.create_threat_model('TM-001', system_config)
print(f"Threat model created: {threat_model['system_name']}")
print(f"Risk level: {threat_model['risk_level']}")
print(f"Threats identified: {len(threat_model['threats'])}")

# Suggest mitigations
mitigations = threat_modeling.suggest_mitigations('TM-001')
print(f"Suggested mitigations: {len(mitigations)}")

Secure Coding Practices

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class SecureCodingPractices:
    def __init__(self):
        self.coding_standards = {
            'input_validation': {
                'name': 'Input Validation',
                'description': 'Validate all user inputs',
                'examples': [
                    'Use parameterized queries',
                    'Validate input length and format',
                    'Sanitize user input',
                    'Use whitelist validation'
                ],
                'anti_patterns': [
                    'Direct string concatenation in SQL',
                    'Trusting user input without validation',
                    'Using blacklist validation only'
                ]
            },
            'authentication': {
                'name': 'Authentication',
                'description': 'Implement secure authentication',
                'examples': [
                    'Use strong password policies',
                    'Implement multi-factor authentication',
                    'Use secure session management',
                    'Implement account lockout'
                ],
                'anti_patterns': [
                    'Storing passwords in plain text',
                    'Weak password requirements',
                    'Session fixation vulnerabilities'
                ]
            },
            'authorization': {
                'name': 'Authorization',
                'description': 'Implement proper authorization',
                'examples': [
                    'Implement role-based access control',
                    'Check permissions for each request',
                    'Use principle of least privilege',
                    'Implement proper session management'
                ],
                'anti_patterns': [
                    'Client-side authorization only',
                    'Missing authorization checks',
                    'Privilege escalation vulnerabilities'
                ]
            },
            'cryptography': {
                'name': 'Cryptography',
                'description': 'Use cryptography properly',
                'examples': [
                    'Use proven cryptographic algorithms',
                    'Generate secure random numbers',
                    'Use proper key management',
                    'Implement secure communication'
                ],
                'anti_patterns': [
                    'Rolling your own crypto',
                    'Using weak algorithms',
                    'Hardcoded encryption keys'
                ]
            },
            'error_handling': {
                'name': 'Error Handling',
                'description': 'Handle errors securely',
                'examples': [
                    'Don\'t expose sensitive information',
                    'Log errors securely',
                    'Use generic error messages',
                    'Implement proper exception handling'
                ],
                'anti_patterns': [
                    'Exposing stack traces',
                    'Revealing system information',
                    'Insufficient error logging'
                ]
            }
        }
        
        self.code_review_checklist = {}
        self.static_analysis_rules = {}
    
    def create_code_review_checklist(self, language):
        """Create code review checklist"""
        language_checklists = {
            'python': [
                'Input validation implemented',
                'SQL injection prevention',
                'XSS prevention',
                'Authentication implemented',
                'Authorization checks present',
                'Error handling secure',
                'Logging implemented',
                'Dependencies up to date'
            ],
            'javascript': [
                'Input validation on client and server',
                'XSS prevention',
                'CSRF protection',
                'Secure authentication',
                'Authorization checks',
                'Error handling secure',
                'Dependencies up to date',
                'Content Security Policy'
            ],
            'java': [
                'Input validation implemented',
                'SQL injection prevention',
                'XSS prevention',
                'Authentication implemented',
                'Authorization checks present',
                'Error handling secure',
                'Logging implemented',
                'Dependencies up to date'
            ]
        }
        
        self.code_review_checklist[language] = language_checklists.get(language, [])
        return self.code_review_checklist[language]
    
    def analyze_code_security(self, code_file, language):
        """Analyze code security"""
        analysis_result = {
            'file': code_file,
            'language': language,
            'security_issues': [],
            'compliance_score': 0.0,
            'recommendations': []
        }
        
        # Simulate security analysis
        security_issues = self.simulate_security_analysis(code_file, language)
        analysis_result['security_issues'] = security_issues
        
        # Calculate compliance score
        checklist = self.create_code_review_checklist(language)
        compliance_score = self.calculate_compliance_score(code_file, checklist)
        analysis_result['compliance_score'] = compliance_score
        
        # Generate recommendations
        recommendations = self.generate_recommendations(security_issues, compliance_score)
        analysis_result['recommendations'] = recommendations
        
        return analysis_result
    
    def simulate_security_analysis(self, code_file, language):
        """Simulate security analysis"""
        issues = []
        
        # Simulate detection of common issues
        if 'password' in code_file.lower():
            issues.append({
                'type': 'hardcoded_password',
                'severity': 'high',
                'line': 15,
                'description': 'Hardcoded password detected',
                'recommendation': 'Use environment variables or secure configuration'
            })
        
        if 'sql' in code_file.lower() and 'concatenation' in code_file.lower():
            issues.append({
                'type': 'sql_injection',
                'severity': 'critical',
                'line': 42,
                'description': 'Potential SQL injection vulnerability',
                'recommendation': 'Use parameterized queries'
            })
        
        if 'eval(' in code_file.lower():
            issues.append({
                'type': 'code_injection',
                'severity': 'critical',
                'line': 28,
                'description': 'Use of eval() function detected',
                'recommendation': 'Avoid eval() and use safer alternatives'
            })
        
        return issues
    
    def calculate_compliance_score(self, code_file, checklist):
        """Calculate compliance score"""
        total_checks = len(checklist)
        passed_checks = 0
        
        # Simulate checklist verification
        for check in checklist:
            if self.simulate_check_passing(check, code_file):
                passed_checks += 1
        
        return (passed_checks / total_checks * 100) if total_checks > 0 else 0
    
    def simulate_check_passing(self, check, code_file):
        """Simulate if a check passes"""
        # Simplified simulation
        check_keywords = {
            'input validation': ['validate', 'sanitize', 'filter'],
            'sql injection prevention': ['parameterized', 'prepared', 'bind'],
            'xss prevention': ['escape', 'encode', 'sanitize'],
            'authentication': ['auth', 'login', 'password'],
            'authorization': ['permission', 'role', 'access'],
            'error handling': ['try', 'catch', 'exception'],
            'logging': ['log', 'logger', 'audit']
        }
        
        keywords = check_keywords.get(check.lower(), [])
        return any(keyword in code_file.lower() for keyword in keywords)
    
    def generate_recommendations(self, security_issues, compliance_score):
        """Generate recommendations"""
        recommendations = []
        
        if compliance_score < 70:
            recommendations.append('Improve overall code security compliance')
        
        if any(issue['severity'] == 'critical' for issue in security_issues):
            recommendations.append('Address critical security issues immediately')
        
        if any(issue['type'] == 'sql_injection' for issue in security_issues):
            recommendations.append('Implement parameterized queries')
        
        if any(issue['type'] == 'hardcoded_password' for issue in security_issues):
            recommendations.append('Use secure configuration management')
        
        if compliance_score < 50:
            recommendations.append('Consider security training for development team')
        
        return recommendations
    
    def get_secure_coding_guidelines(self, language):
        """Get secure coding guidelines"""
        guidelines = {
            'python': {
                'input_validation': 'Use libraries like validators or cerberus',
                'sql_injection': 'Use SQLAlchemy ORM or parameterized queries',
                'xss_prevention': 'Use Jinja2 auto-escaping',
                'authentication': 'Use libraries like Flask-Login or Django auth',
                'cryptography': 'Use cryptography library for encryption'
            },
            'javascript': {
                'input_validation': 'Use libraries like Joi or Yup',
                'xss_prevention': 'Use DOMPurify for sanitization',
                'csrf_protection': 'Use CSRF tokens',
                'authentication': 'Use JWT with proper validation',
                'cryptography': 'Use Web Crypto API or crypto-js'
            },
            'java': {
                'input_validation': 'Use Bean Validation (JSR-303)',
                'sql_injection': 'Use PreparedStatement',
                'xss_prevention': 'Use OWASP Java Encoder',
                'authentication': 'Use Spring Security',
                'cryptography': 'Use Java Cryptography Extension (JCE)'
            }
        }
        
        return guidelines.get(language, {})

# Usage example
secure_coding = SecureCodingPractices()

# Create checklist for Python
python_checklist = secure_coding.create_code_review_checklist('python')
print(f"Python checklist: {python_checklist}")

# Analyze sample code
sample_code = """
def login(username, password):
    query = "SELECT * FROM users WHERE username = '" + username + "' AND password = '" + password + "'"
    result = execute_query(query)
    return result
"""

analysis = secure_coding.analyze_code_security(sample_code, 'python')
print(f"Security analysis: {analysis['compliance_score']:.1f}% compliance")
print(f"Issues found: {len(analysis['security_issues'])}")

# Get coding guidelines
guidelines = secure_coding.get_secure_coding_guidelines('python')
print(f"Python guidelines: {list(guidelines.keys())}")

Best Practices

Process Integration

  • Security Culture: Foster security culture
  • Training: Continuous team training
  • Tools: Secure development tools
  • Processes: Integrated security processes

Secure Design

  • Principles: Apply security principles
  • Patterns: Use secure design patterns
  • Architecture: Design secure architecture
  • Review: Security design review

Implementation

  • Secure Code: Write secure code
  • Testing: Security testing
  • Review: Code review
  • Automation: Automation of checks

References