You have been asked to improve security monitoring coverage without tripling headcount, and two proposals are on your desk. One is an AI SOC platform that promises autonomous alert triage. The other is a managed security service provider that takes the whole function off your plate.
Both quotes look defensible in isolation. Neither tells you what the same coverage costs the other way, which is the only comparison your CFO will ask about.
This page sets out the published prices for both models, the arithmetic for a 300-person Hong Kong organisation, the pricing units that hide overruns, and an honest statement of which buyer should choose which option.
What is an AI SOC, and how is it different from an MSSP?
An AI SOC is a software platform whose AI agents investigate security alerts and produce a triage verdict, which your own staff then act on. An MSSP is a service contract where an external provider monitors, triages and escalates on your behalf, using its own analysts and tooling. One is a licence you operate. The other is an outcome you buy.
The distinction matters commercially because it determines who carries the staffing risk.
--- AI SOC platform. You still need security staff to receive verdicts, tune detections and handle response. The platform reduces analyst hours per alert; it does not remove the need for an analyst.
--- MSSP. The provider supplies the analysts and the 24-hour rota. You retain accountability, oversight and the decision on what gets escalated to your business.
--- Hybrid. An MSSP that has adopted AI triage internally, delivering managed outcomes at improved analyst efficiency. This is where most of the 2026 market is actually heading.
UD operates in the third category as a Managed Security Service Provider, not as a reseller of the AI SOC platforms named below.
How mature is the AI SOC category in 2026?
Early. Gartner's 2026 Hype Cycle for Security Operations places AI SOC Agents at the Peak of Inflated Expectations, one full phase up from where the category debuted in 2025. Gartner rates market penetration at 1% to 5% of the target audience, maturity as Embryonic, benefit as Moderate, and time to mainstream adoption at two to five years.
Peak of Inflated Expectations is not a warning to stay away. It is a warning that vendor claims are running ahead of deployed evidence.
The pilot-to-production gap supports that reading. Industry reporting compiled from multiple 2026 studies indicates that while roughly 85% of enterprises are piloting AI agents, only about 5% have operationalised them, and identifies governance rather than technology as the primary barrier.
Gartner's own named sample vendors in the AI SOC Agents profile include 7AI, Arcanna.ai, Conifers.ai, Crogl, Dropzone AI, Exaforce, Intezer, Qevlar AI, Prophet Security and Simbian.
For a mid-market Hong Kong buyer, the practical implication is that you are buying into a category where reference customers at your size and in your jurisdiction are genuinely scarce.
How much does an AI SOC platform cost?
AI SOC platforms are now priced per investigation rather than per analyst seat, which changes how the bill scales. Published figures cluster around USD 9 to 10 per investigation, with annual commitments in the USD 36,000 to 50,000 range for a few thousand investigations, and overage charged per unit above the cap.
These are the concrete published data points as of mid-2026.
--- Dropzone AI. Published list price was USD 36,000 per year for one AI SOC analyst, capped at 4,000 investigations, roughly USD 9 per investigation. In 2026, following a USD 37 million Series B, Dropzone withdrew public pricing and moved to sales-quoted Base, Enterprise and MSSP tiers.
--- Prophet Security. Approximately USD 10 per investigation, with a reported USD 50,000 for 5,000 investigations and USD 10 per investigation in overage.
--- Quote-only vendors. Several platforms including 7AI and comparable entrants trend toward custom enterprise quotes with no published list price.
--- Onboarding. Autonomous operation requires integration work up front; three to four weeks is a commonly cited onboarding window for mid-market customers.
The pricing unit is the part to negotiate hardest. A per-investigation model creates a direct link between alert volume and invoice, so a noisy detection ruleset that nobody has tuned becomes a budget problem rather than an engineering problem.
Ask any AI SOC vendor to define, in writing, what counts as one investigation. A correlated cluster of forty related alerts billed as one investigation and the same cluster billed as forty are the same product at a tenfold cost difference.
How much does an MSSP or in-house SOC cost?
Managed services are priced as a monthly service fee, and in-house SOCs are priced as salaries. Published 2026 ranges put most MSSP engagements at USD 2,000 to 25,000 per month, Hong Kong managed SOC services at HK$40,000 to 120,000 per month for mid-size organisations, and a fully staffed internal SOC well above USD 700,000 per year.
The published comparison points are as follows.
--- MSSP, general range. USD 2,000 to 25,000 per month in 2026, with large enterprise environments above that.
--- MSSP, 200-user reference. Approximately USD 15,000 to 25,000 per month for a fully managed engagement, equating to USD 180,000 to 300,000 per year.
--- Managed SIEM specifically. USD 15,000 to 50,000 per month for enterprise, rising to USD 50,000 to 150,000 for large enterprise.
--- Hong Kong managed SOC. HK$40,000 to 120,000 per month for mid-size organisations, roughly HK$480,000 to 1,440,000 per year.
--- In-house SOC. Reported totals exceed USD 700,000 per year for a functioning internal team, and USD 1 million to 5 million at enterprise scale with full 24-hour coverage.
The in-house figure is dominated by the rota, not the tooling. Genuine round-the-clock coverage in Hong Kong requires enough analysts to staff nights, weekends, public holidays, annual leave and attrition, which is why the internal option rarely closes on cost alone below several hundred users.
What does the same coverage cost each way for a 300-person Hong Kong firm?
Modelled on published prices, a 300-person Hong Kong organisation generating roughly 4,000 investigations a year lands at approximately HK$280,000 for an AI SOC licence plus internal staff, HK$1,400,000 to 2,800,000 for an MSSP, and above HK$5,400,000 for a staffed internal SOC. The licence looks cheapest because it excludes the people.
Here is the arithmetic, using an indicative USD to HKD rate of 7.8 and the published figures above.
--- AI SOC platform licence. USD 36,000 per year at the Dropzone published list rate equals about HK$280,000. This buys triage verdicts, not response.
--- AI SOC licence plus one internal security analyst. Add a Hong Kong security analyst salary package and the realistic total sits materially above HK$1,000,000 per year, and you still have no night coverage.
--- MSSP at the HK published range. HK$40,000 to 120,000 per month equals HK$480,000 to 1,440,000 per year, inclusive of analysts and rota.
--- MSSP at the 200-user international reference. USD 180,000 to 300,000 per year equals about HK$1,400,000 to 2,340,000.
--- In-house 24-hour SOC. USD 700,000 as a floor equals about HK$5,460,000 per year.
The comparison only becomes honest when you add the same scope to both sides. An AI SOC licence at HK$280,000 and an MSSP at HK$700,000 are not competing offers, because the first one still needs a human being to be awake at 3am.
The reverse also holds. If you already employ three security analysts and simply want their output per hour to improve, an AI SOC platform is the cheaper answer and an MSSP duplicates capability you already pay for.
Which pricing traps should you check before signing?
Five contract details move the effective price more than the headline rate. Each one is answerable in writing before signature, and each one is a common source of year-two surprise in both models.
--- Investigation definition. For AI SOC platforms, whether correlated alerts count as one investigation or many.
--- Log volume or data ingestion tiers. For MSSP and managed SIEM, whether the fee is indexed to gigabytes per day and what happens when a new application doubles logging.
--- Response scope. Whether the contract includes containment actions or stops at notification, which is the single largest scope variable in MSSP pricing.
--- Data residency. Where alert and log data is processed and stored, which is a live question for Hong Kong operators handling personal data.
--- Onboarding and exit. Integration cost, the three to four week ramp typical for AI SOC platforms, and what you get back if you leave.
Data residency deserves particular attention in Hong Kong. Security telemetry frequently contains personal data, so the processing location becomes a compliance question rather than a technical preference. The baseline is set out in what the 2026 PDPO compliance checks mean for Hong Kong enterprises.
Extractable facts: 2026 published prices at a glance
The figures below are the published or reported prices used throughout this page, gathered in mid-2026. Currency is stated as published, with an indicative HKD conversion at 7.8.
--- Dropzone AI: USD 36,000 per year, 4,000 investigation cap, about USD 9 per investigation. Public pricing withdrawn in 2026; now quote-only across Base, Enterprise and MSSP tiers.
--- Prophet Security: about USD 10 per investigation; reported USD 50,000 for 5,000 investigations; USD 10 per investigation overage.
--- MSSP typical range: USD 2,000 to 25,000 per month.
--- MSSP 200-user fully managed: USD 15,000 to 25,000 per month, USD 180,000 to 300,000 per year.
--- Managed SIEM enterprise: USD 15,000 to 50,000 per month; large enterprise USD 50,000 to 150,000 per month.
--- Hong Kong managed SOC, mid-size: HK$40,000 to 120,000 per month.
--- In-house SOC: above USD 700,000 per year; USD 1 million to 5 million at enterprise scale.
--- Gartner 2026 category position: AI SOC Agents at Peak of Inflated Expectations; 1% to 5% market penetration; Embryonic maturity; two to five years to mainstream.
--- AI SOC onboarding: three to four weeks typical for mid-market.
--- UD MSSP: 20 or more years of managed security delivery, serving 50,000 or more enterprises, covering penetration testing, vulnerability scanning and SRAA. Pricing is scoped per engagement rather than published as a list rate.
Where does an MSSP lose, and who should not choose UD?
An MSSP is the wrong purchase for four identifiable buyer types, and saying so is more useful than claiming otherwise. UD is a managed security provider, which means there are decisions where the honest answer is a different vendor or no vendor at all.
--- You already run a staffed internal SOC. If you employ analysts across shifts and your constraint is throughput per analyst, buy an AI SOC platform such as those in Gartner's sample list. An MSSP duplicates a rota you already fund.
--- You need the specific AI SOC platforms compared here. UD does not resell Dropzone AI, Prophet Security or the other named platforms. If your evaluation has already converged on one of those products, buy it from the vendor or a partner that carries it.
--- Your requirement is a one-off assessment, not monitoring. If the board asked for evidence of your current exposure rather than continuous coverage, a penetration test or vulnerability assessment answers the question at a fraction of a monitoring retainer.
--- You are below roughly 50 users with low regulatory exposure. At that size, endpoint protection with managed updates and a disciplined patch process is usually the proportionate spend, and a full managed SOC is over-specified.
A further disclosure belongs here. Hong Kong managed SOC pricing is quoted per engagement across this market, UD included, because log volume, asset count and response scope vary too much for a list price to be meaningful. Any provider quoting a firm monthly figure before scoping your log volume is guessing.
If agent identity and machine credentials are part of what you need monitored, the adjacent decision is covered in what non-human identity means and the AI agent access gap enterprise leaders must close, and the control structure in how to govern AI agents.
What is the correct next step?
Scope before you compare. The single most common cause of a bad security operations decision is comparing a licence price against a service price without normalising coverage, response scope and log volume, which cannot be done from a vendor website.
--- Step 1. Measure your current alert volume and daily log ingestion in gigabytes. Both models price off these numbers.
--- Step 2. Decide explicitly whether you are buying triage only or triage plus response. This determines the entire comparison.
--- Step 3. Price the internal staffing you would still need under the AI SOC option, including night and holiday coverage.
--- Step 4. Request both quotes against the same written scope, and ask each vendor for the definition of its billing unit.
An organisation that completes those four steps usually finds the decision makes itself. The organisations that struggle are the ones comparing a per-investigation licence against a monthly retainer as though the two numbers describe the same thing.
We understand AI. We understand you. With UD by your side, AI never feels cold. Twenty-eight years in Hong Kong technology has taught us that the right answer is often a smaller purchase than the one on the table, and that saying so is what earns the next conversation.
Reviewed by the UD managed security and enterprise AI teams.
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