Sold by: Vectra AI
Vectra Match - Network, IoT, and OT Signatures
4.3
Overview
Vectra Match extends Vectra Network Detection and Response (NDR) with signature-based network threat detection powered by the open-source Suricata IDS engine. It runs on existing Vectra Sensors and analyzes the same network traffic used by Vectra's AI-driven behavioral detections, allowing security teams to identify known threat patterns and suspicious attacker behavior through a consolidated sensor and workflow.
Vectra Match supports the Vectra-curated Proofpoint Emerging Threats Pro ruleset, as well as customer-developed and third-party Suricata rules. Security teams can upload, assign, tune, enable, disable, suppress, and apply thresholds to rules through the Vectra interface or APIs.
When monitored traffic matches a rule, Vectra Match generates Suricata-based match metadata that can be sent to SIEM, data lake, and security analytics platforms through Vectra Stream and, for supported deployment types, syslog or Kafka
Highlights
- Integrated IDS for Vectra NDR
Details
New
Introducing multi-product solutions
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Features and programs
Trust Center
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Match_IP_Count | Match IP Count : Number of Match IP Addresses | $7.93 |
Dimensions summary
Vectra Match uses one usage-based pricing dimension. You pay by the number of Match IP addresses monitored, counted in units. Your cost scales directly with how many IP addresses you cover. There are no tiers or separate instance sizes to choose between. As your monitored IP count grows or shrinks, your billing tracks that count. This keeps pricing tied to the size of the environment you protect rather than fixed packages.
Top-of-mind questions for buyers
A Match IP address is an internal IP the product monitors. Vectra determines internal addresses from the HOME_NET setting, built from your Internal IP Address (CIDR) ranges. Excluded subnets and detected southside proxy IPs are removed from that set, so those addresses fall outside the counted total.
No. Billing tracks only the Match IP address count. You can upload up to 25 rulesets per Brain and assign them across sensors without changing your cost. The curated ruleset is included as a standard part of Match licensing. Ruleset volume and sensor count do not drive charges.
Your cost tracks the number of Match IP addresses monitored. When you expand internal subnet ranges, the counted IPs rise and billing follows. When you exclude subnets or reduce coverage, the count drops. There are no tiers, so each change adjusts cost in proportion to the IP count.
docs.vectra.ai
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
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Support
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Customer reviews
Manufacturing
Vectra AI: Fast, Insightful Threat Detection with Strong M365 and Azure AD Integration
Reviewed on Apr 02, 2026
Review provided by G2
What do you like best about the product?
Vectra AI was a valuable addition to our cybersecurity tools. It helps us protect our assets and the company network from modern attacks.
Our security analysts use Vectra AI to go through detections of anomalies in our environment. Easily integrated with M365 and Azure AD.
We were able to quickly identify and prevent data leakage by investigating a suspicious M365 mail forwarding detection by Vectra AI. Other M365 detections we observed included risky Exchange Operations, Phishing simulation configuration change, Suspect eDiscovery Usage, Malicious links sent by external Teams user, and many more.
Detections that helped our SOC team prevent a major cyber incident was Azure AD Admin account creation, Login attempts from a disabled account, Azure AD TOR activity, Azure AD Suspicious device registration, among others.
A great feature is the AI intelligence as well as the Vectra AI Post-Quantum Cryptography Readiness dashboard. Quantum computing threatens today's public-key cryptography, putting SSH and TLS key exchanges at risk of future decryption. This Vectra AI dashboard highlights hosts and daily SSH connections still relying on non-PQC key exchange, helping us identify exposure and prioritize migration to quantum-resistant algorithms.
The interface loads fast and offers clear visualization allowing our SOC analysts to explore our environment to uncover emerging threats.
When assistance was needed, we received fast and professional support from the vendor.
Cost may be a limitation for some, however, for us being a large company with permissive budget, it was a good investment for the value it brought.
Our security analysts use Vectra AI to go through detections of anomalies in our environment. Easily integrated with M365 and Azure AD.
We were able to quickly identify and prevent data leakage by investigating a suspicious M365 mail forwarding detection by Vectra AI. Other M365 detections we observed included risky Exchange Operations, Phishing simulation configuration change, Suspect eDiscovery Usage, Malicious links sent by external Teams user, and many more.
Detections that helped our SOC team prevent a major cyber incident was Azure AD Admin account creation, Login attempts from a disabled account, Azure AD TOR activity, Azure AD Suspicious device registration, among others.
A great feature is the AI intelligence as well as the Vectra AI Post-Quantum Cryptography Readiness dashboard. Quantum computing threatens today's public-key cryptography, putting SSH and TLS key exchanges at risk of future decryption. This Vectra AI dashboard highlights hosts and daily SSH connections still relying on non-PQC key exchange, helping us identify exposure and prioritize migration to quantum-resistant algorithms.
The interface loads fast and offers clear visualization allowing our SOC analysts to explore our environment to uncover emerging threats.
When assistance was needed, we received fast and professional support from the vendor.
Cost may be a limitation for some, however, for us being a large company with permissive budget, it was a good investment for the value it brought.
What do you dislike about the product?
Initial setup required some reading and calls to support. Cost may be a limitation for some.
What problems is the product solving and how is that benefiting you?
Vectra AI helps us protect our assets and the company network from modern attacks. It is a very powerful solution that offers large amount of data neatly presented through very intuitive and modern interface.
Higher Education
Easy to Learn, Clear, and Truly Helpfulclear use of product
Reviewed on Feb 19, 2026
Review provided by G2
What do you like best about the product?
easy to work with and clear method of learning to use
What do you dislike about the product?
i have zero problems with it and find it quite helpful
What problems is the product solving and how is that benefiting you?
it is helping us to do better threat hunting and know things before they become problems
Paul D.
Team Manager, Enterprise Information Security
Reviewed on Sep 17, 2020
Review provided by G2
What do you like best about the product?
Ease of deployment, intuitive UI, and easy to work with sales and support staff.
What do you dislike about the product?
Reporting is lacking, currently only one report available with different timelines, also no ability to export from the console.
What problems is the product solving and how is that benefiting you?
Visibility of network traffic, analysis of network traffic, and baselining.
Joel V.
Easy to deploy and works great at finding evil.
Reviewed on Sep 11, 2020
Review provided by G2
What do you like best about the product?
Vectra finds what other controls miss. It is used to help with network visibility and integrates great with Splunk. We have passed every pen test since Vectra was deployed. The company has really listened to the customers and made big improvements over the last three years.
What do you dislike about the product?
It can get expensive if you have a lot of offices. The appliances are not cheap so if you have a bunch of smaller offices it can start to add up.
What problems is the product solving and how is that benefiting you?
Network visibility in east-west traffic is our primary use. Because we ingest the data in Splunk it is also used to evaluate incidents and help make decisions on incident prioritization.
Recommendations to others considering the product:
Vectra helps IR teams with prioritizing events. It can take some time to get everything reporting correctly so use the Vectra resources to help create the rules and whitelisting events is recommended.
Information Technology and Services
Unbeaten speed of innovation
Reviewed on Aug 27, 2020
Review provided by G2
What do you like best about the product?
Vectra does what it says on the tin, but goes beyond in providing a constant speed of innovation that means they are constantly releasing new features and detections, helping us to keep up to speed with any threats on our network.
What do you dislike about the product?
As with any security tool, the alerts! But thankfully by monitoring the quadrant-based approach serious issues boil up for quick investigation.
What problems is the product solving and how is that benefiting you?
East-west visibility and identification of dark/unknown IT