Vectra AI and Elastic Security compete in the advanced cybersecurity solutions category, offering unique features and advantages. Vectra AI has the upper hand in threat detection and response due to its comprehensive features, whereas Elastic Security is favored for its wide range of integrations and adaptability.
Features: Vectra AI includes advanced threat detection, insider threat identification, and lateral movement monitoring. Elastic Security offers extensive integration options, data analysis flexibility, and high scalability.
Room for Improvement: Vectra AI could enhance analytics reporting, integration capabilities, and data interface flexibility. Elastic Security users suggest a less steep learning curve, easier configuration, and better documentation.
Ease of Deployment and Customer Service: Vectra AI is noted for straightforward deployment and responsive customer service. Elastic Security's extensive integrations make deployment challenging but efficient after setup, with customer support being attentive yet sometimes slower compared to Vectra AI.
Pricing and ROI: Vectra AI's pricing aligns with its specialized features, providing justified costs. Elastic Security offers competitive pricing attractive for organizations seeking a versatile platform, with a longer ROI period due to initial setup and training requirements.
It does not require hefty security budgets and can be deployed for enterprise security effectively.
Most of the time when my team encounters issues, they receive responses within 24 hours.
Support is prompt and helpful.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
It allows us to think about specific use cases, such as gathering malicious IPs in a single view and analyzing threats based on geolocation.
In terms of stability, I would rate Elastic a solid eight out of ten.
CrowdStrike and Defender have more established threat intelligence integration due to having a larger client base.
My security testing team continuously reports vulnerabilities, and we have to fix and update the versions frequently.
Elastic Security consumes a lot of resources, requiring a substantial deployment setup.
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.
This is beneficial for SMEs as they do not need extensive budgets for security solutions.
The pricing is reasonable, especially for Small Medium Enterprises (SMEs), making it a viable option for businesses building their security infrastructure.
Elastic Security is considered cost-effective, especially at lower EPS levels.
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 platform provides more visibility and requires less effort in monitoring.
Elastic Security is as flexible and configurable as Microsoft Sentinel.
We require rapid processing speed for alerts and event data, and Elastic Security is very efficient at handling this level of data.
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.
There are extensive out-of-box detection capabilities.
| Product | Market Share (%) |
|---|---|
| Elastic Security | 4.8% |
| Vectra AI | 3.4% |
| Other | 91.8% |
| Company Size | Count |
|---|---|
| Small Business | 40 |
| Midsize Enterprise | 11 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 10 |
| Large Enterprise | 27 |
Elastic Security combines the features of a security information and event management (SIEM) system with endpoint protection, allowing organizations to detect, investigate, and respond to threats in real time. This unified approach helps reduce complexity and improve the efficiency of security operations.
Additional offerings and benefits:
Finally, Elastic Security benefits from a global community of users who contribute to its threat intelligence, helping to enhance its detection capabilities. This collaborative approach ensures that the solution remains on the cutting edge of cybersecurity, with up-to-date information on the latest threats and vulnerabilities.
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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