// Comparison

Data Engineering for Cybersecurity vs Evading EDR: Which Should You Read?

Two cybersecurity books on Detection, compared honestly: who each is for, what each does best, and which to read first.

Advanced

4/52025

Build Secure Data Pipelines with Free and Open-Source Tools

James Bonifield

A decade-plus threat analyst teaches how to collect, normalize, enrich, and secure the telemetry (logs, events, metrics) that security teams depend on, using open-source tools like Filebeat, Logstash, Redis, Kafka, and Elasticsearch.

Advanced

4/52024

Evading EDR

The Definitive Guide to Defeating Endpoint Detection Systems

Matt Hand

A component-by-component teardown of how modern EDR sensors actually collect telemetry, and where each data source can be starved, blinded, or bypassed.

Read this if

Detection engineers and SOC analysts who are tired of telemetry that doesn't organize itself and want to build the pipeline rather than just consume whatever the SIEM vendor provides. Covers collecting from Windows (Sysmon, PowerShell events), Linux (files, syslog), and network/security appliances, then transforming, securing, and automating with Ansible.

Red teamers and detection engineers who want to reason about EDR from the sensor up rather than copy-pasting the bypass of the week.

Skip this if

Readers looking for detection logic or threat hunting technique itself; this is the plumbing underneath those activities; not the analysis built on top of it. Also assumes comfort with Linux systems administration and basic scripting.

Anyone wanting a turnkey list of working bypasses. Skip this if you don't run Windows or won't sit through the internals.

Key takeaways

Treats telemetry as an engineering problem with its own lifecycle (collect, normalize, enrich, secure) rather than something a SIEM magically handles.
Built entirely on free, open-source tooling (Filebeat, Logstash, Redis, Kafka, Elasticsearch), so the pipeline design is reproducible without a vendor contract.
Automating deployment with Ansible is treated as part of the job, not an afterthought — the pipeline has to be maintainable, not just functional once.

EDR is a collection of telemetry sources, not a monolith; evasion means knowing which source sees what.
Most durable bypasses attack the sensor's data collection, not its detection logic.
Vendor-agnostic understanding outlives any specific bypass, which vendors patch fast.

How they compare

Data Engineering for Cybersecurity and Evading EDR are both rated 4/5 in our catalog. Pick by topic preference and reading style rather than by rating.

Both books target advanced-level readers, so the choice is about topic, not difficulty.

Data Engineering for Cybersecurity and Evading EDR both cover Detection, so reading them in sequence reinforces the same material from different angles.

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Data Engineering for Cybersecurity

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