In-depth guides on detection engineering, threat hunting, and modern security operations.
Showing 19 guides
What is MITRE ATT&CK, and how do you use it to find what your defenses miss? Map, rank, and test technique coverage instead of trusting a green heatmap.
Learn how detection as code moves rules through Git, code review, and CI, what a detection test actually proves, and why test data is the hard half.
Learn how automated threat detection works at every hop, from log delivery to correlation and scoring, and which stage of your pipeline to automate next.
Detection engineering is a function, not a job title. Learn how to measure its rate, find the real bottleneck, automate the right step, and retire stale rules.
The detection engineering lifecycle explained in five stages, with the handoff between each stage named, its owner, and the point where the work usually stalls.
Learn why SIEM detection rules fail in production, what suppression really does in Splunk, Microsoft Sentinel, and Elastic, and how to tune without blind spots.
Five criteria for deciding which detection work gets funded, four SOC detection engineering metrics worth reporting to leadership, and how each gets gamed.
Learn what a threat intelligence platform ingests, scores, and exports, which seven functions are worth paying for, and where its output stops short of defense.
Threat hunting is the search for attacker activity no alert has flagged. Learn how a hunt runs from hypothesis to deployed detection, and how to measure it.
Proactive threat hunting covers the twelve days between a public CVE advisory and the first published detection rule, with a method for measuring your own gap.
Score threat intelligence against your own assets, identities, and telemetry to decide which reports earn a hunt, which need coverage work, and which get archived.
Compare threat hunting vs threat intelligence by what each answers, how each fails, and the hypothesis that turns an outside report into a query on your data.
Learn what AI threat hunting contributes to a hunt, where human analysts still outperform a model, and how to judge any vendor's detection accuracy claim.
Cloud threat hunting starts after the host is gone. Compare log sources and retention defaults across AWS, Azure, and Google Cloud, then scope your hunt.
EDR threat hunting means querying endpoint telemetry beyond what existing alerts cover. Get five hunts to run this week, the benign look-alikes, and five mistakes to avoid.
An agentic SOC that only starts when an alert fires inherits every blind spot of the stack that fired it. Learn what proactive agency requires and how to measure it.
Compare an autonomous SOC and a traditional SOC on what starts the work, how the night rota changes, and who stays accountable for the call to contain.
Agentic SOC architecture is read paths, agent identity, and context assembly. See what an AI agent must reach to hunt, and where federation and retention stop it.
Compare an AI SOC platform vs traditional SIEM as two layers: what each one decides, what cost pressure removes, and what your detection coverage rests on.