SOAR for Response: Which Playbooks to Automate First

What SOAR actually speeds up in incident response

SOAR doesn't speed up an investigation end-to-end, but it accelerates the repetitive steps around it. It helps quickly turn a signal from email, EDR or SIEM into a clear task and perform routine actions that are normally done manually.

In many SOCs the biggest time sinks are not hard technical decisions but waiting and context-switching: finding an account owner, requesting logs, opening several consoles, rechecking hashes, creating a ticket, or getting approval for isolation. At each step mistakes happen easily: notify the wrong person, forget to attach an artifact, or miss an important field in a report.

SOAR typically saves minutes or hours on common operations:

• data collection and enrichment (email headers, IPs, domains, file hashes, login history);
• automatic sorting (incident category, priority);
• orchestration of tasks (ticket creation, notifications, approval requests);
• fast containment actions (temporary account block, host quarantine, session revocation).

The best candidates for early automation are frequent incidents with a clear script and yes/no branches. In organizations with many endpoints the chain “suspicious email — click — anomalous sign-in” repeats often and requires almost identical checks each time.

Not everything should be automated at once. Sometimes it’s faster and safer to tidy up the process and lock down a checklist first:

• rare incidents without a stable pattern (unique attacks, complex chains);
• actions with high risk of downtime without approval (isolation of critical servers);
• steps that require user interaction and contextual conversation;
• processes lacking access or integrations, where automation will hit missing permissions.

A practical rule: automate what repeats, noticeably speeds response, and can be safely rolled back.

How to pick the first playbooks without long waits

To get real value from SOAR, start with the most frequent cases, not the "smartest" scenarios. A fancy playbook for an incident that happens once a quarter looks good in a demo but will not change day-to-day operations early on.

A good first playbook passes a quick test: steps are clear, data is available, and the result is easy to verify. The fastest ROI comes from scenarios full of manual routine: open an email, extract IOCs, check the user in AD, request logs, create a ticket, notify the system owner.

Use five simple criteria to pick 2–3 first candidates:

• frequency: how often the analyst performs this per week;
• risk: what happens if you're wrong or 30 minutes late;
• repeatability: are the steps the same each time;
• routine share: how many clicks and copy-pastes can you remove;
• data readiness: do you have access to systems and proper fields in events.

Estimate time savings by steps. Break the process into 6–10 actions and note how many minutes each takes manually and how many will remain after automation. SOAR often doesn’t do everything for a person but removes waiting and context-switching between tools, which adds up to tens of minutes.

Define responsibility boundaries up front. For example: artifact collection and initial checks are automatic, while account blocking or host isolation require an analyst confirmation (or only occur automatically for pre-approved assets).

Check integrations and permissions before rollout: mail (Exchange/Office 365), EDR, AD/LDAP, ticket system and notification channels. In distributed infrastructures it’s crucial to agree on rights and responsibility: who approves SOAR actions and who is accountable if automation stops a critical service.

Playbook 1: phishing and malicious emails

Phishing usually gives quick automation wins: incidents are frequent, data is standard, and speed actually reduces harm. For SOAR, phishing is one of the best first playbooks: it cuts routine work and lowers the chance that others will open the message.

Trigger a playbook from multiple signals to avoid reliance on one source: user report (Report Phishing button or Service Desk ticket), mail gateway alert, EDR detecting a malicious attachment, or SIEM correlation (similar mails to many recipients, spike in clicks on a URL).

The playbook’s job is to gather facts fast without causing erroneous mass blocks. A typical automated run looks like:

• extract URL(s), domains, attachment hashes, sender address, subject and Message-ID from the email;
• check URL and file reputation and compare against internal IOCs;
• submit attachments or links to a sandbox (if policy allows) and store the verdict;
• find similar emails by sender, subject, hash or URL;
• prepare actions: block sender, remove messages from inboxes, add IOCs to defenses.

Keep manual decisions where a mistake would be costly: removing messages from executives and critical teams (to avoid deleting legitimate correspondence), and mass-blocking domains or URLs that may affect business processes. In those cases, the playbook can make an auto-suggestion and request analyst confirmation.

Close phishing incidents with clear results, not just a note like “checked.” For example: message removed from all found recipients, sender and IOCs added to protective layers, list of impacted users confirmed, and initial click/run checks attached to the incident.

Playbook 2: suspected account compromise

Account compromise often causes more damage than a single infected PC: attackers act “as the employee,” accessing mail, documents and internal systems. This playbook often shows the largest SOAR impact.

Typical triggers: suspicious sign-in from an unusual country or ASN, “impossible travel” (logins from distant locations in a short time), multiple failed attempts, logins outside working hours, indicators of leaked credentials, or sudden behavior changes.

What the playbook checks before any blocking

Automation aims to gather context in 1–3 minutes and make a safe decision, not to cut access indiscriminately.

A sensible sequence is:

• collect user profile: role, department, criticality, and access type (admin or regular);
• check recent sign-ins and active sessions: from where, on which devices, and to which apps;
• compare devices and novelty signals: new browser or agent, new IP, SIM change, suspicious forwarding rules;
• find recent changes: password resets, MFA changes, group additions, forwarding rules added;
• assign a risk score and choose a branch: “action required,” “need clarification,” or “false positive.”

Actions and notifications without unnecessary downtime

If risk is high, the playbook runs controlled actions: temporary account block, password reset, forced session logout, enable/strengthen MFA, and create a task for endpoint review (if sign-in came from a specific device).

Notifications go to the account owner (plain instructions), security and IT teams, and when needed the department manager. To avoid stopping productivity, include a “soft” branch: temporary restricted access (for example, corporate network only and access to required apps). For critical roles, predefine exceptions and conditions rather than deciding them during an incident.

The main quality measure for this playbook is how fast you move from signal to a confident fork (confirmed compromise or cleared alert) without mass blocks and communication chaos.

Playbook 3: host isolation and initial data collection

Host isolation is one of the most powerful SOAR response steps, but also one of the riskiest for business. Include it in automation when delay is more dangerous than user downtime: signs of ransomware, C2 communication, a spike of suspicious processes, or mass attempts to access network resources.

To avoid acting impulsively, the playbook usually performs a short signal check and gathers minimal artifacts before cutting network access. That matters because some data becomes unavailable after isolation and the user may reboot the machine.

A minimal safe playbook scenario

A reliable practical sequence is five actions:

• confirm the signal: match host, user, time, alert source and recurrence;
• collect basic artifacts: process list, active network connections, recent process launches, key login events;
• record what’s suspicious: file paths, hashes, parent process name, command line;
• perform isolation via EDR (or alternative: disable network profile, block ports, prevent lateral spread);
• open an incident and notify responsible parties: SOC, IT, and service owner (so downtime is managed).

Simultaneously the playbook can save process and connection snapshots, export hashes of suspicious files and mark related devices that communicated with the host before isolation. This jumpstarts the investigation without manual hopping between tools.

How to return a host to service

De-isolation should be based on criteria, not a user request: confirmed removal or blocking of the malicious artifact, root cause fixed (e.g., password changed and sessions revoked), no repeat detections for a set period, and approval from IT and the service owner.

Example: an accountant’s workstation shows a suspicious process and outbound connections. The playbook captures a process snapshot and connections, isolates the host, and creates an IT ticket to provide a temporary replacement workstation. Security wins time, and the business knows what to expect and when.

How to build a playbook: step-by-step implementation

For SOAR to speed up the SOC, a playbook must be equally clear to humans and machines. A common problem is that a playbook describes “what we would like” but doesn’t specify required inputs, decisions and expected outputs, making automation and control hard.

Start with a single template. Include: where the incident comes from (SIEM, mail, EDR), required fields (user, host, hash, ticket), what steps run, where decisions are made (conditions), and how the scenario ends (closed, escalated, awaiting confirmation).

Break the playbook into reusable modules:

• enrichment: domain/hash reputation, context from AD/CMDB, alert history;
• decision: rules, thresholds, exceptions, if/then risk logic;
• actions: block, password reset, host isolation, quarantine email;
• notifications: who to notify, what to send, and how to record it in the ticket.

Add control points so automation does not harm the business. For example, server isolation only after on-call approval and criticality check, and password reset for VIP accounts only after owner confirmation.

Differences between Cortex XSOAR, Splunk SOAR and IBM Resilient are most often in integrations, task forms and artifact storage. The playbook logic should be platform-agnostic: same inputs, conditions and outputs. Describe the playbook independent of platform first, then implement it in the chosen tool.

Roll out in stages: pilot a single incident type and a limited scope, then expand to more sources and departments. If your organization needs complex integrations, approval controls and 24/7 reliability, a system integrator often ensures playbooks run stably day and night.

How to measure response time reduction

Agree in advance what you mean by “response time.” People often mix detection, acknowledgement and actual remediation. Without separating stages, metrics look impressive but aren’t useful for the SOC or management.

MTTD (Mean Time To Detect) — average time from event start to detection.

MTTA (Mean Time To Acknowledge) — time from detection to when the incident is accepted for work (assigned or confirmed).

MTTR (Mean Time To Respond/Resolve) — time from detection (or from acknowledgement) to result: mitigation, blocking, isolation, or case closure.

Pick a single start point and record it consistently.

To compute metrics you need clear timestamps in one place (SIEM, SOAR or ticketing). Minimal markers:

• detect (alert created);
• case/incident created in SOAR;
• assignment to an analyst (or auto-assignment);
• first action (artifact request, block, isolation);
• closure/resolution.

Collect a baseline for 2–4 weeks using the same sources and rules. That shows real effect rather than seasonal load changes.

Compare like with like: identical incident types and severity. For example, separate “phishing with attachment” from “phishing with a link,” and “admin account compromise” from regular user compromise. Automating easy cases can otherwise artificially lower MTTR.

Speed must not reduce quality. Add control metrics:

• rate of false blocks (mail, accounts, hosts);
• percentage of reopened cases;
• share of incidents requiring manual rollback;
• SLA compliance for critical incidents.

This shows not only speed but whether playbooks truly help without creating new risks.

Reports and KPIs that make sense for SOC and the business

To avoid SOAR looking like "automation for the sake of automation," agree which figures are for SOC and which are for management. A good report answers two questions: what got faster and how reliably it works every day.

KPIs by playbook stage

Measure not only overall MTTA/MTTR but time per step. That reveals where minutes are lost: context search, approval, or manual checks.

Track four time blocks:

• enrichment: context collection (user, host, attachments, reputation, recent sign-ins);
• decision: time to review and choose action (close as false positive, escalate, block);
• action: duration of the action itself (isolation, password reset, domain block, ticket creation);
• communications: notifications, approval requests, reporting to the initiator.

Add reliability indicators or speed gains may reflect a lucky run. Track successful launches, rollback rates (e.g., isolation reversed), and manual interventions (playbook started but analyst finished many steps).

Set SLAs and targets per incident type. For phishing, primary verdict and propagation block speed matter. For accounts, time to force password change and revoke sessions matters. For hosts, time to isolation and initial artifact collection matters.

Executive report

Management usually needs 3–5 high-level numbers: median MTTA, median MTTR, 90th-percentile MTTR (to show heavy cases), percentage of successful runs and share of incidents closed without escalation.

Show before/after for medians and 90th percentiles, not only averages. In real organizations a few complex cases skew the mean and hide day-to-day improvements.

Common mistakes when automating SOAR

Failures typically stem not from the platform (Cortex XSOAR, Splunk SOAR or IBM Resilient) but from poorly described processes. If the approach is “add a couple of buttons and the SOC will be twice as fast,” you’ll get outages, disputed blocks and manual workarounds.

Mistakes that hurt operations most

Typical causes that make playbooks annoying and break trust:

• automation without approvals: the playbook blocks an account or isolates a host and the service owner learns about it from users;
• an overbroad playbook: trying to handle all phishing or all compromise variants with one process creates dozens of branches and exceptions;
• poor inputs: an alert lacking a clear user, host, message or incident in SIEM prevents confident enrichment;
• ignoring exceptions: service accounts, critical servers and VIP users need separate rules and “soft” actions;
• no rollback plan: a mistaken isolation or account block must be quickly reversible with a clear procedure.

A good rule: first automate safe steps (data collection, enrichment, task creation), and add risky actions (isolation, blocks) only with confidence levels and a visible manual brake.

Short checklist before launching playbooks

Before enabling first SOAR automations, verify basics. Otherwise automation may cause wrong blocks, unnecessary isolations and confusion over responsibility.

Simple rule: every playbook step needs an owner, every input field a defined source, and every risky action a clear stop‑switch.

• assign process owners and on-call roles: who confirms actions, who communicates with security/IT, who closes the case; if SOC is outsourced, define boundaries in advance;
• define triggers and required inputs: what starts a case (email, EDR alert, login anomaly) and which fields are mandatory (account, host, time, source, criticality);
• configure approvals for risky steps: account blocking, session revocation, host isolation, email quarantine;
• prepare notifications and message templates: short user text, IT message, manager note;
• agree on metrics and dashboards: MTTA and MTTR plus execution quality (share of manual interventions, rollback rate, false positive percentage).

Test the checklist on one typical scenario. For example: a user reports phishing, the playbook finds IOC matches and suggests removing messages and temporarily blocking the sender account. If you’ve decided who confirms the block and where to record the reason, the run will be calm and produce a real reduction in response time.

If you have many branches and varying IT levels, decide in advance which actions the SOC performs centrally and which go to local support. This impacts MTTR more than platform choice.

Example scenario: phishing plus attempted account takeover

A user receives an email titled “Urgent: update your password” with an attachment. Fifteen minutes later SIEM records a sign-in to that account from a new region and device. Separately each signal may look noncritical, but together they require quick action.

A playbook triggered by the email or the anomalous login links events into one incident. It enriches data: extracts headers, domain reputation and attachment hashes, checks who else received the message, and adds account details (group, criticality, recent logins, active sessions).

Actions are split into three levels:

• automatic: search for similar messages, block domain/hash at the mail gateway, collect artifacts (IP, user-agent, Message-ID), notify SOC and the service owner;
• analyst-confirmed: password reset, token/session revocation, temporary account block, forced MFA re-check;
• owner decision: notify the user’s manager or security team if the account is privileged.

Time savings show clearly: enrichment and account checks that used to take 10–20 minutes of manual queries now take 1–2 minutes of auto-collection and review. The analyst spends time confirming evidence, not hunting for it.

Close the case after recording the cause (clicked link or credential compromise), verifying no other suspicious sessions, and documenting steps. Improvements usually add new correlation signals (geography plus impossible travel), user notification templates, and rules deciding when blocking is automatic versus analyst-approved.

Next steps: how to start and who should lead implementation

The fastest way to start with SOAR is not to pick a platform by sight but to choose three initial playbooks and validate integrations, permissions and metrics. That shows where automation saves time and where it’s blocked by process issues.

Inventory 10–20 of the most frequent incidents for the last 1–3 months (from tickets, SIEM, mail or SOC records). Pick the top 3 by three criteria: they repeat weekly, require many manual steps, and are prone to human error from fatigue (e.g., phishing, account compromise, host isolation).

Decide who handles the “seams” between systems. SOAR usually stalls not on logic but on access: who issues API keys, who approves user block rights, and who accepts EDR actions.

Roles required to make playbooks run

Often four owners suffice even in small teams:

• SOC analyst (owns playbook logic and detection criteria);
• security engineer or admin (owns integrations, permissions and safe settings);
• service owner (e.g., Exchange, AD, EDR) to agree actions;
• SOC/security lead (approves risk: what runs automatically and what needs confirmation).

Run the pilot in one department or for one asset type (e.g., only office PCs or only email incidents). A typical path: automate phishing triage for corporate mail first, and require manual confirmation for host isolation until procedures are mature.

If the project needs integrations, approval controls and ongoing support, a system integrator can help implement end-to-end. For example, GSE.kz (gse.kz) besides hardware production and supply also acts as a system integrator and can help align security and IT so playbooks aren’t blocked by permissions, responsibility or night shifts.

Agree metrics and reporting in advance: which MTTA/MTTR you measure, from which start point, and how often to present results (e.g., weekly for SOC and monthly for management).