Corelight vs Vectra AI comparison

Vectra AI and Corelight are contenders in the network security solutions space. Vectra AI seems to have the upper hand due to its advanced AI-driven alert management capabilities.

Features: Vectra AI offers capabilities like advanced alert management that consolidates alerts into manageable incidents, captures network metadata at scale for enhanced context, and provides functionalities like Cognito Recall and Cognito Detect for improved visibility. Corelight integrates with Zeek for robust open-source traffic analysis, facilitates easy deployment, and enables detailed traffic insights.

Room for Improvement: Vectra AI needs improvements in integrating with external solutions and enhancing its user interface for better engagement. Users seek better logging and visibility on host-driven attacks. Corelight, despite its open-source strengths, requires additional feature development and ease of use improvements. Its complexity can overwhelm and complicate pricing.

Ease of Deployment and Customer Service: Vectra AI is mainly deployed on-premises with hybrid options, boasting strong technical support that enhances customer satisfaction. Corelight, also primarily on-premises, benefits from excellent technical support due to its smaller size, although its scalability might face challenges as demand grows.

Pricing and ROI: Vectra AI's high pricing reflects its comprehensive offerings, delivering a good ROI by reducing attack response time. However, it is less accessible for smaller budgets. In contrast, Corelight's pricing is more affordable and open-source, appealing to technically adept users, though additional investments may be required to maximize its value.