The Anatomy of Modern Endpoint Detection and Response

From Kernel Hooks to Zero Trust — A Security Professional’s Guide

Introduction: Why Endpoints Matter More Than Ever

1. What You Will Learn
2. Who This Book Is For
3. How to Read This Book
4. A Note on Scope and Limitations

Chapter 1: The Endpoint Awakening

1. The Signature Era and Its Limits
2. When Antivirus Failed — Key Breaches That Changed Everything
3. The Birth of EDR as a Category
4. Why Endpoints Became the New Battleground

Chapter 2: The Modern Threat Landscape

1. Living-off-the-Land Techniques
2. Fileless Malware and Memory-Only Attacks
3. Supply Chain and Initial Access Brokers
4. The MITRE ATT&CK Framework as a Lens
5. Ransomware Economics and Endpoint Targeting

Chapter 3: EDR Architecture Fundamentals

1. The EDR Agent — Design and Deployment
2. Data Collection Pipeline Architecture
3. Cloud vs On-Premises Backend Models
4. Performance Overhead and Resource Management
5. Multi-Tenant and Enterprise Scale Considerations

Chapter 4: Kernel-Level Hooks and System Instrumentation

1. Windows ETW and Sysmon — The Telemetry Backbone
2. Linux Audit Subsystem and eBPF
3. Kernel Callbacks and SSDT Hooking
4. Process Injection Detection Mechanisms
5. File System Filter Drivers

Chapter 5: Behavioral Telemetry and Signal Engineering

1. Process and Execution Telemetry
2. Network Connection and DNS Signals
3. File System and Registry Activity
4. User and Authentication Events
5. Signal-to-Noise Ratio — The Core Challenge

Chapter 6: Rule-Based Detection and Signature Engineering

1. YARA Rules for Endpoint Detection
2. Sigma Rules and Normalized Detection
3. Heuristic Analysis Engines
4. Detection as Code Practices
5. Tuning and Reducing False Positives

Chapter 7: Machine Learning in Endpoint Security

1. Supervised Learning for Malware Classification
2. Unsupervised Anomaly Detection at Scale
3. Behavioral Scoring and Risk Models
4. Model Training Data and Feature Engineering
5. A Walkthrough — Building a Behavioral Anomaly Detection Model
6. Adversarial ML — Attacking the Detector

Chapter 8: Threat Hunting Methodologies

1. Hypothesis-Driven Threat Hunting
2. Intelligence-Led Hunting from Indicators
3. Data-Driven Anomaly Investigation
4. Building a Threat Hunting Program
5. Real-World Hunt Case Studies

Chapter 9: Incident Response and Automated Playbooks

1. Containment Strategies — Isolate, Block, Kill
2. Automated Response Playbooks
3. Forensic Data Collection at the Endpoint
4. Memory Dumping and Artifact Preservation
5. Integration with SOAR Platforms

Chapter 10: Integration with Zero Trust Architecture

1. Zero Trust Principles and Endpoint Posture
2. Device Health Attestation and Conditional Access
3. Identity-Aware Endpoint Security
4. Microsegmentation and Lateral Movement Prevention
5. Continuous Verification in Practice
6. A Walkthrough — Implementing EDR-Based Conditional Access at Scale
7. Continuous Verification in Practice (Revisited)

Chapter 11: The XDR Evolution and Beyond

1. From EDR to XDR — Data Convergence
2. Cloud-Native Endpoint Protection
3. AI-Assisted Analysis and Auto-Investigation
4. The Role of Open Source and OSSEC Modern Successors
5. Future Trends and Emerging Capabilities

Chapter 12: Building and Operating an EDR Program

1. Vendor Selection and Evaluation Criteria
2. Deployment Strategies — Phased Rollout
3. A Walkthrough — Deploying EDR at a 10,000-Endpoint Organization
4. Tuning for Your Environment
5. Building the SOC Team Around EDR
6. Measuring ROI and Program Maturity

Conclusion: The Endpoint as Security Foundation

References