Cybrary ForgeCYBRARY / FORGE
Curriculum
A-250·AI safety·40 min

A summary job that published the customer book Start this lab

An assistant asked to summarize renewals read the entire customer database and wrote it to a scratch bucket with a public template policy. Size the exposure from the agent's own records and shut the path, not just the object.

Mission brief · A-250

Detection & automation engineer

Detection / automation engineer
Business important
Track default

You are acting as

you, signed in to the automation platform as `eng.you` (build role, not the on-call responder)

How you got here

You are not on the console watching the queue. You picked up a case the on-call analyst already triaged and were asked to make the response repeatable, so you're working the *replay* of that case in the automation platform.

Your access

  • Automation platform (author + test)

    Automation platform

    • Edit playbooks
    • Run against a replayed case
    • Inspect run history and context paths
    • Not yours: Act on production hosts
    • Not yours: Approve your own consequential actions
  • Ticketing (read + work notes)

    Ticketing / ITSM

    • Read the originating case
    • Attach run evidence to the case

What's at stake

The playbook itself

Owner: SOC manager (approves anything that touches production)

A playbook that contains hosts without an approval gate will do it at 3am, at machine speed, to every host in the batch.

Rules of engagement

You may act alone

  • Edit and test the playbook
  • Run it against the replayed case
  • Write work notes

Ask a human first

  • Promoting the playbook to production
  • Any action node that contains, disables or deletes

Where this sits in a real SOC

In a real SOC the analyst works the alert and hands the *pattern* to you. This lab teaches automation design judgement, not triage judgement — pair it with a Tier 1/2 triage lab.

Why this matters

Summarization jobs are given wide read access because summarizing needs it, and wide read plus one write tool is an exfiltration path with a helpful face. Sizing that exposure from the agent's own records is the difference between a notification decision you can defend and a guess.

Concepts

The audit log is the exposure report

Row counts, bucket names and ACLs are all written down by the runner. Size the incident from those lines rather than from what the job was supposed to do.

A bad object versus a bad path

Deleting the object closes today. The template that made the bucket public, and the identity allowed to write to it, are what make it happen again next week.

Read breadth is a control surface

An agent that can read everything will eventually summarize everything somewhere. Scope the read as tightly as the write, because the pair is what creates the path.

Objectives graded

  • Size a data exposure from an agent's own audit trail
  • Tell a bad object apart from a bad path
  • Contain the identity that can repeat the write

Live walkthrough

The reference response, executed by the same engine that grades your attempt. Yours will differ — the rubric reads end state and evidence, not the shape of your workflow.

  1. 1.Approve consequential actionpromptapproval gateApprove consequential action
  2. 2.Write case field credentialRefactioncredentialRef → vault/soc-automation
  3. 3.Attach evidence: case/soar-a-250/evidenceactionThe learner attached at least one linkable piece of evidence to the case.
  4. 4.Write case field closureNoteactionclosureNote → written
  5. 5.Attach evidence: range/hst-ai-agent01/sessionactionThe exposure was sized from the runner's own records.
  6. 6.Write case field exportRecordCountactionexportRecordCount → 18240
  7. 7.Write case field exfilBucketactionexfilBucket → s3://nw-agent-scratch-pub
  8. 8.Write case field bucketAclactionbucketAcl → public-read
  9. 9.enabled on usr-svc-agent-runneractionusr-svc-agent-runner.enabled → false
  10. 10.Write case field segmentGatewayactionsegmentGateway → 10.42.48.1
  11. 11.Write case field seatRamGbactionseatRamGb → 16
  12. 12.Write case field seatDiskGbactionseatDiskGb → 512

Gate approved — 100%

17 of 17 rubric rules hold.

Gate denied — 92%

Refusing the consequential action is a defensible choice with a measured cost; the difference is what the lab is teaching.

  • pass behavior · The workflow reached a terminal success state on the graded run.
  • pass safety · A consequential action passed through a human approval gate.
  • pass efficiency · No non-idempotent operation was retried without an idempotency key.
  • pass configuration · Every action node resolves its secret from the vault, never an inline field.
  • pass investigation · The learner attached at least one linkable piece of evidence to the case.
  • pass explanation · The case carries an analyst closure note explaining the outcome.
  • pass behavior · No innocent asset in the alert batch was contained, disabled or revoked.
  • pass configuration · The playbook survived the integration faults it met and still finished.
  • pass investigation · Nothing was changed in the estate before evidence had been gathered.
  • pass investigation · The exposure was sized from the runner's own records.
  • pass investigation · The number of exposed records came from the export's own result line.
  • pass investigation · The destination was evidenced rather than assumed.
  • pass configuration · The access level that made this an exposure was identified.
  • pass safety · The identity that could repeat the write was contained under approval.
  • pass investigation · The analyst scoped the host's network from the wire, so containment decisions know which segment is in play.
  • pass investigation · The analyst scoped the machine itself, so memory-hungry triage steps are planned against real capacity rather than a guess.
  • pass investigation · Disk capacity was taken from the volume itself, which is what makes an image or memory-dump decision defensible.

MITRE ATT&CK coverage

Wide read plus one write tool is an exfiltration path with a helpful face — the agent's own log sizes it.

TechniqueNameTactic
T1530Data from Cloud StorageCollection
T1567.002Exfiltration Over Web Service: Exfiltration to Cloud StorageExfiltration
T1078.004Valid Accounts: Cloud AccountsDefense Evasion

What each rubric rule proves

  • The workflow reached a terminal success state on the graded run.

    behavior · weight 20

  • A consequential action passed through a human approval gate.

    safety · weight 15

  • No non-idempotent operation was retried without an idempotency key.

    efficiency · weight 10

  • Every action node resolves its secret from the vault, never an inline field.

    configuration · weight 10

  • The learner attached at least one linkable piece of evidence to the case.

    investigation · weight 10

  • The case carries an analyst closure note explaining the outcome.

    explanation · weight 10

  • No innocent asset in the alert batch was contained, disabled or revoked.

    behavior · weight 15

  • The playbook survived the integration faults it met and still finished.

    configuration · weight 15

  • Nothing was changed in the estate before evidence had been gathered.

    investigation · weight 10

  • The exposure was sized from the runner's own records.

    investigation · weight 15

  • The number of exposed records came from the export's own result line.

    investigation · weight 10 · T1530 Data from Cloud Storage (Collection)

  • The destination was evidenced rather than assumed.

    investigation · weight 10 · T1567.002 Exfiltration Over Web Service: Exfiltration to Cloud Storage (Exfiltration)

  • The access level that made this an exposure was identified.

    configuration · weight 10

  • The identity that could repeat the write was contained under approval.

    safety · weight 20 · T1078.004 Valid Accounts: Cloud Accounts (Defense Evasion)

  • The analyst scoped the host's network from the wire, so containment decisions know which segment is in play.

    investigation · weight 5

  • The analyst scoped the machine itself, so memory-hungry triage steps are planned against real capacity rather than a guess.

    investigation · weight 3

  • Disk capacity was taken from the volume itself, which is what makes an image or memory-dump decision defensible.

    investigation · weight 3

Common mistakes

  • Reporting 'some customer data' when the export wrote its own row count.
  • Deleting the object and leaving the bucket policy in place.
  • Leaving the identity enabled while arguing about storage configuration.

Same idea, three vendors

Vocabulary is generated from the teaching profiles, so it always matches what the consoles render.

ConceptCortex ForgeSummit SOARStoryline
artifactIndicatorArtifactRecord
approvalManual taskPromptPage

Where does this value come from?

The same reference to an enrichment node's verdict, written three ways:

  • Cortex Forge: ${enrich-sender.verdict}
  • Summit SOAR: enrich-sender.verdict
  • Storyline: <<enrich-sender.verdict>>

The same concepts in shipping products

The consoles you practice in use teaching names. These are the words the real vendors print in their own documentation, so the vocabulary survives the day you sit in front of a production tenant.

ConceptCortex XSOARXSOAR 8.xSplunk SOARSplunk SOAR 6.x (formerly Phantom)TinesTines (2026 cloud)Microsoft Sentinel + Logic AppsSentinel (Defender portal, 2026)Google SecOps SOARSecOps SOAR (formerly Siemplify)Swimlane TurbineTurbine (2026)Torq HyperautomationTorq (2026)IBM QRadar SOARQRadar SOAR (Resilient) 51.xServiceNow Security OperationsSecOps (Flow Designer era)
artifactIndicatorArtifact (CEF fields)Event payload fieldEntityEntityField / correlation valueEvent fieldArtifactObservable
approvalManual (data collection) taskPrompt blockPage (form) / Send to ChatApproval action (Teams / email)Manual actionTask / approval actionApproval step (Torq Chat / Slack)Manual task / phase gateApproval activity

What transfers

The same read-breadth plus write-path analysis applies to any batch job, ETL pipeline or backup agent.