Vectra AI and Trend Micro Deep Discovery compete in the cybersecurity realm, focusing on threat detection and incident response. Vectra AI demonstrates superior threat prioritization, while Deep Discovery excels in advanced threat identification through sandboxing.
Features: Vectra AI focuses on reducing alert noise by consolidating alerts into single incidents, offering detailed visibility into network activities, and utilizing AI and machine learning to detect abnormal behaviors. Trend Micro Deep Discovery is known for its advanced persistent threat detection via custom sandboxing, integration capabilities, and detailed reporting features providing comprehensive security coverage.
Room for Improvement: Vectra AI needs to improve its integration with broader cybersecurity ecosystems and enhance host-based visibility. It faces challenges in network data integration and automation of incident responses. Trend Micro Deep Discovery, while effective, is hindered by high costs and scalability issues, with users seeking better integration with third-party tools and more diverse licensing structures.
Ease of Deployment and Customer Service: Vectra AI supports flexible deployment across on-premises and hybrid cloud environments and is praised for responsive and supportive customer service. Users value the quick technical support and proactive engagement. Similarly, Trend Micro Deep Discovery offers on-premises and hybrid cloud deployment options, with efficient and technically acute support, although greater infrastructure integration is desired.
Pricing and ROI: Vectra AI is perceived as expensive with costs driven by IP addresses and log volumes. Despite the high price, users find value in its threat detection and response capabilities, achieving ROI through reduced response times and enhanced security operations efficiency. Trend Micro Deep Discovery is also considered a premium-priced solution, justified by its comprehensive threat detection features. Costs vary based on client needs with ROI tied to effective prevention of costly security incidents.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
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.
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 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.
| Product | Market Share (%) |
|---|---|
| Vectra AI | 10.6% |
| Trend Micro Deep Discovery | 5.0% |
| Other | 84.4% |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 6 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 10 |
| Large Enterprise | 27 |
Trend Micro Deep Discovery is used for network security, intrusion detection, and threat protection, including malware and phishing prevention, with a focus on on-premises deployment to maintain regulatory compliance.
This powerful tool provides comprehensive scanning and analysis of traffic, emails, and files, and offers sandboxing, zero-day vulnerability protection, and endpoint protection. Companies utilize its capabilities for server protection, virtual environment scanning, ransomware identification, and virtual patching. It also assists in managing Windows updates without frequent reboots while offering role-based access controls. Trend Micro Deep Discovery is known for fast threat analysis, advanced persistent threat monitoring, and detailed reporting and is valued for its performance and light system footprint.
What are the key features of Trend Micro Deep Discovery?Industries implement Trend Micro Deep Discovery for comprehensive threat protection and regulatory compliance. It is widely used in sectors requiring high-security measures like finance, healthcare, and government agencies. Specific implementations include server and endpoint protection, advanced persistent threat monitoring, and ensuring data privacy. Enhanced sandboxing features and integration capabilities make it a preferred choice for complex IT environments looking for reliable and scalable security solutions.
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.
We monitor all Intrusion Detection and Prevention Software (IDPS) 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.
