SMB IT Budget 2027: Split Software, AI and Security

1 Settembre 2026
Michele

Here is how the breach starts, and it starts in a spreadsheet.

  1. A mid-market manufacturer in Emilia-Romagna approves the 2027 IT budget in November 2026. Line items: ERP renewal, a Copilot pilot, laptop refresh, and "security" as a single undifferentiated figure of roughly six percent.
  2. The Copilot pilot goes live in March. Nobody scopes the connectors. Nobody reviews which SharePoint sites the indexing service can reach.
  3. In June, an employee in accounts payable clicks an adversary-in-the-middle phishing page. The session cookie is stolen. MFA was present and irrelevant.
  4. The attacker logs in, opens the AI assistant, and types: "summarize documents mentioning credentials or VPN access." The assistant, obediently, does exactly that. It has better search coverage of the tenant than the IT team does.
  5. Lateral movement takes eleven days. Dwell time before detection: forty-three.

No zero-day. No nation-state. A team of four with a phishing kit they rented monthly and the patience to read what came back. Total attacker cost: maybe two thousand euros. Total defender cost: substantially more than that.

The point of that story is not the phishing. It is the spreadsheet. The budget structure created the detection gap before anyone wrote a line of code. So let us talk about how to allocate the 2027 IT budget for a small-to-medium enterprise — software, AI, and security — with an attacker's arithmetic rather than a vendor's.

The context nobody in the boardroom has actually read

Italian ICT spending is going up. The Politecnico di Milano's Osservatori data, summarized by ZeroUno, shows the majority of Italian firms increasing ICT budgets, with cloud, security, and data at the top of the priority list. Meanwhile the Italian AI market is projected to reach roughly 2.5 billion euros by 2027. Security spending trends compiled by StationX put typical security allocation somewhere between 5 and 15 percent of the IT budget depending on sector and paranoia.

Those numbers are real. They are also close to useless as a planning tool, because "12 percent on security" tells you nothing about whether you can detect a compromised session token on a Tuesday. Percentages are a compliance artifact. They make good slides. They do not stop lateral movement.

What follows is a structure, not a ratio. Ratios come at the end, and reluctantly.

Bucket one: software, or the attack surface you pay for annually

Most SME software budgets are archaeology. Layer upon layer of tools purchased by people who no longer work there, renewed automatically, integrated with OAuth grants nobody has audited since 2021.

Before allocating a single euro to new software in 2027, run the inventory. Not the finance inventory — the identity inventory. Every third-party application with a token into your Microsoft 365 or Google Workspace tenant is a pivot point. Attackers know this. Consent phishing works because users click "Accept" on an app requesting Mail.Read and offline_access without any idea what they just handed over, and the resulting refresh token survives password resets.

Practical software allocation for 2027:

  • Consolidation before acquisition. Every tool you retire is attack surface removed for free. This is the only line item in your budget with negative cost and positive security value. NIX United's budget framework makes the same point from a purely financial angle; I make it from a blast radius angle. We agree.
  • Licensing tier honesty. Many SMEs run Microsoft 365 Business Standard and then complain they have no log retention. The audit logs you need for incident response live in higher tiers. Either buy the tier or accept that your post-incident investigation will be a shrug. Both are valid choices. Pretending you made the first one while paying for the second is not.
  • Lifecycle and end-of-support. Anything reaching end of support during 2027 is a 2027 budget item, not a 2028 problem. Unpatched edge devices — VPN concentrators, file transfer appliances — remain the single most reliable initial access vector for financially motivated groups. They scan the entire IPv4 space in hours. Your obscurity is not a control.

The renewal trap

Vendors price the renewal against your switching cost, not against the value delivered. In 2027 that gap widens because "AI features included" is the new justification for a 20 percent uplift. Ask precisely what the AI feature does, where the inference happens, what data leaves your tenant, and whether it is contractually excluded from training. If the answer arrives in a marketing deck rather than a data processing addendum, the answer is no.

Bucket two: AI, or how to buy a very fast intern with no security clearance

I am not an AI skeptic. Generative tooling genuinely compresses work for small teams, and the adoption guidance for Italian SMEs — see the eight-step framework from Agenda Digitale — is broadly sound: start with a defined use case, measure, expand. Project's SME adoption guide covers the operational side well.

What almost none of it covers adequately is that an AI assistant is a privilege escalation engine when it inherits over-permissive access.

Think about what an enterprise LLM assistant actually is from my side of the table. It is a search interface that ignores the practical obscurity that has been protecting your badly-permissioned file shares for a decade. Nobody found that HR folder with the salary spreadsheet because nobody knew the path. The assistant knows the path. It knows all the paths. And it will summarize them in Italian, English, or Farsi, whichever you prefer.

So the AI budget has a mandatory dependency, and it is not optional:

  1. Permission remediation first. Before you enable any tenant-wide AI indexing, audit sharing links, orphaned sites, and "Everyone except external users" grants. Budget the labor. It is boring, it is billable, and skipping it is how the scenario at the top of this article happens.
  2. Define the data boundary. Which repositories are in scope for indexing? Write it down. Enforce it technically, not in a policy document that lives in a folder the assistant can also read.
  3. Shadow AI discovery. Your staff are already pasting client data into consumer chatbots. This is not hypothetical, it is universal. Either provide a sanctioned tool with a DPA, or accept uncontrolled data egress. Budget for the sanctioned tool; it is cheaper than the alternative.
  4. Prompt injection in anything agentic. If your AI reads external content — email, web pages, supplier PDFs — that content is untrusted input reaching a system with your privileges. Indirect prompt injection is a real, documented, currently-unsolved class of vulnerability. Keep agents that take actions separate from agents that read the outside world, or accept the coupling knowingly.

My allocation advice: spend less on AI licenses in 2027 than you think, and spend the difference on the data hygiene that makes those licenses safe. Half the AI budget being non-AI work is not a failure of the AI budget. It is what a competent AI budget looks like.

Bucket three: security, and the difference between tools and outcomes

Here is the uncomfortable part. Most SME security budgets buy products. Products generate alerts. Alerts require humans. The humans do not exist. Therefore the alerts accumulate in a console nobody has logged into since the demo.

I have run assessments where the EDR detected my initial payload correctly, raised a high-severity alert, and nobody looked at it for nine days. The product worked. The security program did not. The company was compliant. The company was also, in the operational sense, undefended.

If you cannot afford a SOC — and most Italian SMEs cannot, a point Datago makes plainly — then buy the monitoring as a service. An MDR contract with a contractual response time beats three best-of-breed products with nobody watching them. Every time. Not close.

Priority order, calibrated for an SME with no dedicated security staff

  1. Identity hardening. Phishing-resistant MFA (FIDO2 or passkeys) for administrators, minimum. Conditional access. Token protection where your licensing supports it. Identity is where the compromise begins in the overwhelming majority of cases I work.
  2. Backups that survive the attacker having domain admin. Immutable, offline or logically isolated, and — this is the part people skip — restore-tested with a stopwatch. An untested backup is a hypothesis.
  3. Managed detection and response. Endpoint plus identity signals, twenty-four hours, contractual containment authority. Yes, it is an operating expense forever. So is the electricity.
  4. Patching, prioritized by exploitation, not by CVSS. CVSS 9.8 on an internal print server matters less than a 7.5 on your internet-facing edge appliance with a public exploit. Use CISA's Known Exploited Vulnerabilities catalog as your queue.
  5. Incident response retainer. The worst time to negotiate a forensics contract is at 03:00 during an active ransomware deployment. The retainer is insurance you can actually make a claim against.
  6. Awareness training. Last, deliberately. It has value. It has far less value than items one through five, and it is where budget-constrained organizations spend first because it is cheap and produces a certificate.

NIS2, and why compliance is a floor made of tissue paper

Many Italian SMEs are now in NIS2 scope directly or through supply chain obligations. Budget for it. But be clear about what you are buying: NIS2 compliance is a documentation and governance exercise with a security component. It is not a security program. I have compromised certified organizations inside four hours. The certificate was accurate. The controls were implemented. They were implemented for the auditor's checklist, not against a live adversary, and those are different design goals.

Treat regulatory spend as a separate line from operational security spend. When they are merged, the operational half gets eaten by the compliance half, because compliance has a deadline and a fine attached, and detection engineering does not.

The ratios, since you scrolled here anyway

For a mid-market Italian company with a hundred to five hundred employees, a defensible 2027 split looks roughly like: 45–55 percent on core software and infrastructure, 10–15 percent on AI including the data preparation it demands, 15–20 percent on security operations, 5–10 percent on compliance and governance, and 10 percent unallocated. Enstep's 2027 planning guidance lands in a similar range.

That last 10 percent is the important one. It is the incident reserve. Something will break, an exploited vulnerability will demand emergency remediation, or a supplier will get compromised and drag you into their blast radius. If your budget has no slack, the response comes out of whatever project was scheduled for Q4 — and in my experience the project that gets sacrificed is always the security project, because it was the one without a revenue attribution.

Build the reserve. Defend it. And when someone asks why the budget has an unallocated line, tell them it is the only line that has ever been fully spent on time.

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