Adding more analysts to a security operations centre does not, by itself, resolve operational fatigue. As 74% of large UK businesses reported experiencing a cyber breach or attack in the previous 12 months in the UK Government’s Cyber Security Breaches Survey 2025, security teams need ways to manage demand as well as increase capacity.
False positives, disconnected tools and manual investigation workflows can leave experienced engineers spending too much time collecting basic context. The result is less time for threat hunting, detection engineering and the incidents that require specialist judgement.
A more effective approach is to automate predictable investigation and response tasks while keeping human oversight for high-impact decisions. This can help organisations improve analyst productivity, reduce response times and gain more value from their Microsoft Security investments.
This guide explains how to build an automation-led operating model for security operations. It covers the role of Microsoft Sentinel, the use of automated playbooks, practical measures of improvement and the contribution of a managed extended detection and response (MXDR) partner.
SOC efficiency is not simply a measure of how many alerts a team processes. It is the relationship between the effort invested by analysts and the quality, speed and consistency of the resulting security outcomes.
When analysts must collect context manually from several consoles, even straightforward investigations can consume significant time. This creates backlogs, delays response and reduces the capacity available for proactive work. The problem is particularly difficult for organisations that have invested in multiple security tools without establishing a connected operating model.
Improving efficiency therefore requires more than adding staff. It requires better data, clearer workflows, useful automation and a measurement framework that shows whether those changes are producing better outcomes.
Tier-one triage often involves repetitive tasks such as checking user activity, reviewing device information, validating indicators and gathering evidence from multiple systems. These tasks may be necessary, but they do not all require manual handling.
When experienced analysts spend a large proportion of their time on repeatable work, the organisation loses capacity for threat hunting, detection engineering and complex incident response. Prolonged operational pressure can also affect retention, consistency and the transfer of specialist knowledge.
Automation should not be viewed as a replacement for analysts. Its value is in reducing avoidable manual work and directing human attention towards the decisions that require context and judgement.
A security information and event management (SIEM) platform can collect and correlate large volumes of security data, but technology alone does not create an effective SOC. Poorly tuned detections, incomplete telemetry and disconnected response processes can still produce high levels of investigation effort.
A modern operating model connects detection with investigation and response. It uses centralised data where appropriate, enriches alerts with relevant context and applies automated actions to well-understood scenarios. It also gives analysts the ability to review, approve or stop actions that could affect users, systems or production services.
This approach is more sustainable than treating the SIEM as a passive log repository. It turns security data into a workflow that supports faster and more consistent decisions.
Before automating workflows, organisations should understand how the SOC operates today. This includes identifying the main sources of alert volume, the investigations that consume the most time and the actions that analysts repeat most often.
Useful baseline measures include:
Without this baseline, it is difficult to determine whether automation is improving security outcomes or simply increasing the number of actions performed by the platform.
Effective investigation depends on context. Signals from identities, endpoints, email, applications, networks and cloud workloads can provide different parts of the same incident.
Microsoft Sentinel can help organisations bring relevant data into a central analytics and orchestration platform. Microsoft Defender and Microsoft Entra ID can provide additional context across endpoint and identity activity, while integrations with other systems can extend visibility across the wider environment.
The value depends on implementation quality. Data must be relevant, correctly configured and governed. Collecting more telemetry without improving detection logic or investigation workflows can increase cost and alert volume without improving outcomes.
The best initial candidates for automation are repetitive tasks with clear inputs, predictable decision points and limited risk if performed incorrectly. Examples may include:
High-impact actions should include appropriate safeguards. For example, isolating a production system or disabling a privileged account may require analyst approval, additional validation or a defined exception process.
Microsoft Sentinel can support a more connected approach to triage by bringing security data and incidents into a central platform. When configured effectively, analytics rules, automation rules and playbooks can help analysts correlate related signals, enrich incidents and apply consistent response steps.
This can reduce the need to switch between multiple consoles and help analysts focus on the incidents that require investigation. It does not remove the need for detection engineering. Poorly tuned rules, duplicate detections and incomplete data sources can still create unnecessary work.
Organisations should therefore treat Sentinel as part of an operating model rather than a standalone answer. Its effectiveness depends on the quality of the data, the design of the detections, the governance of automated actions and the skills available to maintain the service.
Security incidents can create risk beyond the affected device or user account. An endpoint compromise may involve access to confidential information, personal data or regulated systems. Analysts need enough context to understand the potential business impact of an incident and prioritise the response appropriately.
Microsoft Purview and related data security capabilities may help organisations connect information protection and data governance with broader security processes. The exact visibility and response options will depend on the products deployed, licensing, configuration and permissions in place.
The objective is not to expose every data detail to every analyst. It is to provide relevant context that helps the SOC assess impact, support escalation and coordinate with risk, compliance and business stakeholders.
An automation programme should be introduced in stages. A practical approach includes:
A playbook for a suspected identity compromise might enrich the incident with sign-in details, device information and recent user activity. Depending on the evidence and the organisation’s policies, it could then revoke active sessions, require a password reset or temporarily restrict the account.
The playbook should not assume that every suspicious sign-in represents a confirmed compromise. It should account for travel, remote access, service accounts, known administrative activity and other legitimate explanations. Where the potential business impact is high, an analyst should review the evidence before disruptive action is taken.
This balance is central to effective security orchestration. Automation should make a good decision faster, not remove the controls that make the decision reliable.
Organisations should avoid reducing SOC performance to a single multiplier. A more useful approach combines speed, quality, effort and resilience.
Key measures may include:
These measures help security leaders demonstrate whether automation is improving operational resilience, controlling cost and giving analysts more capacity for higher-value work.
Operating a 24/7 defensive capability requires more than continuous monitoring. It also requires detection engineering, threat intelligence, incident response, platform administration, quality assurance and ongoing improvement.
Many organisations do not need or cannot justify building all of these capabilities internally. A managed extended detection and response partner can provide additional capacity while allowing internal teams to retain oversight of risk, priorities and business context.
A suitable provider should be able to explain:
The right partnership should reduce operational burden without creating a black box around security decisions.
Recruiting and retaining experienced cyber security professionals can be difficult, particularly when an organisation needs continuous coverage. An MXDR model can provide access to established processes, specialist skills and additional monitoring capacity without requiring the organisation to staff every function internally.
This does not remove the need for internal ownership. Organisations still need clear accountability, defined risk tolerances and stakeholders who understand the business context. The benefit is that internal teams can spend more time on architecture, governance, transformation and high-priority risk reduction rather than routine alert handling.
Automation is well suited to repeatable tasks, but it cannot address every form of adversary behaviour. Attackers may use legitimate tools, compromised credentials or activity that resembles normal administration. Threat hunting and detection engineering remain important for identifying gaps and testing whether controls are working as intended.
A mature operating model combines automated response with regular review. Analysts and detection engineers should examine incidents, investigate emerging attack techniques, identify blind spots and refine the logic that determines when an automated action is appropriate.
This creates a feedback loop in which incidents improve detections, detections improve automation and automation gives analysts more time to investigate complex threats.
Improving SOC efficiency is not a matter of deploying one platform or enabling every available automation feature. It requires a clear baseline, reliable telemetry, well-designed detections and carefully governed response workflows.
Organisations should begin by identifying the investigations that consume the most analyst time. They can then select a small number of low-risk use cases, test the associated playbooks and measure the results against the existing operating model.
CyberOne helps organisations assess their cyber maturity, improve Microsoft Security operations and build practical pathways towards more efficient detection and response. Through Microsoft-powered consulting, professional services and managed security services, CyberOne can support organisations that need to improve visibility, reduce operational burden and build measurable resilience.
A Cyber Maturity Assessment can help identify where automation, detection engineering and managed support would provide the greatest operational value.