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  1. Microsoft security
  2. Sentinel SOC optimization
Microsoft Sentinel SOC optimization

Sentinel already knows which tables you pay to ingest and never once query in a detection. It will tell you if you ask.

The recommendations run in two directions at once. One closes coverage gaps against named threats. The other stops you paying to ingest data that delivers no security value at all. Everything recalculates every twenty four hours against your own workspace, and coverage is scored by comparing your active analytics rules against what the Microsoft research team recommends for that scenario. Our job is turning that page into a weekly rhythm your team actually keeps, for organizations across the United States.

Book a Sentinel optimization reviewSee the recommendation types
Microsoft Sentinel SOC optimization for US organizations
  • Every 24 hoursRecommendations recalculated
  • Over 75 percentWhat counts as high coverage
  • Two directionsCoverage gaps and data value
  • Mar 31, 2027Azure portal support for Sentinel ends
What it produces

Seven reasons this is the most valuable screen in Sentinel and the one least likely to be open.

There is a specific tension the feature is built around. A security team wants every log it needs to act on risk, and wants to stop paying for the logs it does not need, while adjusting controls as both the threat picture and the business change underneath them. The recommendations you get are shaped by your own environment, your current coverage and the threats actually facing you.

It names the tables you pay for and never detect on

The documented workflow is refreshingly plain. Find the tables showing low usage, which is the platform telling you nothing is detecting on them, then look at how much that unused data costs and how large it is. From there you have two honest options. Either write analytics rules so the table starts earning its keep, or adjust your commitment tier and stop paying for data you were never going to use.

Threat-based coverage, measured against Microsoft research

Coverage here means your active analytics rule count set against the number the Microsoft research team recommends for that particular threat scenario. That comparison is worth far more than a count of your own rules taken in isolation, because it measures the gap between the detections you happen to have and the detections the threat genuinely calls for.

Three coverage bands, and most organizations are not in the top one

The bands are simple. High is more than seventy five percent of recommended rules activated. Medium runs from thirty to seventy four percent. Low is anything from zero to twenty nine. What makes them useful is that they are reported per threat scenario, so a business can sit at high on one and low on another. Knowing which is which is precisely what a sensible tuning plan is built on.

Three kinds of coverage recommendation, not one

Three categories exist. Threat-based recommendations propose controls that close gaps against particular attack types. AI MITRE ATT&CK recommendations propose tagging that closes gaps against the framework. Risk-based recommendations propose controls addressing categories of business risk. That last group is the one that converts most readily into language a board will engage with.

Recalculated every 24 hours, and completed automatically

Everything recalculates on a twenty four hour cycle, so what you see tracks your environment instead of freezing a review from last quarter. There is a neat detail behind that too: if something changes in your estate that makes a recommendation moot, the optimization completes itself and moves to the completed tab, and a banner tells you how many did so since you last looked.

A status workflow, so it works as a queue

Every recommendation carries a state you set yourself: complete, in progress, active or dismissed, with a route to send feedback back to Microsoft. Anything dismissed or completed can be brought back, and when it is, the platform recalculates it against current values and actions, which takes up to an hour. Those states are what turn a dashboard into a queue a team can genuinely work through week after week.

A broader view lives in the Defender portal, and there is a date on the calendar

Once your workspace is onboarded to the Defender portal, the optimizations widen to take in coverage from across the Microsoft security services rather than looking at Sentinel by itself. Attached to that is a firm deadline. From April 2027, following the end of support on March 31 of that year, Sentinel will exist only in the Defender portal and no longer in the Azure portal.

A date to put in the plan

After March 31, 2027, Sentinel exists only in the Defender portal.

Nothing about this is advisory. It is a published retirement date, and it should change the order in which any Sentinel work over the next eighteen months gets done.

  • The wording is unambiguous. Support for Microsoft Sentinel in the Azure portal ends on March 31, 2027, after which it is available only in the Microsoft Defender portal. Everyone still using the Azure portal at that point gets redirected, and the Defender portal becomes the only place Sentinel exists.
  • The guidance to anyone still working in the Azure portal is to begin planning the move now, both to keep the transition smooth and to start benefiting from the unified security operations experience sooner.
  • For this feature in particular there is a reason not to wait for the deadline. Onboard the workspace to the Defender portal and the optimizations widen immediately, drawing on coverage from across the Microsoft security services rather than Sentinel alone.
  • Put plainly, every hour of tuning, runbook writing, training or documentation you invest in the Azure portal between now and the deadline is an hour you will spend again afterwards. Moving portals first costs less than moving portals last.
Ask us to plan your Defender portal transition
How we approach it

Four disciplines that convert a page of recommendations into a lower bill and sharper detection.

Looking at SOC optimization costs nothing, and it lives in a portal most teams open only when something is already on fire. The effort is in the deciding, table by table and scenario by scenario, and then in doing it again next month rather than treating it as a one-off.

We decide per table, not by volume

Low usage does not mean waste. Quite often the correct response is to write an analytics rule so the data starts earning its place, which is the first option the documentation puts in front of you. Cutting the biggest tables purely because they are the biggest is how a business ends up without the telemetry it needs most during the next incident, and that is a decision almost impossible to undo once the data is gone.

We prioritize Low band scenarios that match your sector

Because the bands are reported per scenario, holding zero to twenty nine percent of recommended rules is a materially different position from holding thirty to seventy four. Treating every gap as equally urgent spreads a team thin across all of them. Concentrating on the Low band scenarios that plausibly apply to your business, whether that is a regional bank, a freight operator or a hospital group, puts the effort where the risk sits.

We install solutions rather than isolated rule templates

There is a documented catch here. Install an analytics rule template from the Content hub without installing its solution and the solution shows only that one template. Install the whole solution and everything else it carries becomes visible, which typically means workbooks, hunting queries and playbooks nobody would otherwise have found.

We make it monthly, because it recalculates daily

Daily refresh, plus recommendations that close themselves out when the environment moves underneath them, favors a light touch every month over a deep dive once a year. What actually keeps the coverage bands and the ingestion trend heading in the right direction is treating the status workflow as a real queue with somebody named against it.

How we sequence it

Four phases, in which the savings found early usually pay for the coverage work that follows.

The typical Sentinel deployment was built once and never opened again. The data value recommendations tend to free up budget inside the first month, and that budget is generally enough to close the coverage gaps the same review turned up.
  1. 01
    Week 1

    Establish the baseline and the portal position

    We establish three things: what you are ingesting today, which analytics rules are live, and where each threat scenario falls on the coverage bands. If the workspace still sits in the Azure portal, the transition plan comes before any of that, both because the Defender portal widens optimizations to span the Microsoft security services and because the Azure portal now has a published end date.

    • Ingestion baseline over the published 90 day window
    • Coverage band recorded per threat scenario
    • Defender portal onboarding status established
    • Roles and permissions confirmed against Sentinel requirements
  2. 02
    Weeks 2 to 4

    Work the data value recommendations

    Every table flagged as low usage, which means nothing is detecting on it, gets reviewed individually with its size and cost on screen. Each one ends in a decision: write an analytics rule so the data justifies itself, or move the plan. Neither answer is the correct one by default. The genuinely wrong move is deciding on volume alone.

    • Every low usage table reviewed with a documented decision
    • New analytics rules written wherever the data turns out to be genuinely worth detecting on
    • Commitment tier reassessed where it does not
    • Savings quantified so they can fund the next phase
  3. 03
    Weeks 5 to 8

    Close the coverage gaps that matter

    We begin with the scenarios sitting in the Low band, reading the spider charts across tactics and techniques together with the prefiltered MITRE ATT&CK view to locate the real gap rather than the apparent one. Rules come out of the Content hub, and we install complete solutions instead of individual templates so everything else those solutions carry becomes visible.

    • Low band scenarios prioritized by relevance to your sector
    • Content hub solutions installed rather than isolated templates
    • New rules tuned before they reach the analyst queue
    • Risk-based recommendations mapped for board reporting
  4. 04
    Ongoing

    Make it a monthly rhythm

    Because the recommendations recalculate daily, the return comes from looking often rather than looking hard. A monthly pass through whatever is active, treating the status workflow as a real queue, keeps both coverage and cost drifting the right way without anyone having to run a large project every year.

    • Monthly review with a named owner
    • Status used as a queue: complete, in progress, dismissed
    • Automatic completions reviewed rather than ignored
    • Coverage bands and ingestion trend reported to the business
Where this matters most

Six US situations where an optimization review pays for itself quickly.

What we see repeatedly is a Sentinel deployment built to a good standard, connected generously, and left untouched ever since. In that situation both halves of SOC optimization reliably turn something up.

A financial firm whose ingestion bill has grown every quarter

Connectors accumulated across several years, every one of them defensible when it was added, none revisited afterwards. The data value recommendations name each table nothing is detecting on and put its size and cost beside it. That turns an awkward conversation with finance into a concrete list of decisions, each with somebody responsible for making it.

A company that inherited a Sentinel workspace from a project

An integrator built it, tuned it, handed over the documentation and moved on. In the time since, nobody has set the live analytics rules against what the research team recommends for the threats this particular business faces. The coverage bands answer that scenario by scenario in a single afternoon, with no manual gap assessment required.

A firm that needs to explain security coverage to a board

Because risk-based recommendations propose controls against categories of business risk, they are a far easier conversation than tactics and techniques ever are. Put them alongside the coverage bands and the recent optimization value figure and you have a report a non-technical audience can both follow and act on.

An operator still running Sentinel in the Azure portal

March 31, 2027 is the published cut-off, and after it Sentinel exists only in the Defender portal. There is a reason to move well before then rather than simply meeting the date. Inside the Defender portal, optimizations take in coverage from across the Microsoft security services instead of Sentinel by itself, which is both a broader and a more actionable picture.

An organization whose analysts are drowning

Bolting on detections without tuning them makes the problem worse, which is exactly why coverage work and alert quality have to happen in the same exercise. Take the Low band scenarios deliberately, tune every new rule before it is allowed near the analyst queue, and dismiss recommendations that genuinely do not apply to you. Coverage climbs; the queue does not climb with it.

A business preparing for a security audit or insurance renewal

Presenting coverage as a percentage of research-recommended rules for each threat scenario, backed by a written decision against every recommendation, puts you in a far better position at a SOC 2 audit or on an insurance questionnaire than handing over a list of enabled rules. The status workflow doubles as the record, showing what was assessed, what was acted on, and what was dismissed on purpose.

Three positions

How US organizations run their Sentinel workspace.

The middle column describes most estates. Sentinel was deployed competently during a project, connectors were enabled with a generous hand, and nothing has been looked at since the project closed out.
Coverage measured against research recommendations
Optimized monthlyYes
Deployed, never reviewedNo
Logs collected, few detectionsNo
Gaps prioritized by threat scenario
Optimized monthlyYes
Deployed, never reviewedNo
Logs collected, few detectionsNo
Unused tables identified
Optimized monthlyYes
Deployed, never reviewedNo
Logs collected, few detectionsNo
Ingestion cost actively managed
Optimized monthlyYes
Deployed, never reviewedReactively
Logs collected, few detectionsNo
MITRE coverage understood
Optimized monthlyYes
Deployed, never reviewedPartly
Logs collected, few detectionsNo
Risk-based view available to the board
Optimized monthlyYes
Deployed, never reviewedNo
Logs collected, few detectionsNo
Recommendations worked as a queue
Optimized monthlyYes
Deployed, never reviewedNo
Logs collected, few detectionsNo
Defender portal transition planned
Optimized monthlyYes
Deployed, never reviewedNot yet
Logs collected, few detectionsNot yet
New content adopted as it appears
Optimized monthlyYes
Deployed, never reviewedRarely
Logs collected, few detectionsNo
Cost trend visible to the business
Optimized monthlyYes
Deployed, never reviewedAt invoice time
Logs collected, few detectionsAt invoice time
Feature
Optimized monthly
Deployed, never reviewed
Logs collected, few detections
Coverage measured against research recommendations
YesNoNo
Gaps prioritized by threat scenario
YesNoNo
Unused tables identified
YesNoNo
Ingestion cost actively managed
YesReactivelyNo
MITRE coverage understood
YesPartlyNo
Risk-based view available to the board
YesNoNo
Recommendations worked as a queue
YesNoNo
Defender portal transition planned
YesNot yetNot yet
New content adopted as it appears
YesRarelyNo
Cost trend visible to the business
YesAt invoice timeAt invoice time
The recommendation types

What each type tells you, and what to do about it.

The types and their definitions come from the published documentation. The action column is our own, describing what we actually do with each one rather than what the vendor says about it.

Type

Threat-based coverage

What Microsoft says it covers
Proposes security controls that close coverage gaps against particular attack types
What we do with it
Start with any scenario sitting at Low, meaning you hold between zero and twenty nine percent of the recommended rules

Type

AI MITRE ATT&CK

What Microsoft says it covers
Suggests tagging that closes coverage gaps measured against the MITRE ATT&CK framework
What we do with it
The prefiltered MITRE page shows which tactics and techniques you genuinely have nothing against

Type

Risk-based coverage

What Microsoft says it covers
Proposes controls that close coverage gaps against categories of business risk
What we do with it
This is the category that survives translation into board language, so it belongs in the reporting pack

Type

Data value

What Microsoft says it covers
Improves how ingested data is used so it delivers security value, or points you at a data plan that fits better
What we do with it
Take each table on its merits: write a detection so it justifies itself, or move the plan

Type

Recent optimization value

What Microsoft says it covers
Value gained from recommendations you recently implemented
What we do with it
The figure that proves the tuning rhythm is holding, and worth putting in the monthly pack

Type

Data ingested

What Microsoft says it covers
Ninety days of total workspace ingestion, shown in the Defender portal
What we do with it
The trend line that turns an argument about ingestion cost into a discussion of evidence

Type

Optimization status

What Microsoft says it covers
The number of recommendations currently active, completed, and dismissed
What we do with it
Handled as a work queue reviewed weekly, rather than a dashboard somebody glances at
TypeWhat Microsoft says it coversWhat we do with it
Threat-based coverageProposes security controls that close coverage gaps against particular attack typesStart with any scenario sitting at Low, meaning you hold between zero and twenty nine percent of the recommended rules
AI MITRE ATT&CKSuggests tagging that closes coverage gaps measured against the MITRE ATT&CK frameworkThe prefiltered MITRE page shows which tactics and techniques you genuinely have nothing against
Risk-based coverageProposes controls that close coverage gaps against categories of business riskThis is the category that survives translation into board language, so it belongs in the reporting pack
Data valueImproves how ingested data is used so it delivers security value, or points you at a data plan that fits betterTake each table on its merits: write a detection so it justifies itself, or move the plan
Recent optimization valueValue gained from recommendations you recently implementedThe figure that proves the tuning rhythm is holding, and worth putting in the monthly pack
Data ingestedNinety days of total workspace ingestion, shown in the Defender portalThe trend line that turns an argument about ingestion cost into a discussion of evidence
Optimization statusThe number of recommendations currently active, completed, and dismissedHandled as a work queue reviewed weekly, rather than a dashboard somebody glances at
How a review runs

Five steps, and the first two usually pay for the rest.

A first pass usually runs three to six weeks, after which it settles into a light monthly rhythm. Very little is needed to start: the standard Sentinel roles and permissions, plus Defender portal onboarding if you want the wider view.
  1. 1

    Confirm access, portal position, and baseline

    Nothing exotic is required, just the standard Sentinel roles and permissions. Working in the Defender portal does mean Sentinel has to be onboarded there, and that same onboarding is what widens optimizations to span the Microsoft security services. Before we change anything, we write down the ingestion baseline and the coverage band for every threat scenario.

  2. 2

    Work the data value recommendations first

    We locate the tables reporting low usage, which is the platform saying no detection touches them, and put the size and cost of that data on the table. Every one gets a decision: pull analytics rules from the Content hub so it earns its place, or change the plan. The savings are quantified deliberately, so they can be set directly against the cost of the coverage work.

  3. 3

    Prioritize coverage gaps by band and by relevance

    Scenarios in the Low band come first, meaning anywhere between zero and twenty nine percent of the recommended rules are live, filtered down to what plausibly applies in your industry. The spider charts across tactics and techniques, together with the prefiltered MITRE ATT&CK view, show where the gap genuinely sits rather than simply counting how many rules are absent.

  4. 4

    Add content properly and tune before going live

    Complete Content hub solutions go in rather than isolated templates, which keeps the workbooks, hunting queries and playbooks they carry visible instead of hidden. Each new rule is tuned before an analyst ever sees its output, on the principle that coverage paid for in alert fatigue is not coverage gained.

  5. 5

    Establish the monthly rhythm and the reporting

    With daily recalculation and recommendations that close themselves as the environment moves, what sustains this is a monthly pass rather than an annual project. The status workflow becomes a queue with a named owner behind it, and coverage bands, ingestion trend and recent optimization value all get reported. That is what keeps it alive once we are no longer involved.

Straight answers

What organizations ask about SOC optimization.

It produces recommendations you can act on, pointing in two directions. Coverage recommendations close gaps against named threats, against MITRE ATT&CK, and against categories of business risk. Data value recommendations improve how the data you already ingest gets used, or point at a plan that fits you better. All of them are shaped around your own environment, your current coverage and the threats you actually face.

It ships as part of Sentinel and runs on the standard Sentinel roles and permissions. Reaching it in the Defender portal does require Sentinel to be onboarded there, which is worth doing regardless of this feature. In our experience the first data value pass often surfaces enough unused ingestion to pay for the coverage work the same review is recommending.

It counts the analytics rules present in your workspace and sets that against the number the Microsoft research team recommends for the threat scenario in question. Above seventy five percent activated is High. Thirty to seventy four percent is Medium. Zero to twenty nine is Low. Since the calculation runs per scenario, a business can genuinely sit at High against one threat and Low against another.

The calculation runs once every twenty four hours. On top of that, a change in your environment that renders a recommendation irrelevant causes the optimization to complete itself and move to the completed tab, with a banner on the overview telling you how many did so since you last looked. That daily cadence is exactly why a light monthly review beats an annual deep dive here.

The documented flow starts by identifying tables with low usage, which means no detection is reading them, then showing you what that unused data costs and how large it is. From there two actions are offered. One sends you into the Content hub to add analytics rule templates that use the table, landing you directly on the relevant rule. The other changes your commitment tier and takes the saving.

Not on its own, no. A table nothing detects on can still be precisely what an investigator needs at two in the morning, and writing an analytics rule so it earns its place is the first option the documentation puts forward. Take the decision table by table, weighing detection value against investigation value against cost. Cutting purely by volume is the version of this exercise people come to regret.

There are three. Threat-based recommendations suggest security controls that close gaps against particular attack types. AI MITRE ATT&CK recommendations suggest tagging that closes gaps against the framework. Risk-based recommendations suggest controls covering categories of business risk. That third one is the category that survives translation into board reporting without anyone having to explain what a tactic is.

Support for Sentinel in the Azure portal ends on March 31, 2027. After that it lives only in the Microsoft Defender portal, and anyone still on the Azure portal is redirected there. The published advice is to start planning now. Meeting the date is not the only reason to act early either, since the Defender portal widens SOC optimizations to draw on coverage from across the Microsoft security services.

In the Defender portal the overview carries recent optimization value, ninety days of ingestion, threat-based coverage optimizations with their band indicator, and optimization status. The Azure portal shows you three months of ingested data and the optimization status, and stops there. The Defender portal additionally gives you the spider charts and a direct link into a prefiltered MITRE ATT&CK view.

You can, and you should, because a list nobody triages is not a queue. The states available are active, in progress, completed and dismissed, and anything dismissed or completed can be brought back later. On reactivation the optimization is recalculated against the most current value and action, which takes up to an hour, and it may go straight back to completed if it is no longer relevant to you.

It comes down to how the Content hub behaves. Install an analytics rule template while its solution is not installed and the solution will show that one template and nothing else. Install the whole solution and every content item inside it becomes visible, which usually means workbooks, hunting queries and playbooks that teams installing rules one at a time never find out exist.

It absolutely will if the rules go on untuned, which is why they do not. Coverage and alert quality are one conversation, not two. Every new rule is tuned before it reaches an analyst queue, scenarios are ordered by how relevant they are rather than worked through exhaustively, and anything that genuinely does not apply to your business is dismissed outright rather than half-built.

Not quite, though it delivers most of the value for none of the effort, which is not the same claim. A daily comparison against research recommendations per threat scenario, mapped to MITRE, covers what a manual assessment would tell you about Microsoft-detectable threats. A full assessment still earns its fee where you carry significant non-Microsoft telemetry or custom-built systems.

Three figures reported together do the job. The coverage band per threat scenario, which keeps the picture tied to individual risks instead of collapsing into one meaningless score. Ingestion over the trailing period, which makes cost a trend line rather than a surprise on an invoice. And recent optimization value, showing what the recommendations already implemented have returned. The risk-based recommendations supply the story that goes around all three.

Scoping is per engagement, shaped by the size of the workspace, how many connectors are running, and whether you want us to implement the coverage work or simply recommend it. Three to six weeks covers the first pass. More often than not the data value findings surface enough unused ingestion that the same review pays for the coverage work it recommends.
Before the review

Fifteen questions worth answering about your Sentinel workspace.

Group one is about where you stand today. Group two is cost. Group three is coverage. In most organizations the first is known, the second is guessed at, and the third has never been examined.

Position

  • Are you in the Defender portal yet?
    Azure portal support ends March 31, 2027.
  • Who has the Sentinel roles required?
    Standard roles and permissions apply.
  • When did anyone last review analytics rules?
    Usually the answer is at deployment.
  • Is Content hub content installed as solutions?
    Templates alone hide the rest.
  • Who owns the workspace day to day?
    Optimization needs an owner, not a project.

Cost

  • What are you ingesting over 90 days?
    The Defender portal shows it directly.
  • Which tables have no detection using them?
    That is the core data value finding.
  • Is your commitment tier still the right one?
    It is a named recommended action.
  • Would basic logs suit any table?
    Change plan is offered from the recommendation.
  • Is anyone tracking ingestion trend?
    Otherwise cost conversations are anecdotal.

Coverage

  • What is your coverage band per scenario?
    High, medium, or low, per threat.
  • Which scenarios matter most to your sector?
    Prioritize those in the Low band.
  • Do you look at the MITRE view?
    It is prefiltered per scenario.
  • Are risk-based recommendations reported?
    They translate best for a board.
  • Are new rules tuned before going live?
    Otherwise coverage costs you analyst hours.
Related reading

The pages around this one.

Sentinel in the Defender portal

What the move involves, and what actually changes once the workspace is onboarded.

Learn more

Microsoft Sentinel

Sentinel itself: what it does, how connectors work, and how a workspace gets built.

Learn more

SOC as a service

Who works the alerts once the detections you just built start firing.

Learn more
Next step

Five minutes is all it takes. Open the page and read your coverage band.

Nearly every organization we work with discovers two things in that first sitting: a Low band on at least one threat scenario they genuinely care about, and at least one table they are paying to ingest that no detection has ever read.

Book a Sentinel optimization reviewSee Microsoft Sentinel services

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