About Exabeam
Exabeam is a cybersecurity software platform from Exabeam that focuses on analytics-driven security information and event management (SIEM). It combines user behavior analysis, machine learning, and automated incident response to help organizations detect and respond to threats more effectively. Exabeam's approach allows security teams to prioritize alerts based on context and behavioral anomalies, reducing response time to incidents. The platform supports both on-premises and cloud environments, making it adaptable to various IT infrastructures. Key capabilities: user behavior analytics threat detection incident response automation integration with existing security tools compliance reporting Best for: security teams that need comprehensive threat detection and response capabilities.
Exabeam Details
Exabeam's In-App Market Place
Does Exabeam have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CNY (¥), INR (₹), BRL (R$)
Pros & Cons
- Exabeam emphasizes its use of AI and automation for threat detection, investigation, and response
- The platform is specifically designed for TDIR, covering the entire security lifecycle from detection to response.
- Exabeam offers various deployment options to cater to different customer needs and environments.
- The platform is designed to handle data at cloud scale, addressing the increasing volume of security data.
- Exabeam uses behavioral models to detect anomalies and insider threats, which is a crucial aspect of modern security.
- SIEM platforms, especially those with advanced capabilities like AI and behavioral analytics, can be complex to implement and manage.
- Enterprise-grade SIEM solutions like Exabeam can be expensive, especially for large deployments.
- While Exabeam offers integrations, integrating with existing security tools and workflows might still require effort and expertise.
- Even with AI-powered detection, there is a potential for alert fatigue if the platform is not properly configured and tuned.
- The effectiveness of the platform relies heavily on the quality and completeness of the ingested data.