Why DDoS Detection Pricing Has Not
Changed in 10 Years (and Why It Should)

We sell Flowtriq at $9.99/node/month, so we have a direct commercial interest in questioning legacy pricing models. This post makes an argument rather than just presenting data. Take it for what it is: a perspective from a vendor that believes the market is ready for different economics.

The pricing models that have not moved

DDoS detection pricing has consolidated around three models that have remained essentially unchanged since the mid-2010s:

Bandwidth-tier licensing

FastNetMon Advanced prices its detection at $115/month for 10 Gbps, $220/month for 40 Gbps, and $350/month for 100 Gbps, according to their pricing page. This model ties detection cost to observed traffic volume. The structure, cost scaling with bandwidth, has been the dominant pricing approach for on-premises detection tools for over a decade.

Per-component licensing

Andrisoft Wanguard charges $595/year per Sensor and $995/year per Filter, according to their online store. Detection and mitigation are priced as separate components. This model dates back to when detection and mitigation were genuinely separate systems running on separate hardware.

Enterprise "call for pricing"

NETSCOUT Arbor, Radware, and Corero do not publish pricing at all. Enterprise buyers request quotes, negotiate annually, and sign multi-year contracts. This model has been the norm for hardware-based DDoS appliances since the early 2010s.

What has changed since these models were designed

Detection moved from centralized to distributed

In the mid-2010s, DDoS detection meant a central server consuming NetFlow from a few edge routers. Bandwidth-tier pricing made sense because the server's workload scaled with traffic volume. More traffic meant more flow records to process.

In 2026, detection can run as a lightweight agent on every node in your infrastructure. The agent reads network interfaces directly with negligible CPU overhead. The relationship between traffic volume and detection cost has weakened because the processing is distributed across existing infrastructure rather than concentrated on a dedicated server.

Dashboard access became essential, not optional

A decade ago, DDoS tools were managed by a single senior network engineer who was comfortable with CLI. Today, NOC teams have 3-10 people who need visibility during incidents. Charging $70/user/month for dashboard access (FastNetMon LiveView's pricing) treats a basic operational requirement as a premium feature.

For comparison: Grafana, Datadog, and every modern observability tool include web dashboards as a baseline feature, not an add-on. DDoS detection is the exception.

The mid-market appeared

The DDoS detection market was historically split between free open-source tools and enterprise hardware appliances costing $50,000+. The mid-market, hosting providers, small ISPs, SaaS companies with 5-50 servers, had no option that matched their needs and budget. They used open-source tools with workarounds or went without detection entirely.

This segment is now the fastest-growing buyer of DDoS detection, and legacy pricing models do not serve them. $115/month minimum with $85 activation fees and per-user dashboard charges is too much for a 5-server hosting provider. Enterprise "call for pricing" is inaccessible.

Attack frequency increased, making support caps untenable

NETSCOUT's threat intelligence reports document year-over-year increases in DDoS attack frequency. More attacks mean more support interactions. A support model that allocates 1-3 tickets per month (FastNetMon's non-enterprise tiers) was designed for a lower attack frequency environment.

What modern pricing should look like

Based on how teams actually deploy and operate DDoS detection in 2026, pricing should:

1. Scale with infrastructure, not traffic. Per-node or per-deployment pricing aligns cost with what you are protecting, not how much traffic flows through it. Network growth should not trigger cost jumps.
2. Include the dashboard. Every team member who needs incident visibility should have it without per-user fees. Read-only viewers should not cost the same as administrators.
3. Include support without caps. DDoS is a security product that generates unpredictable support needs. Capping tickets creates the wrong incentive structure for a tool you depend on during incidents.
4. Be transparent. Published pricing that includes all components (detection, mitigation, dashboard, support, API) lets buyers compare without requesting quotes and negotiating with sales teams.
5. Have no activation fees. One-time fees create friction for evaluation and penalize operators who need to restart or reconfigure deployments.

Why the old models persist

Legacy pricing models are not irrational. They persist for understandable reasons:

• Installed base. Existing customers are on current pricing. Changing the model risks revenue disruption.
• Revenue predictability. Bandwidth tiers and annual contracts provide predictable revenue. Per-node monthly pricing is more volatile.
• Upsell structure. Per-user dashboards and tiered support create natural upsell paths. Flat pricing gives up that revenue.
• Enterprise sales culture. Vendors with enterprise sales teams are optimized for contract negotiation, not self-serve pricing pages.

These are valid business reasons. But they are vendor-centric, not buyer-centric. The market shifts when a critical mass of buyers chooses alternatives that align pricing with their operational reality.

Frequently asked questions

The bottom line

DDoS detection pricing was designed for a centralized, CLI-managed, enterprise-sales-driven market that existed a decade ago. The market in 2026 is distributed, dashboard-driven, and includes a mid-market segment that did not exist when the pricing models were set. The vendors that adapt their pricing to how teams actually deploy and operate detection will capture the growth. The ones that hold onto bandwidth tiers, per-user dashboard fees, and ticket-capped support will increasingly serve a shrinking segment of buyers who are locked into legacy contracts.