In the competitive security software category, Vectra AI and Exabeam vie for top positioning. Both have strong capabilities, though Vectra AI stands out for its alert reduction and host detection, while Exabeam is notable for its advanced timeline creation and integration.
Features: Vectra AI enhances threat prioritization through AI and machine learning, reducing alert fatigue and offering insight into the full attack lifecycle. Its risk score aggregation helps focus resources. Exabeam features machine learning and behavioral analytics, excelling in complex threat detection and workflow automation. Vectra AI's standout alert reduction and host detection, complemented by Exabeam's superior timeline creation and cloud service integration, highlight their key strengths.
Room for Improvement: Vectra AI could benefit from improved integrations and detection rule flexibility and needs to address false positive reduction. Issues with licensing models and feature costs are noted. Exabeam is encouraged to improve dashboard customization and adaptive rule features, alongside better API interactions. Both could streamline integrations and minimize false positives for enhanced user satisfaction.
Ease of Deployment and Customer Service: Vectra AI supports diverse deployment modes (on-premises, hybrid, public cloud) and is praised for its responsive customer support. Exabeam offers similar deployment options, with specific attention required in API performance. Vectra AI is noted for exceptional customer interaction and recognizing user feature enhancement requests. Both are well-regarded for technical support, but Vectra AI stands out for proactive customer service.
Pricing and ROI: Vectra AI is associated with higher pricing, yet its comprehensive features may justify the cost for larger organizations. Its complex licensing model suggests a need for simplification. Exabeam offers a more affordable and flexible pricing structure, appealing to budget-conscious organizations. Both deliver efficiency improvements, with Vectra AI noted for its security workload impact, while Exabeam provides more accessible pricing options.
Exabeam offers more machine learning models that detect anomalies.
Even with TAM support from Exabeam, many issues go unresolved.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
These problems were not frequent, and the last six to eight months have been stable.
I have explored the SaaS version; it offers many new features.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
The product offers useful features like the dashboard, timeline, and session views, which enhance our security tools.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
There are extensive out-of-box detection capabilities.
The main feature of Vectra AI that I find valuable is its focus on the user interface and its approximately two hundred algorithms based on artificial intelligence and machine learning.
| Product | Market Share (%) |
|---|---|
| Vectra AI | 10.7% |
| Exabeam | 2.9% |
| Other | 86.4% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 10 |
| Large Enterprise | 27 |
Exabeam Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
Vectra AI enhances security operations by pinpointing attack locations, correlating alerts, and providing in-depth visibility across attack lifecycles, ultimately prioritizing threats and improving incident responses.
Vectra AI integrates AI and machine learning to detect anomalies early and supports proactive threat response. Its features like risk scoring, alert correlation, and streamlined SOC efficiency are supplemented by integration with tools like Office 365. Users highlight integration, reporting, and customization challenges, alongside limitations in syslog data and false positive management. They seek enhancements in visualization, UI, TCP replay, endpoint visibility, and tool orchestration, with requests for improved documentation, licensing, and cloud processing innovation.
What are the key features of Vectra AI?In industries like finance, healthcare, and critical infrastructure, Vectra AI is crucial for threat detection and network monitoring. Entities use it for identifying anomalous behaviors and enhancing cybersecurity by responding to network activities and analyzing traffic for potential breaches. It operates on-premises and in hybrid cloud settings, enabling threat detection without endpoint agents and supporting compliance and policy enforcement.
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