Vectra AI and Microsoft Defender for Identity compete in the cybersecurity category, specifically in threat detection and response. Of the two, Vectra AI appears to have the upper hand in reducing alert fatigue by effectively correlating and streamlining multiple alerts into single actionable incidents.
Features: Vectra AI stands out with its advanced AI-driven threat analysis, the ability to correlate alerts, and features like Cognito Recall that offer broader data analysis and complete network visibility, including east-west traffic. Vectra AI excels at reducing false positives and correlating threats with compromised hosts. Microsoft Defender for Identity, on the other hand, integrates seamlessly with the Microsoft ecosystem using machine learning to monitor account activities, offering near real-time threat detection and analytics. It also facilitates strong identity protection through its integration with platforms like Azure AD.
Room for Improvement: Vectra AI could enhance its integration with SIEMs, improve host activity visibility, and streamline its architectural design for increased user flexibility. Simplifying data correlation and reducing false positives further are also areas to work on. Microsoft Defender for Identity could offer more granular data insights, better handle anomalies, and deepen on-premises environment integration. Improving threat detection detail and anomaly correlation would also benefit its users.
Ease of Deployment and Customer Service: Vectra AI offers diverse deployment options, including on-premises, hybrid, and public cloud environments, providing clients with flexibility albeit requiring robust infrastructure. Users praise its responsive customer support. Microsoft Defender for Identity is natively designed for Public and Hybrid Cloud deployment and integrates well within its ecosystem, though its support can lack a personal touch due to Microsoft's large scale and broad service scope.
Pricing and ROI: Vectra AI is on the higher pricing tier, justified by its extensive feature set, though its complex licensing might deter budget-conscious buyers. Its ROI is notable through reduced response times and improved security posture. Microsoft Defender for Identity, included within the Microsoft 365 suite, offers a cost-effective approach, driving substantial ROI through comprehensive security coverage and integration benefits, making it highly affordable for existing Microsoft users.
The quality of support is very good, but troubleshooting can take time due to complex setups and the need to provide many logs.
Generally, the support is more effective than other providers like Oracle.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
In a Microsoft-centric organization, especially with Azure infrastructure and Office 365, Microsoft Defender for Identity is scalable.
Microsoft Defender for Identity is quite robust and built on Azure hyperscale infrastructure, with a 99% availability.
We do not see any issues with the stability of Microsoft Defender for Identity.
Having recently started using it, reliability is affirmed, but manual investigation is often performed to verify if alerts identified by auto-remediation are accurate.
If Microsoft could develop a feature that indicates when impossible travel is caused by VPN connections, it would prevent unnecessary password resets and session disruptions, especially for VIP users in organizations.
One improvement I would recommend is the integration of an admin application within Teams, allowing easy access to attack information on a mobile platform.
Reducing false positives is something we've been working on with Microsoft.
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 they can reduce the costs, organizations will be happy, and it will compensate for using the Azure environment, which is more expensive on the infrastructure as a service side.
From an organization perspective, using E5 licenses is value for money, especially if Azure and Office 365 are already in use.
Ensuring a fair price according to market standards.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
We receive an advance report of risky users, allowing us to take preemptive action before an attack causes damage to organization details.
The most valuable feature is its hybrid artificial intelligence, which gathers forensic data to track and counteract security threats, much like the CSI series in effect.
Based on the detection of incidents, we can prevent issues, and if there are any identity-related alerts, they are prevented through a conditional access policy.
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.
There are extensive out-of-box detection capabilities.
Microsoft Defender for Identity integrates with Microsoft tools to monitor user activity, providing advanced threat detection and analysis using AI. It enhances proactive threat response and security visibility, making it essential for securing on-premises and cloud environments like Active Directory.
Microsoft Defender for Identity offers comprehensive monitoring and AI-driven user behavior analysis. It detects threats through real-time alerts and identifies lateral movements and entity tagging, ensuring robust security management. With excellent visibility via its dashboard, it supports customized detection rules and seamlessly integrates with SIEM platforms. While SecureScore and SecureScan provide robust environment security, there is room for improvement in cloud security, on-premises application integration, and remediation capabilities. Azure integration is limited, and the administrative interface could be more user-friendly. Users experience frequent false positives, affecting threat detection efficiency.
What key features stand out in Microsoft Defender for Identity?In specific industries such as education and finance, Microsoft Defender for Identity is crucial for securing on-premises Active Directory and Azure Active Directory environments. It effectively detects suspicious activities and manages conditional access policies, offering user and entity behavior analytics, endpoint detection and response capabilities. This helps prevent unauthorized access and strengthens overall security, making it an invaluable asset for organizations aiming to safeguard their digital infrastructure.
Vectra AI is used for detecting network anomalies and potential malicious activities, providing visibility into network traffic and enhancing threat detection across environments.
Organizations deploy Vectra AI mainly on-premises with additional cloud components. It helps with compliance, incident response, security monitoring, detecting insider threats, and correlating network events. Vectra AI captures and enriches network metadata, provides detailed dashboards, reduces false positives, and supports cross-environment behavioral analysis to enhance threat detection and prioritization. While valued for its high accuracy and alert aggregation, it has room for improvement in UI/UX, packet management, and integration with SIEMs and other tools. It is noted for expensive pricing and limited proactive threat response features.
What are Vectra AI's most valuable features?In specific industries, Vectra AI is deployed to monitor complex networks and alleviate challenges in threat detection. It is particularly effective in sectors requiring stringent compliance and security measures, offering insights and capabilities crucial for protecting sensitive data and maintaining operational integrity.
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