In this section
M365 Incident Response Foundations Summary: Shared Responsibility, Threat Landscape, Frameworks, and Regulatory Context
What you learned in this module
This module established the foundations every subsequent module depends on. Five sections covered why M365 IR is different, what you're defending against, how the frameworks apply, what the regulations require, and what the evidence looks like when you query it.
Shared responsibility. Microsoft secures the infrastructure. You secure everything inside your tenant: the identities, the configurations, the detections, the evidence retention, and the incident response. The shared responsibility model isn't a data protection concept — it's an IR design constraint. Every decision about logging, containment tooling, and detection capability is yours to make before the incident happens.
Identity as the attack surface. Attackers don't breach firewalls to reach M365. They steal credentials and session tokens. AiTM phishing, token theft, device code phishing, and OAuth abuse all target the identity layer. The investigation starts with SigninLogs, not with a disk image. The containment targets the identity, not the device. The scope follows identity relationships, not network paths.
The threat landscape. AiTM phishing increased 146% year-over-year. BEC caused $3.04 billion in losses from 24,768 complaints. Token theft accounted for 31% of M365 breaches. Commodified phishing kits cost $120-350/month. The infostealer economy connects credential theft to BEC and ransomware through a supply chain of specialized actors. These are the threats this course prepares you to respond to.
IR frameworks. NIST SP 800-61 Rev 3 and SANS PICERL both apply, but every phase looks different in M365. Preparation means configuring log retention and pre-building emergency CA policies. Detection means reading sign-in logs, not endpoint alerts. Containment means revoking sessions, removing OAuth consents, and deleting inbox rules across multiple channels simultaneously. Post-incident improvement means deploying detection rules and hardening CA policies based on what the incident revealed.
Regulatory context. GDPR Article 33 gives you 72 hours from awareness. NIS2 gives you 24 hours for the early warning. SEC gives you 4 business days from materiality determination. HIPAA gives you 60 days but with compressed operational windows. The clocks start before you're ready. The investigation must produce the data these notifications require while the response is still in progress.
First investigation queries. You ran KQL queries against SigninLogs to find anomalous sign-ins. You examined the 12 fields in a sign-in record that matter for investigation. You collected evidence through the Graph API and exported it for preservation. You searched the Unified Audit Log and identified what an attacker's activity pattern looks like. These are the building blocks. The rest of the course assembles them.
Scenario 1. Your organization runs M365 E3. During an incident investigation, you need to determine which specific emails the attacker read from the compromised mailbox. You search for MailItemsAccessed events in the Unified Audit Log and find nothing. What's the most likely explanation?
The attacker deleted the MailItemsAccessed logs to cover their tracks.
Incorrect.The events aged out because the retention period expired before the investigation started.
Possible but not the most likely explanation for E3.MailItemsAccessed requires E5 or the Audit Premium add-on. On E3, these events are not generated, regardless of retention settings. This evidence source simply doesn't exist for your tenant.
Correct.MailItemsAccessed only captures Outlook Web Access. The attacker used a Graph API application to read email, which appears in a different log.
Incorrect.Scenario 2. A sign-in record for a compromised account shows: ResultType: 0 (success), MFA: satisfied, ConditionalAccessStatus: success, RiskLevelDuringSignIn: none. Based on this record alone, can you determine whether this sign-in is legitimate or an AiTM token replay?
Yes — MFA satisfied and risk level "none" confirm this is a legitimate sign-in.
Incorrect.No — an AiTM token replay produces an identical record: MFA satisfied, CA passed, risk none. The only indicators are the IP address and location compared to the user's normal pattern, and whether the AuthenticationDetails show "Previously satisfied" for the MFA claim.
Correct.No — you need to check whether the user actually completed MFA at that time by reviewing the MFA service logs separately.
Partially correct but not the primary method.Yes — if Conditional Access passed, the sign-in met all policy requirements. An attacker's token wouldn't pass CA evaluation.
Incorrect.Scenario 3. Your IR team resets a compromised user's password, revokes all sessions, and removes the inbox rules the attacker created. 72 hours later, MailItemsAccessed shows the attacker is reading the user's email again. How is this possible?
The password reset didn't propagate properly. Re-run the reset.
Incorrect.The attacker phished the user again and obtained new credentials.
Possible but unlikely to be the primary explanation.The session revocation has a propagation delay of up to 72 hours for cached tokens.
Incorrect.The attacker consented to an OAuth application with Mail.Read permissions during the initial compromise. The application authenticates with its own credentials (a client secret), not the user's password or session. Password resets and session revocations don't affect OAuth application access.
Correct.Scenario 4. Your SOC confirms at 14:00 UTC that a compromised account accessed emails containing salary data for 200 employees in the UK. Your CISO asks: "When does the GDPR notification clock start?" What's your answer?
The clock started at 14:00 UTC when you confirmed the compromised account accessed personal data. The 72-hour deadline for GDPR Article 33 notification is now running. File the initial notification by 14:00 UTC Saturday at the latest.
Correct.The clock hasn't started yet. GDPR awareness requires a completed investigation that determines the full scope of affected individuals. We know 200 employees so far, but the number may change.
Incorrect.The clock started when the SOC first detected the compromised account, even before confirming personal data access.
Arguably earlier, but the confirmed access is the clearer trigger.GDPR doesn't apply because the salary data belongs to employees, not customers. Employee data is covered by employment law, not data protection law.
Incorrect.Scenario 5. You're reviewing a colleague's IR investigation. They queried SigninLogs for the compromised user and found sign-ins from a suspicious IP address. They then immediately reset the user's password and revoked all sessions. What's wrong with this sequence?
Nothing — fast containment is always the right priority. The faster you revoke access, the less damage the attacker can do.
Incorrect.They should have notified legal counsel before taking any containment action.
Legal notification should happen early but shouldn't delay containment.They skipped evidence preservation. Before resetting the password and revoking sessions, they should have exported the sign-in logs, placed litigation holds on the mailbox, and preserved the current state of inbox rules and OAuth consents. Containment actions modify the environment, and some evidence may be lost if not preserved first.
Correct.They should have investigated the full scope of the compromise before taking any containment action.
Incorrect.Scenario 6. Your organization has Defender XDR licensed with all components enabled. The CISO states that the organization's detection capability is "fully operational." What question would you ask to verify this claim?
"Are all Defender XDR licenses assigned to users?" — Licensing gaps mean some users aren't covered.
Valid but not the most revealing question."When was the last time a SOC analyst reviewed and acted on a Defender XDR alert?" — Detection tooling that nobody monitors is a logging system, not a detection capability. Licensed and enabled is not the same as operational.
Correct."Which MITRE ATT&CK techniques are covered by your analytics rules?" — Coverage gaps mean some attacks won't be detected.
Good question, but assumes the basics are operational."What's your Microsoft Secure Score?" — Secure Score measures the security posture including detection configuration.
Incorrect.Scenario 7. You run the KQL query from IR1.5 against your tenant's SigninLogs for the past 24 hours. The results show 15 successful sign-ins from a single IP address across 12 different user accounts. The IP belongs to a residential ISP in a city where your organization has an office. Is this suspicious?
Yes — 12 accounts from the same IP is a clear indicator of password spray or credential stuffing.
Possibly, but not enough context to conclude.No — the sign-ins were successful, which means MFA was satisfied. Credential spray attacks produce failed sign-ins.
Incorrect.Yes — immediately deploy the emergency CA policy to block all sign-ins from this IP.
Premature without investigation.It warrants investigation but isn't conclusive either way. Check whether the 12 accounts are employees in the office city (legitimate shared network) or scattered across departments with no reason to share an IP. Check the sign-in times — did all 15 sign-ins happen within minutes (more suspicious) or spread across the day (more likely legitimate)?
Correct.Scenario 8. A publicly listed UK company with US operations discovers that an AiTM phishing attack compromised an executive's M365 account. The attacker accessed email containing employee salary data (UK staff), customer contract terms (US clients), and board meeting minutes discussing a pending acquisition. Which regulatory frameworks apply?
GDPR (UK employee personal data), potentially SEC (material incident at a public company — the pending acquisition information may affect materiality assessment), and potentially state-level US breach notification laws (US customer data). Multiple frameworks apply simultaneously with different deadlines and different notification content.
Correct.Only GDPR — the company is UK-based so UK data protection law applies. SEC and US state laws only apply to US-headquartered companies.
Incorrect.Only SEC — the pending acquisition information makes this a material event. GDPR doesn't apply to executive email access.
Incorrect.No regulatory notification is required. The attacker accessed email but didn't exfiltrate data — reading email is not a breach.
Incorrect.How was this module?
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You've finished the free tier. The investigation starts now.
IR0 established the incident shape — how Microsoft-stack attacks cross the cloud-endpoint boundary in minutes — and gave you the five-step reasoning chain and three-statement evidence discipline that every subsequent module applies. IR0 also covered the current NIST SP 800-61 Rev 3 / CSF 2.0 vocabulary for the reports you will write. IR1 got your forensic workstation built: KAPE, the Eric Zimmerman Tools suite, Velociraptor, Volatility 3, and the Microsoft 365 investigation stack installed, validated, and ready. From here, every module applies the reasoning chain against real evidence.
- Phase 2 — Windows Endpoint Forensics (IR2–IR7) — evidence acquisition and chain of custody, execution and persistence artefacts, filesystem and registry forensics, event log analysis, memory forensics with Volatility 3, lateral movement and credential theft
- Phase 3 — Microsoft 365 Cloud Investigation (IR8–IR12) — identity compromise, Exchange Online and email forensics, SharePoint/OneDrive/Teams investigation, Entra ID persistence, Defender XDR as the unified investigation platform
- Phase 4 — Investigation Scenarios (IR13–IR16) — ransomware, business email compromise, insider threat, and advanced persistent threat. Each a complete worked investigation integrating Phase 2 and Phase 3 skills
- Phase 5 — Reporting, Readiness, and Capstone (IR17–IR19) — technical and executive reporting, regulatory notifications under current law (GDPR, NIS2, SEC), IR readiness building, and the IR19 end-to-end capstone investigation
- Worked practical content throughout — every content subsection contains annotated KQL queries, walked-through tool output, real artefact data with interpretation, and procedures you run yourself