Description

A focused course, tailored for you

The Hyperscaler Security Engineer Detection Engineering Playbook

Turn a noisy detection backlog into a small set of high-signal rules, mapped to the controls auditors actually ask about.

The detection backlog is longer than the engineering capacity, and the next control review wants a clean line from threat to rule to evidence.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Security engineers inside hyperscale consumer platforms sit at the intersection of three pressures. Threat intel keeps producing new candidate detections. SRE keeps adding services that produce new log shapes. And internal audit keeps asking which detections satisfy which controls. The workflow most teams default to is rule-of-the-week: ship whatever the latest incident or threat-intel briefing surfaced, tune it informally, move on. The cost shows up six months later when a control review asks for evidence of coverage and there is no single document that ties detections to threats to controls to log sources. The fix is a detection-engineering workflow that treats each rule as a small artefact with a known purpose, a known owner, a known false-positive baseline, and a known evidence packet, so reviews close in one cycle and the backlog converges instead of growing.

What you walk away with

A backlog triage method that converges on a short list of high-signal detections instead of accumulating low-signal ones.
A log-source coverage map that shows which threats are covered, which are partially covered, and which are blind.
A rule authoring template that names threat, control, log source, expected true-positive rate, and tuning history on one page.
An evidence pack per detection that closes a control review without follow-up questions.
A tuning loop that drives false-positive rates down on a measurable cadence.

The 12 modules

Module 1. Detection backlog triage and prioritisation

How to score candidate detections by threat severity, log-source readiness, and control coverage gap, then cut a backlog of two hundred candidates to a working list of twenty. Worked example uses a backlog seeded from threat intel briefings, IR retros, and pen-test findings. Output is a triage spreadsheet template you can run weekly with your team lead.

Module 2. Threat model intake and rule scoping

How to translate a threat-intel report or an IR retrospective into a scoped rule specification before any query is written. Covers the question set that prevents rules from being over-broad or under-specified, the artefact that records the scope decision, and the handoff from intel analyst to detection engineer. Worked example uses a recent commodity malware family targeting build pipelines.

Module 3. Log source coverage maps

How to inventory the log sources the platform actually emits, score each for completeness and reliability, and produce a coverage map that shows which MITRE ATT&CK techniques are observable, which are partially observable, and which are blind. Output is a one-page coverage matrix that an audit reviewer can read in under two minutes.

Module 4. Rule authoring against MITRE ATT&CK

How to write a detection rule that names a specific ATT&CK technique, lists the data sources required, and includes a worked test case for both true positive and false positive. Covers structured rule metadata, naming conventions that survive a SIEM migration, and review checklists for peer review before merge.

Module 5. False-positive baselining and tuning loops

How to run a structured tuning loop on a new detection over the first two weeks in production, including the metric set that distinguishes signal noise from genuine adversary behaviour. Covers the tuning artefact that records each change and the decision rule for retiring a detection that cannot be tuned to an acceptable false-positive rate.

Module 6. Alert routing and on-call handoff

How to design alert routing so a detection lands in the right queue, with the right context, at the right severity, and with a known runbook. Covers the integration between detection metadata and the on-call rotation, the runbook template, and the feedback loop from on-call back into rule tuning.

Module 7. Detection-as-code pipelines

How to version rules in source control, run them through a CI pipeline with unit tests against historical telemetry, and promote them from staging to production with rollback. Covers the test corpus, the staging environment, the promotion gate, and the rollback path when a production rule starts firing thousands of alerts per hour.

Module 8. Mapping detections to internal controls

How to map each production detection to the internal security controls it satisfies, so that a control review can be answered with a query against the detection inventory rather than a manual evidence-gathering scramble. Covers the control taxonomy, the mapping artefact, and the audit query.

Module 9. Insider-threat and abuse-of-access detections

How to author detections for insider threat and abuse of privileged access without producing a flood of false positives that erode trust with the workforce. Covers the privacy and proportionality considerations, the technical patterns, and the escalation path that protects the analyst doing the review.

Module 10. Coverage for build, deploy, and supply chain

How to extend detection coverage from runtime workloads into the build and deploy pipeline, including artefact integrity, anomalous build behaviour, and supply-chain compromise signals. Worked example uses a recent supply-chain incident pattern and the detections that would have surfaced it within the first hour.

Module 11. Metrics that the security leadership actually reads

How to build a small metrics pack that the security leadership reads, covering detection coverage, mean time to triage, false-positive rate, and the trend over the last quarter. Covers the dashboard, the narrative that goes with the numbers, and the questions a director will ask in a quarterly review.

Module 12. The evidence pack that closes a control review

How to assemble the evidence pack that an internal or external reviewer needs to close a control review on detection capability in one cycle. Covers the document set, the sample selection, the response to common reviewer questions, and the artefact that becomes the input to next year's review.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 and 2 address the moment a new backlog item lands and the team has to decide if and how to ship it.

Module 3 to 7 cover the actual build cycle: coverage, authoring, tuning, routing, and pipeline.

Module 8 to 10 extend coverage into the harder areas of insider threat, supply chain, and control mapping.

Module 11 and 12 close the loop with the metrics and evidence the rest of the security program needs from detection engineering.

What you get with this course

Twelve written modules in the Art of Service learning environment.
Downloadable templates for triage scoring, rule metadata, coverage maps, tuning logs, and evidence packs.
Worked examples drawn from hyperscaler-scale telemetry patterns.
Hand-built implementation playbook delivered alongside course access, tailored to the backlog and stack the buyer is actually working with.
Thirty-day money-back guarantee.

What you will have in hand by Day 1, Week 1, Month 1

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

Modules are unlocked all at once. The expected reading pace is two modules per week over six weeks, alongside applying the templates to your own backlog.

Before and after

Before

Detections ship rule-of-the-week, the backlog grows faster than the team can clear it, and every control review turns into a manual evidence scramble.

After

Detections ship through a structured workflow, each one carries its own evidence pack, the backlog converges on a working list, and a control review closes with one query against the detection inventory.

What happens if you do not address this

The next control review pulls a sample of detections and asks for coverage evidence the team cannot produce in the time given, which surfaces as a finding and rolls into next year's audit plan.

Who it is for

A security engineer inside a hyperscaler or large platform company. Writes detections in a SIEM, EDR rule language, or a homegrown stream processor. Sits between threat intel, IR, and audit. Has a backlog longer than the team can ship and a control review at least once a year that pulls a sample of detections and asks for coverage evidence.

Who this is NOT for. Not for SOC analysts triaging alerts on a console. Not for CISOs writing program-level policy. Not for compliance generalists who do not write or own detections. The audience is the engineer who actually authors and tunes the rule.

How it arrives

Text-based course in the Art of Service learning environment, plus downloadable templates and worked examples for every module, plus the hand-built implementation playbook delivered alongside course access.

Time investment. About six weeks at two modules per week, with applied work on your own backlog between modules.

Why $199 is the right number

Vendor SIEM training teaches the query language. Threat-intel subscriptions deliver indicators. Neither closes the loop from threat to rule to control to evidence. This course is the operating workflow that ties those inputs to a defensible coverage story.

FAQ

Do I need a specific SIEM or EDR to use the material?

No. The workflow and templates are tool-neutral. Worked examples reference common query languages and rule formats so the patterns translate to whatever stack the buyer runs.

Is this aligned to MITRE ATT&CK?

Yes. Rule authoring and coverage mapping use ATT&CK technique IDs as the common vocabulary, with notes on where ATT&CK does not yet have a clean technique for a behaviour and how to handle that.

Will the implementation playbook reference my real backlog?

Yes. After purchase, the buyer shares a brief on the current backlog shape, log sources, and the control framework in scope. The playbook is hand-built against that input.

Does it cover insider-threat detection?

Yes. Module 9 covers insider threat and abuse-of-access detection with privacy and proportionality considerations baked in.

Is there a refund window?

Yes, thirty days from purchase.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.