

Vectra AI and Microsoft Sentinel compete in the network security category. Based on user feedback, each product has its strengths, but Vectra AI seems to have the upper hand in areas like detailed metadata enrichment and threat detection capabilities, while Microsoft Sentinel's robust automation and integration with Microsoft products are significant advantages.
Features: Vectra AI offers comprehensive network visibility, an efficient roll-up alert system to prioritize incident management, and detailed metadata enrichment supported by AI and machine learning. It excels in reducing alert fatigue and enhancing threat detection. Microsoft Sentinel integrates seamlessly with Microsoft products, leveraging scalable cloud-native capabilities, automation rules, and numerous data connectors, enhancing its utility as a holistic security solution.
Room for Improvement: Vectra AI needs better third-party tool integration, packet management improvements, and enhanced reporting features. Users desire more granular configuration options and consistent handling of IP address changes. Microsoft Sentinel faces challenges with data ingestion costs, complexity of KQL queries for non-experts, and limited on-premise support. Users seek more built-in automation and clearer pricing.
Ease of Deployment and Customer Service: Vectra AI is generally deployed in on-premises and hybrid settings, praised for its responsive and personal technical support, increasing customer satisfaction despite scalability concerns. Microsoft Sentinel, being cloud-based, benefits from Microsoft's robust infrastructure and scalability, though users desire better documentation and onboarding support for hybrid systems.
Pricing and ROI: Vectra AI's pricing model is based on IP address counts and additional features like Cognito Recall, often seen as high initially but justified by long-term ROI through risk reduction and efficiency gains. Microsoft Sentinel uses a consumption-based model tied to data volume, regarded as costly, particularly for non-Microsoft data sources, but valued for cost-effectiveness within the Microsoft ecosystem, offering competitive ROI with extensive features and integrations.
If a customer is already using Microsoft’s ecosystem, the ROI can be positive due to seamless integration.
Our MTTR, mean time to response, improved by forty to fifty percent. Earlier, medium-severity incidents took two to three hours to resolve. Now, after Microsoft Sentinel, it is forty to fifty-five minutes.
We attribute our growth to Sentinel.
The payback period is roughly six months.
Their solutions' integration simplifies resolving issues compared to those caused by third-party products.
Microsoft invests significantly in support, which is crucial for companies.
Working with a Sentinel engineer helped us tune settings effectively.
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.
Office 365 and Exchange are running on it, covering about 35,000 users efficiently.
There is no need to add hardware or redesign infrastructure because it is cloud-native.
As our organization uses Microsoft Azure and Defender, everything grows together, and we can integrate various features seamlessly.
Vectra AI is scalable because it can work through different kinds of solutions and is compatible with all kinds of cloud solutions.
So far, we have not experienced any issues, and it has been stable from the beginning.
In the past two years, our team hasn't encountered any issues with the stability of Microsoft Sentinel from an operations perspective.
I need to be aware of deprecated connectors as they may disconnect, but the data continues to be sent with a need for quick adaptation.
Log ingestion and retention costs can grow quickly, and understanding which data source is driving cost is not always straightforward.
We have some tools, such as our off-site Meraki firewalls, that have not fully integrated with Sentinel.
Currently, we are happy to have a way in the middle with not so much cost, but it would be nice to have the ability to enhance the automation of workflows based on learned incidents.
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.
All threats, including hacking attempts, should be comprehensively addressed.
It has been beneficial that Microsoft Sentinel is included as part of the Microsoft package, making it more cost-effective.
Microsoft Sentinel is not a low-cost SIEM.
Microsoft Sentinel offers more capabilities than Bastion, with a more intuitive experience.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
Microsoft Sentinel's ability to correlate data from multiple sources and its detection capabilities are essential.
Microsoft Sentinel has improved cost efficiency, which is one of the key areas we're able to win business against the ability to have threat intelligence.
Microsoft Sentinel's ability to correlate data from multiple sources enhances our threat detection capabilities beyond what is a simple data lake solution by filtering out the noise and consolidating the signal down to a meaningful level that is easier to investigate and see.
Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats.
Alert noise was dramatically reduced by nearly 80%, allowing SOC analysts to focus more on true threats, which made them more productive and resulted in higher operational efficiency.
There are extensive out-of-box detection capabilities.
| Product | Market Share (%) |
|---|---|
| Microsoft Sentinel | 10.8% |
| Vectra AI | 9.8% |
| Other | 79.4% |

| Company Size | Count |
|---|---|
| Small Business | 38 |
| Midsize Enterprise | 22 |
| Large Enterprise | 45 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 10 |
| Large Enterprise | 29 |
Microsoft Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution that lets you see and stop threats before they cause harm. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Eliminate security infrastructure setup and maintenance, and elastically scale to meet your security needs—while reducing IT costs. With Microsoft Sentinel, you can:
- Collect data at cloud scale—across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds
- Detect previously uncovered threats and minimize false positives using analytics and unparalleled threat intelligence from Microsoft
- Investigate threats with AI and hunt suspicious activities at scale, tapping into decades of cybersecurity work at Microsoft
- Respond to incidents rapidly with built-in orchestration and automation of common tasks
To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.
Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.
Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.
What are Vectra AI's key features?Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.
We monitor all AI-Powered Cybersecurity Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.