Automated Security Engineering for Senior Data Engineers
Empower Senior Data Engineers with the skills to automate security within data infrastructure, ensuring robust protection and compliance.
...
Share
Introduction to Automated Security for Data Engineering
Unit 1: Fundamentals of Automated Security
Why Automate Security?
Core Principles
Data Engineering Landscape
Risk Assessment Basics
Compliance Landscape
Unit 2: Key Security Risks and Challenges
Data Breach Scenarios
Access Control Issues
Injection Attacks
Data Exfiltration Risks
Insider Threats
Unit 3: Benefits and Tools for Automation
Efficiency Gains
Improved Accuracy
Scalability
Terraform for Security
Cloud-Native Security
Infrastructure as Code (IaC) Security
Unit 1: IaC Security Fundamentals
IaC Security: Overview
Terraform vs. CloudFormation
Secure IaC Workflow
Unit 2: Implementing Security Policies in IaC
Policy as Code (PaC)
Sentinel Deep Dive
OPA for IaC Security
Custom Security Policies
Unit 3: Automated Compliance and Secrets Management
Compliance Automation
Secrets Management Intro
Vault Integration
Cloud Secrets Manager
Unit 4: Advanced IaC Security Techniques
Least Privilege IaC
Secure Bootstrapping
IaC Security Best Practices
Automated Vulnerability Scanning and Remediation
Unit 1: Fundamentals of Vulnerability Scanning
What is Vuln Scanning?
Scanning Methodologies
Common Vulnerabilities
Intro to Scanning Tools
Setting Up Your Scanner
Unit 2: Automating Vulnerability Scanning
Scripting Your Scans
API Integrations
Cloud-Native Scanning
Scanning Data Pipelines
Scanning Data Storage
Unit 3: Remediation and CI/CD Integration
Understanding Results
Automated Remediation
CI/CD Integration
Policy Enforcement
Feedback Loops
Security Monitoring and Alerting
Unit 1: Fundamentals of Security Monitoring
Intro to Security Monitoring
SIEM Tools Overview
Data Sources for Monitoring
Log Management Basics
Alerting Concepts
Unit 2: Implementing Security Monitoring with SIEM
Setting Up Splunk
ELK Stack Setup
Writing SIEM Queries
Creating Custom Alerts
SIEM Integrations
Unit 3: Automated Incident Response and Reporting
Incident Response Basics
Automating Response
Building Dashboards
Compliance Reporting
Staying Ahead
CI/CD Pipeline Security Automation
Unit 1: CI/CD Security Fundamentals
CI/CD Security: Why?
CI/CD Pipeline Stages
Securing the Foundation
Secrets Management 101
Secrets Vault Integration
Unit 2: Automated Security Testing
Static Code Analysis
Dynamic Analysis Intro
DAST Configuration
Dependency Scanning
Fuzzing for Security
Unit 3: Policy Enforcement and Deployment
Policy as Code
Gatekeeping the Pipeline
Secure Deployments
Vulnerability Tracking
Compliance Automation
Automated Data Access Control and Encryption
Unit 1: Fundamentals of Data Access Control and Encryption
Data Access Control Intro
Encryption Essentials
Key Management Basics
Unit 2: Automated Role-Based Access Control (RBAC)
RBAC Deep Dive
Vault for RBAC
Cloud IAM for RBAC
Unit 3: Automated Data Encryption
Encryption at Rest
Encryption in Transit
Key Rotation Automation
Unit 4: Data Masking and Anonymization Automation
Data Masking Techniques
Anonymization Methods
Automated Masking Policies
Automated Anonymization
Unit 5: Advanced Automation and Best Practices
Policy as Code
Compliance Automation
Security Best Practices
Advanced Security Automation Techniques and Best Practices
Unit 1: Advanced Threat Modeling and Simulation
Intro to Threat Modeling
STRIDE Deep Dive
Attack Simulation Basics
Simulating Data Breaches
Automated Attack Tools
Unit 2: Advanced Security Automation Techniques
Policy as Code (PaC)
Automated Anomaly Detection
Security Orchestration
Fuzzing Data Pipelines
Deception Technology
Unit 3: Compliance and Staying Current
Compliance Automation
Automated Auditing
Threat Intelligence Feeds
Staying Updated
Best Practices Summary