

Find out what your peers are saying about Broadcom, Illumio, Akamai and others in Microsegmentation Software.
I have not seen a return on investment in terms of specific metrics like time saved or reduced risk, but I can say that reduced risk is significant.
Workload reduction on the SOC side is now 100% lighter than previously.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
Customer support receives a rating of nine out of ten due to being very supportive and responding quite efficiently.
It scales very well, and I can keep adding agents and scale as much as needed.
Vectra AI is scalable because it can work through different kinds of solutions and is compatible with all kinds of cloud solutions.
I think it is really valuable to take a course on Akamai Guardicore Segmentation because many things are not obvious in terms of how to do them correctly.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
A native CMDB-like feature and risk scoring would be a big advantage.
All threats, including hacking attempts, should be comprehensively addressed.
The pricing was flexible, and it has worked out well with our budget.
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 best features Akamai Guardicore Segmentation offers make it simple to see all of the connections that are being made to each of the endpoints, and they can be controlled by process and port.
We now experience only two to three hours of downtime, whereas without Vectra AI and other tools, our downtime would exceed 48 to 72 hours.
Attack Signal Intelligence helped reduce irrelevant alerts by 80% to 90%, with metrics showing a 100-plus reduction in investigation workloads and roughly saving about 55,000 hours of investigation time.
There are extensive out-of-box detection capabilities.
| Product | Market Share (%) |
|---|---|
| Akamai Guardicore Segmentation | 24.8% |
| Illumio | 27.5% |
| VMware NSX | 15.5% |
| Other | 32.2% |
| Product | Market Share (%) |
|---|---|
| Vectra AI | 7.6% |
| Fortinet FortiGate | 13.9% |
| Darktrace | 12.2% |
| Other | 66.3% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 10 |
| Large Enterprise | 29 |
Akamai Guardicore Segmentation is a software-based microsegmentation solution that provides the simplest, fastest, and most intuitive way to enforce Zero Trust principles. It enables you to prevent malicious lateral movement in your network through precise segmentation policies, visuals of activity within your IT environment, and network security alerts. Akamai Guardicore Segmentation works across your data centers, multicloud environments, and endpoints. It is faster to deploy than infrastructure segmentation approaches and provides you with unparalleled visibility and control of your network.
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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