On this page
- Why tier 1 needs playbooks
- One playbook per alert type
- List the checks and the data sources
- Define the evidence for each disposition
- Standardize the escalation ticket
- Pre-approved containment
- Feed false positives back into tuning
- Measure playbook quality, not just speed
- A simple playbook template
- Building enrichment into the playbook
- Playbooks and shift hand-over
- Using playbooks to onboard analysts
- Playbooks for multi-client benches
- A worked example: user-reported phishing
- Keeping playbooks current
- ✓Write one playbook per alert type, mapped to the MITRE ATT&CK technique it covers.
- ✓List the exact checks, data sources and evidence needed to close or escalate.
- ✓Define the escalation ticket fields so tier 2 can start immediately.
- ✓Review playbooks when the stack, the threats or the false-positive patterns change.
The short answer: A SOC alert triage playbook defines, for one alert type, the data sources to query, the checks to run, the evidence to attach, the criteria for closing as a false positive or escalating, any pre-approved containment actions and the fields required in the escalation ticket, mapped to the relevant MITRE ATT&CK technique. Security teams and MSSPs often run tier 1 against these playbooks through SOC tier 1 alert triage programs.
Why tier 1 needs playbooks
Most alerts are noise, but every one has to be checked properly, because the real intrusion arrives looking like the rest. Without playbooks, triage depends on the analyst: one closes an impossible-travel alert after a glance, another spends an hour on it. Neither result is defensible.
Playbooks make tier 1 consistent across analysts and shifts, make closures auditable and let new analysts become productive faster.
One playbook per alert type
Write a playbook for each alert type the queue actually receives: suspicious sign-ins, impossible travel, MFA fatigue, malware detections, suspicious PowerShell, data exfiltration indicators, phishing reports and so on. Start with the highest-volume types and the highest-risk ones.
Map each playbook to the MITRE ATT&CK technique it covers. The map shows where detection and triage coverage is thin.
List the checks and the data sources
For each alert type, list the exact checks in order: which log query to run in Sentinel or Splunk, which endpoint data to pull from CrowdStrike or Defender, which identity checks to make, which threat-intelligence lookups to run. Include the queries themselves where possible.
Checks should be specific enough that two analysts working the same alert reach the same answer.
Define the evidence for each disposition
A playbook should state what evidence closes the alert as a false positive and what evidence escalates it. For example, an impossible-travel alert might close when the sign-ins come from a known VPN egress and the user confirms the activity, and escalate when the second location is unfamiliar and followed by mailbox rule changes.
Every closure should attach the evidence, so a later reviewer can see why it was closed.
Standardize the escalation ticket
Escalations should carry the same fields every time: affected asset and user, timeline, related alerts, the ATT&CK technique, initial scope, actions already taken and a recommended next step. Tier 2 should be able to start investigating without repeating triage.
Track escalation accuracy, the share of escalations tier 2 confirms, by analyst and alert type.
Pre-approved containment
Some playbooks should include actions tier 1 may take without waiting: isolating an endpoint, disabling an account after a confirmed credential compromise, blocking an indicator or quarantining an email. State the exact conditions, the action and how to log it.
Anything outside those conditions is escalated with a recommendation. See help desk for how account actions are controlled on the IT side.
Feed false positives back into tuning
Playbooks reveal which detections produce noise. Track false-positive causes by rule and send regular recommendations to detection engineers: thresholds to adjust, exclusions to add, rules to rewrite. Engineers decide and make the changes.
Over time, tuning reduces volume and lets tier 1 spend more time on the alerts that matter.
Measure playbook quality, not just speed
Sample closed alerts every week and have tier 2 re-review them against the playbook. Report the false-negative rate alongside mean time to acknowledge and triage. Speed targets that reward closing quickly without evidence produce missed incidents.
Where re-review finds disagreement, update the playbook or retrain the analyst.
A simple playbook template
A consistent template makes playbooks easier to write and use. A practical one includes the alert name and source, the ATT&CK technique, a short description of what the alert means, the data sources, the ordered checks with queries, the close criteria, the escalate criteria, any pre-approved containment, the ticket fields and the owner and version.
Keep each playbook short enough to use during triage. Background reading can live in a linked document.
Building enrichment into the playbook
Enrichment turns a raw alert into something tier 2 can act on: who the user is and what they normally do, what the asset is and how critical it is, what else happened around the same time and whether any indicators have been seen before. Playbooks should say which enrichment to add for each alert type.
Where SOAR tools such as Cortex XSOAR automate parts of enrichment, the playbook should say what the analyst still needs to check by hand.
Playbooks and shift hand-over
Round-the-clock benches change shifts several times a day, and open investigations are easy to lose at hand-over. A short hand-over procedure, recorded in the ticketing system, should list open alerts, their current playbook step and any containment taken.
Queue depth at hand-over is a useful metric: a growing number of open alerts at shift change shows the bench is falling behind.
Using playbooks to onboard analysts
Playbooks double as training material. New analysts can shadow experienced ones on each alert type, then work alerts under review until their dispositions consistently match the playbook. Tracking accuracy by analyst and alert type shows when each person is ready to work a type alone.
For outsourced or follow-the-sun benches, shared playbooks are what keep every shift working the same way.
Playbooks for multi-client benches
MSSPs running one bench for many clients need a common playbook library with client-specific variations: different tools, different containment authority and different escalation contacts. Keep the variations explicit in each client’s profile rather than in analysts’ memory.
Review client variations at onboarding and whenever a client’s stack or contacts change.
A worked example: user-reported phishing
User-reported phishing is one of the highest-volume alert types and a good first playbook. The checks usually run: retrieve the message and headers, check the sender, links and attachments against threat intelligence and sandbox results, search for the same message in other mailboxes, and check whether anyone clicked or replied.
Close criteria might be a known marketing sender with clean links; escalate criteria might be a credential-harvesting link that a user clicked. Pre-approved actions often include quarantining the message across mailboxes and blocking the sender, with every action logged.
Keeping playbooks current
Assign an owner, version every playbook and review it when the stack changes, when a new threat pattern appears or when false-positive patterns shift. Retire playbooks for detections that no longer exist.
Our SOC tier 1 alert triage outsourcing page explains how vetted Philippine benches work SIEM and EDR alerts to playbooks for US MSSPs and enterprises, and our guide to help desk identity verification covers a related control.
Frequently asked questions
What is a SOC triage playbook?
A documented procedure for one alert type: checks, data sources, evidence, close and escalate criteria and ticket fields.
Should playbooks map to MITRE ATT&CK?
Yes. Mapping shows where triage coverage is thin.
Can tier 1 take containment actions?
Only those pre-approved in the playbook, under stated conditions, logged in your system.
How do you know playbooks work?
By re-reviewing a sample of closed alerts and reporting the false-negative rate.
