Subject chapter quiz
Subject chapter quiz
No grades. The point is to push your thinking.
An alert names one user. How many subjects should the analyst usually profile?
Modern identity is plural. Behind any named user are typically several non-human identities (service accounts, cloud roles, federated SSO) that share trust paths. The Subject phase profiles all of them, not just the one the alert named.
A user's action maps cleanly to their assigned role, so the authorization dimension looks fine at a glance. Why does it still reward a second look?
Need a nudge?
The mapping can be clean while the role is wrong.
'The action maps to the role' answers the shallow question. The deeper ones are whether the role is right for this person now, whether it changed recently, and whether individually reasonable permissions combine into an unsafe pairing. Those gaps sit exactly where the first glance says everything is fine.
A service account suddenly logs in interactively at 02:30. Which entity type pattern does this match?
Service accounts have predictable, non-interactive behavior by design, which makes an interactive login a high-confidence Subject signal: the credential is being used outside its designed lane. It is a signal, not proof. Break-glass procedures and an admin troubleshooting with the service credential produce the same event, so the next check is who initiated the session and whether a sanctioned reason (a change ticket, a break-glass record) exists.
An egress alert flags a workstation making sustained connections to an external host on port 443. What is the entity-type question to ask about this network identifier?
Need a nudge?
Attackers choose common ports on purpose.
Port 443 is the most common port on the internet, so rarity carries no signal at all. The signal is protocol/port mismatch: traffic on 443 that is not actually TLS, or DNS on an arbitrary high port, is the classic bypass pattern, because attackers pick common ports precisely to blend in. Reputation helps but does not clear anything; a clean destination means only that it has not been caught yet.
What is the difference between insider risk and insider threat?
The distinction is about intent. Most insider risk is unintentional (mistakes, workarounds, policy violations). Insider threat is intentional, and the methodology reserves that designation for cases where evidence supports it. Two calibrations: the label is a revisable hypothesis, not a verdict (and NIST's insider-threat definition includes unwitting actors, so check your organization's vocabulary), and the label shapes who gets engaged, never whether confirmed harmful activity gets a response. Containment and escalation trigger on act, asset, and impact; intent is resolved in parallel.
An engineer's activity is consistent with their own 90-day baseline but looks nothing like anyone else's in the same role. What does the behavioral framework say?
Need a nudge?
Two baselines, one entity, and they disagree. That fact is data.
Per-entity baselining is the framework's headline question, and here it passes. But the framework also runs the peer-group comparison, and when the two disagree, the disagreement is informative: it can mean a legitimately unusual job, or a baseline that was poisoned by long-running compromise before the window began. Neither baseline overrides the other; the gap between them is what deserves the look.
An insider bulk-exports a customer database, then clears their shell history and deletes the staged archive. Under the Insider Threat Matrix, where does the history-clearing evidence belong?
The matrix organizes insider tradecraft into sections: motive (why), means (what made it possible), preparation (setting it up), infringement (the harmful act, here the bulk export), and anti-forensics (concealing or destroying evidence afterward). History-clearing and deleting staged archives are textbook anti-forensics, and their presence upgrades the case: deliberate evidence destruction is among the strongest intent signals available. It still gets verified rather than assumed — scheduled cleanup jobs, retention scripts, and shell configurations that trim history all exist, so the analyst confirms the mechanism was manual before treating the cleanup as a confession.
A marketing team under deadline converted confidential documents into image files to get them past a slow approval tool and shared them externally, exposing customer data. What does Subject classify this as?
Need a nudge?
The vocabulary matters. Risk and threat are not interchangeable.
Insider risk is the right label: the workaround was about getting work done past a slow tool, not about stealing data. But the label only decides the long-term fix, not the immediate response. Customer data left the boundary through a deliberate control bypass, so the exposure is scoped and contained, the regulatory notification question is asked (a notification clock does not care about motive), and the DLP bypass is recorded as a confirmed policy violation. What the risk classification changes is what happens after: process improvement, a faster approved sharing path, instead of an enforcement action that would add friction without fixing the cause. (The scenario is an illustrative composite, not a published incident.)
A binary on a developer's laptop disables its sandbox at runtime, makes encrypted outbound network calls, and matches signatures used by the Empire toolkit. Subject's most likely conclusion is...
A signature match alone is not Subject's verdict. The four dimensions plus access scope plus operational risk produce the picture. A signed, vendor-installed, peer-baselined binary running in a documented configuration on a developer workstation reads very differently from the same activity from an unsigned binary in a user-writable directory. Subject's job is to record that distinction defensibly, not to react to the signature alone.
Subject hands its entity map to Scope. Which entities belong on it?
Need a nudge?
Think about what Scope would have to redo if the map only listed the suspicious entities.
The map carries three rings: primary entities directly named or implicated, secondary entities connected through trust paths (service accounts, federated identities, peers on the same host), and downstream entities the implicated identities can reach, each with its authentication, authorization, behavior, and relationships assessment. Confidence labels ride alongside in the baselines-and-deviations artifact, using the shared rubric. And ruled-out entities stay on the map, because examined-and-cleared is a finding: dropping them invites the next phase to spend depth re-answering a question Subject already closed.
Next up
Transition to Scope
Subject produced the entity map. Scope turns that map into a formal boundary for the investigation.
Continue to transition