Vectra AI Pricing in 2026: What Enterprises Actually Pay

Cybersecurity

Vectra AI, Inc. NDR · Cloud Detection · Identity Detection · Attack Signal Intelligence · MDR

NDR (per IP/yr, enterprise)

How Vectra AI Pricing Works

Vectra AI sells a unified AI-driven threat detection platform organized around a single detection engine (Attack Signal Intelligence) that operates across multiple attack surfaces: network (NDR), cloud infrastructure (AWS, Azure, GCP), SaaS applications (primarily Microsoft 365), and identity (Active Directory and Azure AD). The commercial model has shifted significantly from the original Cognito branding (Cognito Detect, Cognito Recall, Cognito Stream) to the current unified "Vectra AI Platform" with module licensing. Enterprise buyers encountering Vectra today should expect a platform-centric pricing conversation rather than product-by-product quoting. For a broader view of how NDR and XDR are priced across the category, see our cybersecurity pricing benchmark.

Network detection and response (NDR), Vectra's original and largest product line, is priced on a combination of protected IP count (the number of hosts generating traffic being analyzed) and sensor deployment (physical or virtual sensors deployed in the environment). Enterprise pricing typically runs $8 to $22 per protected IP per year at negotiated rates, with list pricing in the $15 to $30 per IP per year range. Sensor hardware is priced separately; a mid-range sensor supporting several Gbps of traffic analysis lists at $40K to $80K, with virtualized sensors running on customer-provided infrastructure at lower hardware cost but equivalent licensing.

Cloud detection products (Vectra for AWS, Vectra for Azure, Vectra for GCP) license per cloud account or subscription, with pricing scaled to the scope of cloud workloads. Mid-market cloud deployments with 10 to 50 AWS accounts or Azure subscriptions typically run $50K to $200K annually for cloud-only coverage. The cloud detection component analyzes control plane activity (API calls, IAM events) rather than network traffic, so the pricing model is different from NDR. Cloud detection modules are often bundled with NDR at a discount when purchased together, this bundle discount is one of the primary negotiating levers for enterprises expanding cloud coverage on an existing Vectra NDR contract.

Vectra for Microsoft 365 provides detection across M365 services, Exchange Online, SharePoint, OneDrive, Teams, and Vectra for Identity provides detection for Active Directory and Azure AD. These are typically priced per user per year, usually in the $3 to $8 per user per year range at enterprise scale. Managed Detection and Response (MDR) is a separately licensed service that adds Vectra's security operations team as a managed SOC function, pricing is typically calculated as a percentage uplift (25 to 40 percent) on underlying platform licensing.

What Enterprises Actually Pay for Vectra AI

Enterprise Vectra spend scales with protected IP count, cloud environment scope, and M365/identity coverage. Our benchmark database of Vectra contracts shows the following patterns.

Small enterprise NDR-only deployments (2,500 to 10,000 protected IPs) typically pay $75,000 to $275,000 annually. At this scale, Vectra typically sells through partner channels (Optiv, GuidePoint, Trace3, regional security VARs) rather than direct sales. Discounts are modest, 20 to 30 percent, because deal size does not justify dedicated enterprise sales engagement. Organizations in this range often achieve better pricing by structuring deals through security-focused VARs with access to Vectra's partner pricing tiers.

Mid-market enterprise deployments (10,000 to 50,000 IPs plus M365 plus one cloud) typically pay $350,000 to $1,000,000 annually. At this scale, Vectra assigns dedicated enterprise account executives, and discounts of 30 to 40 percent become achievable with Darktrace or ExtraHop on the table as credible alternatives. Multi-module bundling, NDR plus M365 plus one cloud environment, creates meaningful leverage because Vectra will discount aggressively to secure platform commitments.

Large enterprise deployments (50,000+ protected IPs plus multiple clouds plus full M365 and identity coverage plus MDR) represent Vectra's largest accounts and typically run $1.5M to $4M+ annually. Fortune 500 organizations in financial services, healthcare, and technology verticals with large network footprints and multi-cloud environments drive the highest Vectra spend. At this scale, discounts of 35 to 45 percent off list become achievable, and Vectra often negotiates custom platform SKUs with blended pricing. Competitive pressure from Darktrace is the primary discount driver, the two vendors compete head-to-head in most large NDR evaluations.

Vectra AI Product & Module Pricing Benchmarks

Vectra AI Platform, Enterprise Pricing

2026 Negotiated Benchmarks

Product / Module

Best Achieved

NDR (per protected IP/yr)

$15 to $28

$10 to $17

$7 to $11

Physical sensor hardware

$40K to $80K

$28K to $55K

$20K to $40K

Vectra for AWS (annual)

$90K to $200K

$60K to $140K

$40K to $90K

Vectra for Microsoft 365 (user/yr)

$5 to $8

$3.25 to $5.25

$2.50 to $3.75

Vectra for Identity (user/yr)

$4 to $6

$2.75 to $4.00

$2.00 to $3.00

25 to 35%

20 to 28%

Vectra AI Discount Benchmarks: What Drives the Best Pricing

Vectra discount flexibility is structured around competitive displacement in the NDR market. The primary drivers are: a credible Darktrace or ExtraHop alternative on the table, multi-module commitment across NDR plus cloud plus M365 plus identity, protected IP volume tiers, and end-of-quarter timing (Vectra's fiscal year ends January 31, so calendar Q4 and fiscal Q4 are the same period with heavy discount flexibility).

The most effective competitive lever is a Darktrace proposal at equivalent scope. Darktrace and Vectra compete directly in enterprise NDR and are the two most frequently evaluated alternatives in large NDR RFPs. Vectra's commercial positioning emphasizes AI detection quality, specifically a claim that Vectra's behavior models require less tuning than Darktrace and produce higher signal-to-noise ratio. In negotiations, this positioning translates into aggressive pricing when Darktrace is the credible alternative. Procurement teams presenting a Darktrace quote with security team endorsement consistently achieve 35 to 45 percent discounts on Vectra.

ExtraHop RevealX is the secondary lever, particularly effective for on-premise-heavy deployments and organizations with strong encrypted traffic analysis requirements. ExtraHop's technical strength in decryption-less traffic analysis is a differentiator that Vectra responds to with pricing concessions when ExtraHop is on the table. Corelight is a third lever, positioned as the enterprise Zeek-based NDR, for organizations with mature internal security operations teams that prefer open-source-adjacent tools, Corelight is often a better technical fit, and the competitive reference drives meaningful Vectra discount movement.

For Microsoft 365 detection specifically, the critical competitive comparison is Microsoft Defender for Office 365 and Microsoft Defender for Cloud Apps, both included in M365 E5 bundles. Because these are effectively zero incremental cost for organizations already on E5, the economic argument is difficult to beat. Vectra for M365 differentiates on correlation with network detection signals (the value of seeing M365 anomalies in the context of network behavior) rather than on standalone capability. For organizations not already on E5 or with specific requirements for multi-surface correlation, Vectra for M365 makes sense, but the comparison drives significant pricing flexibility.

Vectra AI Pricing by Product Line

NDR economics are the core of any Vectra deal and the primary focus for negotiation. Per-IP pricing tiers typically break at 5K, 15K, 50K, and 100K+ protected IPs, with material discounts at each tier transition. Organizations near a tier break should negotiate to the next tier down, the incremental IPs are often free in the tier transition, and Vectra's sales team will grant the lower tier pricing to secure the broader commitment. Review your IP forecast carefully and include future cloud workload migration in the protected count estimate, retrofitting additional IPs at mid-contract pricing is typically more expensive than initial contract scope expansion.

Sensor hardware pricing is a secondary cost driver and often over-specified. Vectra's sales team will recommend physical sensor models sized for peak traffic plus growth buffer, frequently producing recommendations that are 2 to 3 sensors above actual operational need. Virtualized sensors running on customer infrastructure are a significantly lower hardware cost option; for organizations with flexible capacity, virtualized deployment saves $150K to $400K in initial hardware spend versus physical sensors. Challenge the sensor sizing recommendation and right-size based on actual peak traffic rather than peak-plus-100 percent buffer.

Cloud detection pricing is the highest-growth area of the Vectra portfolio and the most flexible on discount. Cloud detection economics at list are high relative to the underlying complexity, customers are paying Vectra for detection logic applied to AWS CloudTrail, Azure Activity Log, and GCP Audit Log data that is freely available to the customer. The commercial counter-argument is that Vectra does the detection engineering work, which has genuine value, but the pricing is aggressively negotiable. Discounts of 40 to 50 percent on cloud detection are consistently achievable when bundled with an NDR expansion or renewal.

MDR (Managed Detection and Response) is the fastest-growing service line and deserves separate evaluation rather than bundled acceptance. MDR uplift of 25 to 35 percent on underlying platform licensing is the effective negotiating range, the default proposal typically quotes 35 to 45 percent uplift. MDR should be evaluated against dedicated MDR providers (Arctic Wolf, Expel, Red Canary, Deepwatch) as competitive references; in many cases, a dedicated MDR provider using Vectra telemetry produces better operational outcomes than Vectra's in-house MDR at comparable or lower cost. If your in-house security operations team is mature, MDR may not be needed at all.

Common Vectra AI Contract Traps

Vectra NDR licenses by protected IP, and the definition expands as organizations onboard cloud workloads, containerized hosts, VDI sessions, and IoT devices that weren't in scope at contract signing. A deployment that starts at 10,000 protected IPs frequently grows to 15,000 to 20,000 within 18 months as scope expands organically. Overage billing applies at list rate. Define protected IP scope with explicit inclusion or exclusion of cloud workloads, containers, and IoT, and negotiate a 20 to 30 percent IP buffer above initial estimate.

Initial Vectra proposals often quote NDR, Vectra for AWS, Vectra for Azure, Vectra for M365, and Vectra for Identity as independent modules with separate pricing tiers. Stacking these at individual list pricing produces total contract value 25 to 40 percent above the equivalent Vectra AI Platform SKU that bundles them. Force Vectra to quote a consolidated Platform SKU with all required modules included, and compare line-by-line against stacked pricing.

Physical sensor recommendations from Vectra sales engineers typically include generous peak-traffic sizing plus 50 to 100 percent growth buffer, producing hardware recommendations that are 1 to 2 sensors above actual operational need. This inflates year-one cost by $75K to $300K. Challenge the sensor sizing, validate against actual peak traffic over the last 12 months, and consider virtualized sensors running on customer infrastructure for non-critical coverage where physical appliance capacity is over-specified.

MDR (Managed Detection and Response) is frequently attached to Vectra proposals at a 35 to 45 percent uplift on underlying platform licensing. For organizations with mature internal security operations, MDR is often unnecessary and represents 20 to 35 percent of total contract value that is being spent on a redundant capability. Evaluate MDR separately, compare against dedicated MDR providers (Arctic Wolf, Expel, Red Canary), and negotiate MDR uplift down to 25 percent or remove it from scope entirely if your internal SOC is capable.

Vectra AI Renewal Strategy

Vectra renewal negotiations follow a predictable pattern. Vectra arrives with a proposal showing 5 to 7 percent uplift on base licensing plus recommended expansions, cloud detection expansion if not currently licensed, M365 and identity coverage expansion, MDR attach upgrade. The security narrative, "attack surfaces are expanding, you need coverage beyond network", is accurate at a category level but the specific pricing of the expansions is the negotiating opportunity.

Effective renewal approach: benchmark current-state Vectra pricing against peer deployments of similar scope first, then negotiate the base NDR renewal at flat or 0 to 3 percent uplift using Darktrace or ExtraHop as competitive references. Address expansions as separate new-business conversations with proper evaluation of Microsoft Defender for Cloud Apps (for M365), native cloud-provider detection tools (GuardDuty, Defender for Cloud, Security Command Center), and dedicated MDR providers. The renewal-plus-expansion bundle at Vectra's default pricing typically produces 20 to 30 percent higher total-cost outcomes than negotiating the two separately.

For organizations already on Microsoft 365 E5, the Vectra for M365 renewal deserves particular scrutiny. Microsoft Defender for Office 365 and Defender for Cloud Apps, both included in E5, have narrowed the capability gap with Vectra for M365 significantly. Organizations using Vectra primarily for M365 detection should evaluate whether Microsoft's native tools provide sufficient coverage, particularly when the E5 incremental cost is zero. See our Darktrace pricing benchmark for the primary competitive reference, our CrowdStrike Falcon pricing benchmark for XDR overlap context, and our Palo Alto Networks pricing benchmark for Cortex XDR competitive positioning.

Vectra AI Pricing: FAQ

How much does Vectra AI cost for enterprises?

Enterprise annual contracts range from $150K for mid-market NDR deployments to $3M+ for Fortune 500 platform deals spanning NDR, cloud, M365, identity, and MDR. NDR pricing is driven by protected IP count at $8 to $22 per IP per year negotiated. Cloud detection modules run $50K to $200K annually. M365 and identity run $3 to $6 per user per year.

What discount can enterprises negotiate on Vectra AI?

Enterprise discounts range from 25 to 45 percent off list. New logos in competitive NDR evaluations (Darktrace, ExtraHop, Corelight) achieve 30 to 45 percent. Renewals with credible alternatives on the table achieve 25 to 35 percent. Multi-year commits add 5 to 10 percent. Vectra's fiscal year ends January 31, Q4 calendar / Q4 fiscal alignment produces the deepest discounts.

What is Vectra Attack Signal Intelligence?

Attack Signal Intelligence (ASI) is Vectra's AI-driven detection engine that powers the Vectra AI Platform. ASI correlates signals across network, cloud, SaaS, and identity to surface attacker behavior patterns. ASI is not separately licensed, it is the underlying capability that makes Vectra's NDR, cloud, M365, and identity modules work. The commercial differentiation is in scope coverage rather than ASI itself.

Vectra vs Darktrace vs ExtraHop: Pricing comparison?

Darktrace NDR runs $120K to $2.5M+ annually, 10 to 20 percent above Vectra for comparable scope. ExtraHop RevealX runs $150K to $2M+ annually, pricing similarly to Vectra for on-premise deployments with strong encrypted traffic capability. Corelight runs $100K to $1.5M annually as the enterprise Zeek-based option. In competitive situations, Vectra and Darktrace typically trade within a 10 to 15 percent pricing band.

What are the biggest traps in Vectra contracts?

Key traps: protected IP count expansion as cloud and containerized hosts come into scope; stacked module licensing (NDR, cloud, M365, identity as separate SKUs) versus consolidated Platform SKU; physical sensor oversizing that inflates hardware cost; and MDR attach at 35 to 45 percent uplift when internal SOC may be sufficient. Each trap requires specific contract language, define IP scope with buffer, force Platform SKU comparison, validate sensor sizing, and evaluate MDR separately.

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