SOC for Small & Mid-Sized Businesses

The SMB security gap

Small and mid-sized businesses face essentially the same threat landscape as large enterprises, the same ransomware groups, the same phishing campaigns, the same credential-stuffing attacks, but with a small fraction of the budget and staff enterprises use to defend against them. This mismatch isn't a minor inconvenience: industry data consistently shows that a large share of cyberattacks, commonly cited around 43%, specifically target small businesses, in part because attackers recognize that SMBs are less likely to have mature detection and response capability in place.

The traditional paths to closing this gap are both poor fits for most SMBs. Building an in-house SOC realistically costs well over a million dollars annually once staffing, tooling, and infrastructure are included, a nonstarter for the vast majority of companies in this size range. Managed detection and response (MDR) services are more affordable but still typically run $10 to $50 or more per user per month, and come with a real trade-off: limited visibility into and control over the detection logic and response decisions being made on your behalf by an external provider's team.

• SMBs face the same threats as enterprises but with a fraction of the resources
• Building an in-house SOC is cost-prohibitive ($1M+ annually)
• Managed services (MDR) are expensive and limit control
• SMBs are prime targets 43% of cyber attacks target small businesses

How Helxon bridges the gap

Helxon's agentic AI SOC platform is built specifically to close this gap without requiring either a large in-house team or a fully outsourced managed service. Because agentic AI autonomously handles the investigation and response work that traditionally required multiple tiers of human analysts, a single security-aware staff member, an IT director, a sysadmin, or a dedicated security hire, can effectively operate coverage that would otherwise require a five-person analyst rotation to sustain around the clock.

The platform unifies whatever security tools you already have, even basic or free tooling like Microsoft Defender or a cloud provider's native security features, into one correlated view, so you don't need to rip out and replace your existing stack to get real cross-source detection. Pricing is structured specifically for the 50 to 2,000 employee range, rather than being a scaled-down version of enterprise pricing that still assumes enterprise budgets. And because detection, investigation, and response all happen autonomously within the platform, there's no need to separately hire SIEM engineers, SOAR developers, or staff a 24/7 analyst rotation just to keep the lights on.

• AI Agentic SOC that operates autonomously a team of 1 can run enterprise-grade security
• Unifies your existing tools (even free/basic ones) into a correlated security view
• Pricing designed for 50–2,000 employee organizations
• No SIEM engineers, SOAR developers, or 24/7 analyst rotations required

What an SMB actually needs to get started

Unlike an enterprise SIEM deployment, getting started doesn't require a lengthy procurement process or a dedicated project team. Most SMBs already have the basic building blocks in place, an endpoint security tool (even a built-in one like Microsoft Defender), an identity provider (Microsoft Entra ID, Google Workspace, Okta), and some form of cloud infrastructure (AWS, Azure, or Google Cloud), and these existing tools are exactly what an agentic platform needs to begin correlating activity and detecting threats.

The typical starting point is connecting these existing tools through pre-built connectors, a process that takes hours to days rather than weeks, and letting the platform begin building a behavioral baseline for the environment. There's no requirement to purchase additional security tooling before getting started; the value comes from correlating and investigating activity across what you already have, adding new sources incrementally as budget and priorities allow.

Common concerns SMB leaders raise, addressed directly

A frequent concern is whether a single person can genuinely be responsible for an organization's security without being overwhelmed. The honest answer is that this works specifically because the agentic AI absorbs the repetitive, high-volume triage and investigation work that would otherwise require multiple analysts, leaving that one person to focus on reviewing genuinely ambiguous findings and making strategic decisions, a fundamentally different and more sustainable workload than manually processing every alert.

Another common concern is cost predictability, SMB budgets often can't absorb a security bill that fluctuates significantly month to month the way data-volume-based pricing can. Flat published pricing addresses this directly: plans are banded by endpoint count and the fee doesn't move as telemetry volume grows, so a 100-endpoint business knows it is paying $650 a month self-managed or $1,300 fully managed before it ever contacts sales, which makes annual budgeting straightforward in a way per-GB or per-analyst-hour pricing models don't allow. A third common concern is whether adopting this kind of platform locks a growing company into something it will outgrow, in practice, the same platform that serves a 50-person company scales to a 2,000-person one without requiring a re-platform, since the constraint that traditionally forced a switch, analyst headcount, isn't the bottleneck in an agentic model the way it is in a traditional staffed SOC.

Real-world results

A 200-employee company runs an enterprise-grade SOC with a single security engineer on Helxon with first detections live within 3 days and autonomous 24/7 coverage that would otherwise require a five-person analyst rotation.