Vectra AI and Check Point Infinity compete in the cybersecurity space, focusing on threat detection and network security. Vectra AI holds an edge in network threat detection by enriching context for incidents, though Check Point Infinity offers a more comprehensive architecture covering various security infrastructure aspects.
Features: Vectra AI integrates multiple alerts into actionable incidents, enhances threat detection across network metadata, and provides enriched context beyond SIEM capabilities. Check Point Infinity offers a unified security infrastructure, covering endpoints, cloud environments, and mobile devices, and provides granular policy enforcement with identity awareness.
Room for Improvement: Vectra AI lacks depth in host-level detail and requires further integration with SIEMs for comprehensive visibility, with ongoing cloud integration development. Check Point Infinity faces challenges with high pricing, complex licensing, and slow technical support for newer cloud features. Both systems could benefit from better integration with third-party tools and enhanced documentation.
Ease of Deployment and Customer Service: Vectra AI focuses on on-premises deployment with hybrid cloud options and is praised for responsive technical support. Its deployment process is smooth due to personalized support. Check Point Infinity provides versatile deployment options, supporting public and hybrid cloud models, though its support could improve in responsiveness for better operational experiences.
Pricing and ROI: Vectra AI's pricing is considered expensive with a complex licensing model based on IPs and environment size, affecting smaller organizations. Despite this, it offers significant ROI through a better security posture and reduced response times. Check Point Infinity also features high costs and complicated licensing, with additional licenses often needed for full functionality, making it more suitable for larger enterprises that can leverage the enhanced security operations for justified expenses.
I would say we can save about 90% of our budget with Check Point Infinity.
The value is in the capacity to protect against problems or attacks with technology, developing and strengthening cybersecurity policies and administration.
I would rate technical support from Check Point a perfect score because when I call them, they answer before I could breathe.
As soon as we raise a ticket, they engage promptly, indicating strong vendor support.
The technical support is excellent with quick response times.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
Check Point Infinity is scalable because Check Point has a deployment ecosystem with technical support and the quality of the final information from these tools.
Check Point Infinity is a very stable solution; I don't remember experiencing any downtime.
I would recommend having more comprehensive documentation, including a guide for installation and configuration of Check Point Infinity.
I would improve Check Point Infinity by embedding some sort of analytics that indicates which attacks are coming from specific IP addresses very often so that we can block those IP addresses.
The page, papers, and other documentation are more textual, and I don't have any steps with graphics or pictures.
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.
In terms of pricing, I find Check Point Infinity to be an expensive product.
The pricing is good as Check Point Infinity includes many tools and details that others might not have.
The product, as supported by Check Point, offers invaluable assistance for ease of deployment.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
Check Point uses robust AI software to detect and recognize all cyber-attacks, giving me the ability to prevent these attacks.
If we cannot keep our data secret, all our customers will be lost.
It is more efficient because the portal is very intuitive.
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% |
Check Point Infinity | 0.6% |
Other | 88.7% |
Company Size | Count |
---|---|
Small Business | 29 |
Midsize Enterprise | 8 |
Large Enterprise | 10 |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 10 |
Large Enterprise | 27 |
Check Point Infinity is the only fully consolidated cyber security architecture that provides unprecedented protection against Gen V mega-cyber attacks as well as future cyber threats across all networks, endpoint, cloud and mobile. The architecture is designed to resolve the complexities of growing connectivity and inefficient security. Learn more about Check Point Infinity
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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