Vectra AI and SentinelOne Singularity Complete are competitive solutions in the cybersecurity realm. While Vectra AI excels in support and pricing, SentinelOne's comprehensive feature set makes it a worthy choice, offering substantial investment returns for users.
Features: Vectra AI is noted for advanced anomaly detection, seamless integration with existing systems, and its AI-driven insights. SentinelOne offers comprehensive threat intelligence, autonomous response capabilities, and a wide range of security features that help it stand out in the market.
Room for Improvement: Vectra AI has room to enhance scalability, introduce more customization options, and streamline the user interface. SentinelOne could work on improving alert management, reducing system resource usage, and enhancing its reporting functionalities.
Ease of Deployment and Customer Service: Vectra AI is praised for straightforward deployment and responsive support, making it an attractive option for those seeking strong service engagement. SentinelOne provides quick installation but could improve customer service responsiveness to better meet user needs.
Pricing and ROI: Vectra AI is perceived as cost-effective, offering a steady ROI for users. SentinelOne, while having a higher initial setup cost, offers a substantial long-term ROI due to its robust features, with users willing to pay a premium for its extended capabilities.
Since then, I have not faced any intrusions, which is one reason I chose SentinelOne over ESET.
We have not faced any attacks since we implemented it.
It has absolutely helped reduce our organizational risk.
They do a great job of figuring out the problem and pointing you to generic documentation or working with you to fine-tune a solution.
We are using the automated email process for support, and they respond within an hour or two hours sometimes.
A chat service would be beneficial.
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's all auto-scale and auto-categorized, configuring automatically.
The tool's built-in automation for deploying the agents works well for large infrastructures like mine.
My deployment is relatively small, and SentinelOne Singularity Complete works within those constraints.
It has caused problems with interoperability between third-party tools, which could lead to entire servers crashing or specific tools failing.
This indicates room for improvement in stability when interacting with other solutions.
Initially, there were issues, particularly on the management side, but now the console is much more stable.
The only thing that prevented the attack from succeeding was a free version of Malwarebytes.
Providing a single pane of visibility for the end user would be beneficial.
It's challenging to prevent a user from manipulating their privileges or someone else's of others, and it's difficult to control what users can access at the organizational level.
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.
If you want protection, you have to pay the price.
There are other products that are less expensive, but I tell my clients that in security, they cannot cut corners or look for the cheapest solution.
Reputation and quality are important, but especially in today’s economy, price is a significant factor.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
I have an advanced app providing visibility of all my endpoints, which was not the case before.
SentinelOne has a feature to decommission automatically, which has been fantastic.
There's also automation that gives my team free time, preventing them from having to look for every alert.
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 (%) |
---|---|
SentinelOne Singularity Complete | 6.2% |
Vectra AI | 3.4% |
Other | 90.4% |
Company Size | Count |
---|---|
Small Business | 82 |
Midsize Enterprise | 45 |
Large Enterprise | 75 |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 10 |
Large Enterprise | 27 |
SentinelOne Singularity Complete provides AI-driven threat detection and response with features like ransomware protection and rollback, offering endpoint protection with minimal system impact and deep forensic analysis.
SentinelOne Singularity Complete combines machine learning and artificial intelligence to offer robust endpoint protection. It delivers real-time insights and advanced threat detection through seamless integration with third-party tools, allowing for efficient endpoint management. With an emphasis on user-friendliness, it ensures reduced false positives. Room for improvement includes better integration options, enhanced reporting, and more precise analytics to tackle false positives. Users seek improved interoperability with systems and comprehensive support for legacy systems.
What are the key features of SentinelOne Singularity Complete?Organizations from industries like finance, healthcare, and technology deploy SentinelOne Singularity Complete to safeguard endpoints such as PCs, servers, and virtual machines. Equipped with EDR, it effectively replaces traditional antivirus systems and integrates with cloud technology for real-time security insights.
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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