How Much Does a Custom SOC Platform Cost in 2026?
Building a custom security operations centre platform costs $90,000 to $600,000 in 2026. A first release your analysts can run a shift in lands at $90,000 to $180,000, and the full platform with automated containment, retention rules and metrics runs $250,000 to $600,000.
On this page
Building a custom security operations centre platform costs $90,000 to $600,000 in 2026. A first release your analysts can run a shift in lands at $90,000 to $180,000, and the full platform with automated containment, retention rules and metrics runs $250,000 to $600,000. The number that moves the quote most is how many detection tools you need ingested, because each one arrives with its own API, its own rate limits and its own idea of what an alert is.
The three bands, and what each one buys you
Security buyers get quoted for SIEM licences constantly and for platform engineering almost never, so the first number in this space usually arrives with no reference point. These are the bands Digital Heroes actually delivers against, defined by scope rather than headcount.
- Discovery and entity model design: $18,000 to $30,000. Three to five weeks. We inventory your detection sources, sample real alert payloads from each, and design the entity resolution model that decides whether two alerts are about the same host, account or session. Get this wrong and everything built on top of it is expensive to unwind.
- First release: $90,000 to $180,000. Fourteen to twenty weeks. Alert ingestion from your top three or four sources, entity resolution, case management with structured dispositions, and a basic playbook engine. Analysts work their whole shift inside it.
- Full platform: $250,000 to $600,000. Nine to fifteen months in phases. Adds the complete playbook library, automated containment, asset criticality integration, retention rules by case type, metrics and reporting, and a threat intelligence layer.
The gap between the bands is not feature count. It is that the first release changes how a shift runs, and the full platform changes what the security function can prove to an auditor, a regulator or a board.
What drives a SOC platform quote up
- Detection source count. Budget $10,000 to $18,000 per integration once you are past the first two. Endpoint, identity, email, network and cloud sources all disagree on schema, timestamps and what constitutes a single event, and several rate limit you hard enough to require queueing and backfill logic.
- Automated containment. Isolating a host or disabling an account touches production. That means approval flows, a documented rollback path, blast radius checks and an audit record for every action taken. Containment reliably adds $40,000 to $90,000, and it is the feature most likely to be underestimated.
- Data residency. If security telemetry cannot cross a border, you are running multiple deployments with a federated query layer, not one system with a region column. That is an architecture decision with a cost to match.
- Classification handling. Government and defence environments where case data carries classification markings change the data model, the access control model and the deployment target. Treat it as a different project, not a variant.
- Retention depth. Holding a year of enriched alert and case data hot enough to query during an investigation is an infrastructure decision that shapes storage tiering in the build, not a switch you flip later.
What brings it down
- Integrate the sources that generate your volume. In most estates three or four tools produce the large majority of analyst work. The long tail can stay on manual triage for a year and cost you almost nothing.
- Ship dispositions before automation. Structured case outcomes, captured consistently, are what stop the same alert class being reinvestigated every week. That value arrives without a single automated action.
- Use your existing SIEM as the log store. You do not need to rebuild search and retention if Sentinel, Splunk or Elastic already holds the data. Build the workflow layer on top and query down.
- Defer the threat intelligence layer. Enrichment feels essential and rarely changes a triage decision in the first six months. It is a clean phase three item.
A worked example that adds up
A twelve analyst SOC covering a global manufacturer, four detection sources, an existing Splunk deployment kept as the log store. This is a first release quote, line by line.
- Discovery, alert sampling and entity model design: $22,000
- Ingestion connectors for endpoint, identity, email and firewall: $46,000
- Entity resolution and enrichment service: $30,000
- Case management with structured dispositions and linked evidence: $34,000
- Basic playbook engine with three starter playbooks: $26,000
- Analyst queue, shift handover view and search: $18,000
Total $176,000, at the top of the first release band, and the four connectors plus entity resolution are two thirds of it. Cut to two detection sources and the same scope lands near $120,000. That is the honest trade: connector count is the price dial, and every source you add should be justified by the share of alert volume it carries.
Phase by phase spend
- Phase 0, discovery and entity model: $18,000 to $30,000. Produces the integration inventory, sample payload library and a defensible estimate.
- Phase 1, first release: $90,000 to $180,000. Ingestion, resolution, cases, basic playbooks. Analysts move in.
- Phase 2, playbook library and containment: $80,000 to $200,000. The real automation, with approvals and rollback.
- Phase 3, metrics, retention, criticality and intelligence: $80,000 to $220,000. The layer that answers board and audit questions.
Phases 1 through 3 sum to the $250,000 to $600,000 full platform range. Most organisations run phase 1, live with it for a quarter, then scope phase 2 from what the disposition data tells them about where analyst time actually goes. That is a better sequencing decision than any workshop.
Timeline, and what actually paces it
Discovery is three to five weeks. The first release ships in fourteen to twenty weeks. Phase two is typically twelve to twenty weeks because approval design involves people outside security, and phase three another twelve to sixteen. Full platform elapsed time is nine to fifteen months.
The pacing constraint is rarely engineering. It is getting API credentials with the right scopes from the teams that own each detection tool, and getting change approval to let a platform take containment actions in production. Start both conversations in week one of discovery, not week one of the relevant phase.
What it costs to run, every year after
- Maintenance and support: 18% to 25% of build cost per year. Higher than a typical business system because detection vendors version their APIs aggressively and a broken connector is a blind spot, not an inconvenience.
- Storage and compute. Enriched alerts and case evidence scale with alert volume, and alert volume grows every time a new detection is written. Model it against your current growth curve, not today's number.
- Threat intelligence subscriptions. Commercial feeds are priced by the vendor and are entirely separate from the build. Building your own platform does not reduce this bill.
- Playbook upkeep. Playbooks encode your escalation policy, and policy changes. Reserve engineering days each quarter or the library quietly rots into something analysts route around.
- Analyst onboarding. A custom platform has no public training material. A short internal course and a maintained runbook are a real recurring cost in a function with normal turnover.
- Security testing of the platform itself. A system holding your incident history and able to isolate hosts deserves its own annual review. Budget for it explicitly.
How to read a quote for this
Two proposals for the same SOC platform can differ by $80,000 and both be honest. Four things are worth checking before you compare the totals.
- Which detection sources are named. A quote saying it integrates with your existing tools without listing them is pricing an assumption. Ask for the list, and for the alert payload samples each connector estimate was built from.
- Whether entity resolution is its own line item. If it is folded into ingestion, it has probably been underestimated. It is the piece that decides whether you end up with a queue or an investigation tool.
- What happens when a vendor changes an API. Connector repair belongs inside the support agreement, not billed as change requests. Over three years that difference is usually larger than the gap between the two build prices.
- Whether containment is in or out. If it appears in a first release quote, check that approval workflow and rollback are priced alongside it. Containment without an approval path will not pass your own change board.
Ask both bidders to price the first release against exactly three named detection sources. It is the fastest way to make two proposals genuinely comparable, and how each one handles that constraint tells you how they will handle scope conversations six months in.
When you should not build this
If you run three analysts, one SIEM and a fairly uniform Microsoft estate, Microsoft Sentinel plus a disciplined ticketing process will outperform anything a $150,000 build gives you in year one. Write better detections, capture outcomes in the ticket, and revisit in two years.
The same applies if your alert volume is low enough that analysts genuinely remember prior conclusions. The custom platform earns its money when institutional memory has outgrown human memory, when console hopping is measurably eating shift time, and when your detection stack is heterogeneous enough that no single vendor console can honestly be the front door. Until then you are buying workflow you do not yet need.
If you would rather someone argued with your brief than agreed with it, Digital Heroes writes a product requirements document before any code exists, so the scope is fixed and priced rather than discovered later at a day rate. You keep the specification either way.
The evidence behind this guide
Independent findings on why this investment pays off. Every link goes to the primary source.
- Companies in the top quartile of McKinsey's Developer Velocity Index had 2014-18 revenue growth four to five times faster than bottom-quartile peers, showing that software-building capability is a driver of business performance, not just a support function. Source: McKinsey & Company (2020) →
- Salesforce research indicates sales reps spend only about 30% of their time actively selling, with much of the rest lost to administrative work including manual CRM data entry and updates. Source: Salesforce (2024) →
- IBM frames first-time fix rate as a core field service KPI, noting the industry average sits around 80% (roughly one in five jobs needs a return visit). Correction: IBM cites best-in-class providers at 89-98%, not '85%+'. Source: IBM (2024) →
- SMS reminders that stated the specific cost of the appointment to the health system reduced missed appointments in Trial One, with the DNA (did-not-attend) rate falling from 11.1% (control) to 8.4% (specific-costs message) - an odds ratio of 0.74 (95% CI 0.61-0.89), i.e. roughly a 24-26% relative reduction - at no additional cost. (Trial Two replicated this at an 8.2% DNA rate.). Source: PLOS ONE (Hallsworth et al.) (2015) →
Frequently asked questions
How much does it cost to build a custom SOC platform?
A first release with entity resolution, ingestion from three or four detection sources, case management and a basic playbook engine runs $90,000 to $180,000 over fourteen to twenty weeks in Digital Heroes delivery experience. The full platform adding automated containment, the complete playbook library, retention rules, metrics and threat intelligence runs $250,000 to $600,000 phased over nine to fifteen months. Discovery beforehand is $18,000 to $30,000.
Why is a SOC platform more expensive than a normal internal tool?
Because of entity resolution and containment. Deciding that an endpoint alert and an identity alert are about the same person or machine is genuinely hard engineering, and it underpins everything else. Containment actions touch production systems, so they need approvals, blast radius checks and rollback paths that an internal dashboard never needs. Those two areas carry most of the cost.
Do I still need Splunk or Sentinel if I build my own platform?
In almost every case yes, and you should want to. Keep the SIEM as the log store and search engine and build the workflow layer above it. Rebuilding ingestion, retention and search from scratch adds six figures and buys you nothing your analysts will notice. The custom value is in triage, cases, playbooks and measurement.
How much does each detection tool integration cost to add?
Past the first two, plan on $10,000 to $18,000 per source. The variance comes from API quality: some vendors paginate cleanly and document their schema, others rate limit aggressively and require queueing and backfill logic. Integrate the tools generating most of your alert volume first, since in most estates three or four sources produce the majority of analyst work.
What does a custom SOC platform cost to maintain annually?
Budget 18% to 25% of the build cost per year, so a $176,000 first release carries roughly $32,000 to $44,000 annually. That is higher than a typical business system because detection vendors change APIs frequently and a silently broken connector means a blind spot. On top of it sit storage growth, threat intelligence subscriptions and quarterly playbook upkeep.
How long before analysts can actually work inside the platform?
Fourteen to twenty weeks from the start of the first release, with three to five weeks of discovery before that. The schedule is usually paced by getting API credentials with correct scopes from the teams owning each detection tool, not by development. Start those requests during discovery rather than when the connector work begins.
Is automated containment worth the extra cost in phase one?
Rarely. Containment adds $40,000 to $90,000 and requires approval design involving teams outside security, which stretches the timeline. Most organisations get more value from structured dispositions first, then scope containment in phase two using the disposition data to show which actions analysts repeat most. That sequencing also makes the approval conversation far easier.
What is the most commonly underestimated cost in a SOC platform build?
Alert payload variety. Teams size connectors from vendor documentation, then discover that the same tool emits six materially different alert shapes depending on the detection that fired. Sampling real payloads during discovery is what prevents this, which is exactly why discovery is priced and sold separately rather than given away.
When is buying a SOAR product better than building?
When your escalation logic is close to standard and your stack is uniform. If most alerts come from one vendor ecosystem and your response steps look like everyone else's, a SOAR product configured well beats a build. Building wins when playbooks encode institutional knowledge no vendor ships, or when your detection mix means no single console can honestly be the analyst front door.
Can we migrate years of data out of our current system into new custom software?
Almost always yes, through CSV exports or the vendor's API, and migration should be scoped as its own workstream with field mapping, a dry run, and a planned cutover window rather than an afterthought. The real time sink is rarely moving the data; it is cleaning it, since years of duplicates, free-text fields, and inconsistent formats surface all at once. Pull a full export from your current vendor before committing to anything new, because some SaaS plans restrict exports on lower tiers.
What are the most common mistakes companies make when building internal tools?
The three failures Digital Heroes sees most: building for every department at once instead of nailing one workflow, designing without the end users so staff quietly go back to their spreadsheets, and leaving no named owner after launch so small bugs pile up until the tool dies. A subtler fourth is faithfully recreating the old spreadsheet, including its workarounds, instead of fixing the process first. Start with one team's most painful workflow and put the actual users in the room from week one.
Should we build our internal tool in Retool instead of hiring developers?
Retool is the right choice if someone on your team is comfortable with SQL and JavaScript and the audience is a handful of technical users, because a basic CRUD dashboard comes together in days. Hire developers when non-technical staff will use the tool daily, when the logic goes beyond forms sitting on a database, or when per-seat pricing stings, since Retool's Business tier lists at $50 per standard user per month. A pattern Digital Heroes sees often: companies arrive after a year on Retool with a tool nobody can maintain because the one person who built it has left.
How do we migrate years of spreadsheet or Airtable data into a new internal tool?
Migration is a standard part of the build, not a separate project: the agency writes import scripts that clean, deduplicate, and map your existing rows into the new database. On typical spreadsheet and Airtable histories, Digital Heroes budgets 3 to 10 extra days, most of it spent resolving inconsistencies like the same customer spelled four different ways. The safe sequence is a trial migration first, a review of flagged conflicts with your team, then final cutover over a weekend so nobody loses a working day.
How do I vet a development agency for an internal tools project?
Ask to see two or three internal tools they have shipped and whether those clients still use them daily, because internal tools fail on adoption, not code quality. Good signs: they ask to see your current spreadsheet or process before quoting, they propose a phased build instead of one big launch, and they spell out who handles training and post-launch changes. Walk away from anyone who gives a fixed price before seeing your actual workflow, since internal tools live or die on process details.
We run everything on spreadsheets and Airtable. How do we know it's time for custom software?
The reliable signals are re-typing the same data into multiple tools, one employee acting as human middleware between systems, and errors appearing in handoffs between teams. Hard limits force the issue too: Airtable's Team plan caps at 50,000 records per base, and Business costs $45 per seat per month, so a 20-person team pays about $10,800 a year for a tool it has already outgrown. When workarounds consume more hours than the tools save, the spreadsheet era is over.
What happens to my software if the agency shuts down or we stop working together?
Nothing dramatic, if the engagement was set up correctly: the code sits in your repository, hosting runs on your cloud account, and a handover document explains how to deploy and operate the system. Any competent replacement team can then take over in days rather than months. If the agency controls the repo, the servers, or the domain, fix that now, because renegotiating access during a dispute is the most expensive place to discover the problem.
How many developers does it take to build an internal tool?
Two to four people covers nearly every internal tool: one or two developers, a part-time designer, and a project manager who doubles as your single point of contact. Internal tools rarely need consumer-product polish, so a full-time dedicated designer is usually wasted budget. On Digital Heroes projects, a two-person core team handles the typical 4 to 8 week build, with a specialist pulled in briefly for a tricky integration or a security review.
Who can build a custom internal tools system?
Digital Heroes builds custom internal tools systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, with an assigned senior team rather than an account manager.
Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.
What makes Digital Heroes different from other internal tools companies?
Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.
Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.
How can I check Digital Heroes is legitimate before getting in touch?
Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.
Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.
Related guides
Published · Last updated .
