Vectra AI and Microsoft Defender XDR compete in the cybersecurity solutions market. Microsoft Defender XDR appears to have the upper hand due to its seamless integration and comprehensive features.
Features: Vectra AI is known for its AI-driven threat detection, real-time threat hunting, and advanced analytics. Microsoft Defender XDR offers comprehensive security features, robust Microsoft ecosystem integration, and an all-in-one security approach.
Room for Improvement: Vectra AI should enhance its analytics reporting, improve customer support, and offer more flexible deployment options. Microsoft Defender XDR could focus on better third-party integrations, refining deployment flexibility, and enhancing customer service interactions.
Ease of Deployment and Customer Service: Vectra AI has a straightforward deployment process, though it needs to improve customer support. Microsoft Defender XDR benefits from a streamlined integration within Microsoft environments but would benefit from more flexible deployment options. Microsoft Defender XDR leads in integration, while Vectra AI requires a boost in support services.
Pricing and ROI: Vectra AI's setup costs are high but users recognize strong ROI through improved security measures. Microsoft Defender XDR offers better value for money with competitive pricing and significant long-term ROI due to its extensive feature set. Users find Microsoft Defender XDR's pricing strategy more cost-effective.
We can quarantine and isolate a device within minutes.
Microsoft Defender XDR has saved me at least 50% of my time.
Ever since we turned on the M5 feature set back in June, we have seen a reduced number of potentially malicious clicks and faster alerting when incidents occur.
You get stuck in low-level support for way longer than you should, instead of them escalating the issue up the chain.
It's critical to escalate SEV B issues immediately to a domestic engineer.
Once issues are escalated to the second or third layer, the support is much better.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
Microsoft Defender XDR shows tremendous scalability, much more so than on-premises solutions.
Microsoft Defender XDR scales pretty well.
It is suitable for enterprise-level deployment but has room for improvement.
The service has remained consistently online, with any issues isolated to specific components, suggesting a well-designed and modular architecture.
The services within our ecosystem have been reliable, meeting their SLAs.
It provides high-fidelity signals.
The licensing process needs improvement and clarification.
Improvements are needed in automated response capabilities.
Some inconsistencies exist between blades, which could be improved for a more seamless user and UI experience.
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.
There are certainly savings when using Microsoft Defender XDR, which can range from 30%, 40%, and even up to 50%.
I would rate the pricing as eight out of ten, indicating it is a reasonable cost for the product.
Microsoft purposefully obfuscates this through marketing ploys to hide costs.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
With Microsoft threat intelligence information, it detects various types of threats, including insider attacks, malicious content, and data exfiltration.
This allows us to secure our systems in advance and proactively improve security, rather than waiting for incidents to occur.
Once we have it on the security dashboard, we can see a real-time storyline.
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 (%) |
---|---|
Microsoft Defender XDR | 5.9% |
Vectra AI | 3.4% |
Other | 90.7% |
Company Size | Count |
---|---|
Small Business | 46 |
Midsize Enterprise | 23 |
Large Enterprise | 37 |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 10 |
Large Enterprise | 27 |
Microsoft Defender XDR is a comprehensive security solution designed to protect against threats in the Microsoft 365 environment.
It offers robust security measures, comprehensive threat detection capabilities, and an efficient incident response system. With seamless integration with other Microsoft products and a user-friendly interface, it simplifies security management tasks.
Users have found it effective in detecting and preventing various types of attacks, such as phishing attempts, malware infections, and data breaches.
Watch the Microsoft demo video here: Microsoft Defender XDR demo video.
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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