Exabeam Advanced Analytics - Detailed Review
Security Tools
Exabeam Advanced Analytics - Product Overview
Exabeam Advanced Analytics Overview
Exabeam Advanced Analytics is a sophisticated security solution that falls under the category of AI-driven security operations. Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Exabeam Advanced Analytics is designed to detect and respond to security threats by analyzing user and entity behavior. It integrates with existing SIEM (Security Information and Event Management) and log management systems to identify compromised insiders, rogue users, and advanced threats. The platform uses behavior modeling and analytics to learn normal user activities and detect anomalous behaviors, providing a comprehensive picture of user sessions and lateral movement within the attack chain.Target Audience
Exabeam Advanced Analytics caters to a diverse range of customers, including:- Large enterprise organizations across various industries such as finance, healthcare, and technology.
- Security professionals, including security analysts, incident responders, and SOC (Security Operations Center) teams.
- Managed Security Service Providers (MSSPs) who offer managed security services to their clients.
- Government agencies at the federal, state, and local levels.
Key Features
Here are some of the key features of Exabeam Advanced Analytics:- Data Collection and Enrichment: The platform collects logs from multiple data sources such as Domain Controllers, VPNs, security alerts, and DLP systems. It enriches this data with identity information from Active Directory (LDAP) to provide context for credential use.
- Behavior Modeling and Analytics: Exabeam uses statistical modeling and machine learning to profile the behaviors of network entities, distinguishing between users and service accounts. It identifies high-risk behaviors and articulates them into comprehensive timelines for easier investigation.
- Stateful User Tracking: This feature is part of the risk engine that processes events to identify anomalies and potential security incidents.
- Dynamic Peer Grouping: This capability compares a user’s behavior to their Active Directory peers to identify complex anomalies and reduce false positives.
- Integration with Incident Responder: Advanced Analytics can seamlessly integrate with Exabeam Incident Responder (IR) to push key session data for further investigations and remediation.
- Daily Activity Change Detection: This algorithm detects incremental changes in user activity day by day, based on changes in event types and volume.
- Personal Email Detection: The platform identifies employees engaging in sensitive data exfiltration to personal email accounts by leveraging user activity and behavior.
- Machine Learning SDK: This allows customers to bring their own data science algorithms and augment behavioral detection with their own custom models.
- Automation and Correlation: Features include automation management with no-code playbooks, correlation rules to identify and escalate anomalies, and a unified workbench for threat detection and response.
Exabeam Advanced Analytics - User Interface and Experience
Homepage and High-Level Counters
The Advanced Analytics homepage serves as a central hub, alerting analysts to items that require investigation. It features high-level counters that display totals for users, assets, sessions, events, and anomalies within the monitored environment. These counters are updated every 5 minutes and provide a quick overview of recent activity over the past 30 days.
User Profiles and Timelines
When analysts click on a username or score, they are directed to detailed user profiles or specific session timelines. The User Page includes sections such as General Information, Data Insights, Active Incidents, User Risk Trend, and Risk Reasons. This structured approach helps analysts quickly assess user behavior and potential risks. The User Timeline Page allows for a detailed examination of events by category and filtering of user timelines, making it easier to identify and investigate suspicious activities.
Role-Based Access Control and Data Masking
Exabeam implements role-based access control, ensuring that only authorized personnel can view sensitive information. The platform also supports data masking, which can be configured to protect personal identifiable information (PII). This feature ensures that only administrators with the appropriate permissions can view clear text PII, enhancing data privacy and compliance.
Investigation and Analysis Tools
The platform includes several tools to streamline investigations. For instance, the User Session Summary and User Session Timeline help analysts examine events by category and automate the stitching together of event timelines, including both normal and abnormal behavior. This reduces manual effort and increases productivity.
Customizable Dashboards and Search Capabilities
Exabeam offers customizable dashboards that allow analysts to visualize data and trends according to their needs. The search functionality is fast and scalable, enabling analysts to perform searches across both hot and cold data. This flexibility is crucial for quickly identifying and responding to security threats.
Ease of Use and Deployment
Exabeam Advanced Analytics is known for its ease of setup and use. It supports over 500 data sources out of the box and can be deployed as a physical appliance or as a cloud-ready virtual machine. The platform integrates seamlessly with major SIEM solutions and Exabeam’s own Log Management and Incident Response tools, making it a versatile and user-friendly solution for security operations.
User Engagement Analytics
To improve the overall user experience, Exabeam uses user engagement analytics to anonymously analyze user behavior, such as page views and clicks in the UI. This data is used to provide in-app walkthroughs and inform user research, ensuring the platform remains user-friendly and efficient.
Conclusion
In summary, the user interface of Exabeam Advanced Analytics is designed to be user-friendly, with a focus on providing clear and actionable insights to security analysts. Its structured layout, customizable features, and integrated tools make it an effective platform for threat detection, investigation, and response.
Exabeam Advanced Analytics - Key Features and Functionality
Exabeam Advanced Analytics
Exabeam Advanced Analytics, part of the Exabeam Security Operations Platform, is a comprehensive solution that leverages AI and automation to enhance threat detection, investigation, and response. Here are the key features and how they function:
Data Collection and Normalization
Exabeam collects data from various sources, including log management systems, SIEMs, Domain Controllers, VPNs, security alerts, and DLP systems. This data is normalized and enriched with contextual information about users and assets, helping to understand entity activities across multiple dimensions.
Behavioral Modeling and Machine Learning
The platform uses statistical modeling and machine learning to profile the behaviors of network entities. This includes distinguishing between users and service accounts through context estimation. Machine learning is applied to baseline normal user credential activities, access characteristics, and other behaviors, enabling the detection of anomalous activities.
Stateful User Tracking
Exabeam’s Stateful User Tracking technology connects user activities across multiple accounts, devices, and IP addresses. It places all user credential activities and characteristics on a timeline, assigning scores to anomalous access behavior. This helps in identifying and tracking user activities that may indicate insider threats or compromised accounts.
Correlation Rules
The platform allows for the creation, testing, and monitoring of custom correlation rules to identify and escalate anomalies. These rules compare incoming events for predefined relationships to flag high-risk activities. Prepackaged correlation rules are also available to help users get started quickly.
Automation Management
Exabeam offers no-code playbooks for automating incident resolution. This streamlines the process of responding to security incidents by automating routine tasks, reducing the workload on security analysts and improving response times.
Outcomes Navigator
The Outcomes Navigator provides actionable recommendations to enhance security coverage. It helps security teams by suggesting steps to improve their security posture and respond to threats more effectively.
Log Stream and Data Processing
The platform processes logs rapidly with over 10,000 pre-built parsers, enabling fast and scalable log analysis. This is supported by a cloud-native infrastructure optimized for data analytics, which ensures parallel event processing and unlimited processing power.
Threat Center and Dashboards
The Threat Center serves as a unified workbench for threat detection and response, providing a centralized place for security teams to manage threats. Customizable dashboards allow for the visualization of data and trends, giving security analysts clear insights into incident histories and ongoing activities.
AI Analyst Assistant – Exabeam Copilot
Exabeam Copilot, powered by Generative AI, enhances analyst productivity and insights. It automates tasks, simplifies queries, and delivers actionable insights, supporting faster and more accurate threat detection, investigation, and response (TDIR). Analysts can use natural language to search and ask questions, making the investigation process more efficient.
Dynamic Risk Scoring and Alert Triage
The platform uses machine learning to automate the prioritization of alerts, assessing factors such as rarity and frequency. Alerts are classified with dynamic risk scoring, which helps in streamlining threat triage and focusing on the most critical threats. This ensures that security teams can prioritize and respond to high-risk activities effectively.
User/Entity Behavior Analysis (UEBA)
Exabeam’s UEBA leverages machine learning to understand user and device behaviors, assigning risk scores to activities for improved threat detection, prioritization, and response. This includes automated, searchable threat timelines and automated threat triage, which help in detecting and flagging anomalous, risky activities.
These features collectively enable Exabeam Advanced Analytics to provide a holistic approach to security operations, leveraging AI and automation to detect, investigate, and respond to threats with high accuracy and efficiency.
Exabeam Advanced Analytics - Performance and Accuracy
Evaluating Exabeam Advanced Analytics
Evaluating the performance and accuracy of Exabeam Advanced Analytics involves examining its key features, operational mechanisms, and any inherent limitations.
Data Collection and Processing
Exabeam Advanced Analytics employs a two-layer approach to identify incidents. The first layer collects data from various log sources and external context data sources, such as Domain Controllers, VPNs, security alerts, and DLP systems, often through existing SIEM systems or direct ingestion via Syslog.
This data is then normalized and enriched with contextual information about users and assets, which helps in profiling the behaviors of network entities using statistical modeling and machine learning. This process distinguishes between users and service accounts, among other functions.
Anomaly Detection and Risk Scoring
In the second layer, Exabeam’s Analysis Engine and Stateful User Tracking technology process the events. This involves connecting user activities across multiple accounts, devices, and IP addresses, and scoring anomalous access behaviors. The system updates risk scores based on anomaly detection and external data sources, ensuring significant anomalies are highlighted and incidents are generated when scores exceed defined thresholds.
Performance
The performance of Exabeam Advanced Analytics is enhanced by its ability to process logs rapidly, with over 10,000 pre-built parsers, and its scalable security operations capabilities. The platform supports fast and scalable searches across both hot and cold data, which is crucial for efficient incident response.
However, there are some performance limitations to consider. For instance, with a Fusion license, there are specific data volume limitations to ensure the proper operation of the service. Users cannot exceed 17 events per second (EPS) on average per 1GB of daily consumption, and there are restrictions on exceeding 10 EPS in any 30-minute period to prevent performance degradation.
Accuracy
The accuracy of Exabeam Advanced Analytics is improved through the use of machine learning algorithms that identify anomalous behaviors relative to individual users, sessions, devices, or group behaviors. These algorithms are continuously refined to enhance the speed and accuracy of numerical data calculations, thereby improving the overall performance of the analytics.
The system also leverages contextual information and identity data from sources like Active Directory (LDAP) to provide a comprehensive picture of user activities, which enhances the accuracy of anomaly detection and incident identification.
Areas for Improvement
While Exabeam Advanced Analytics is highly effective, there are areas where improvements can be made. For example, managing data volume and ensuring compliance with the service’s limitations is crucial to maintain optimal performance. Additionally, integrating observability pipeline technology can help in optimizing data management, reducing storage costs, and enhancing security outcomes by collecting the most valuable telemetry data.
Conclusion
In summary, Exabeam Advanced Analytics offers strong performance and accuracy in detecting and responding to security threats, thanks to its advanced data collection, processing, and anomaly detection capabilities. However, users need to be mindful of the data volume limitations and consider additional technologies like observability pipelines to further optimize their security operations.
Exabeam Advanced Analytics - Pricing and Plans
The Pricing Structure for Exabeam Advanced Analytics
The pricing structure for Exabeam Advanced Analytics is based on several factors, including the number of users and the duration of the subscription. Here are the key details:Subscription Tiers Based on User Count
Exabeam Advanced Analytics offers different pricing tiers depending on the number of users:1,001 to 2,500 users
- 1-year subscription: $60 per user, with a 15% DIR discount.
- 3-year subscription: $162 per user, with a 15% DIR discount.
2,501 to 5,000 users
- 1-year subscription: $45 per user, with a 15% DIR discount.
- 3-year subscription: $121.50 per user, with a 15% DIR discount.
5,001 to 7,500 users
- 1-year subscription: $33 per user, with a 15% DIR discount.
- 3-year subscription: $89.10 per user, with a 15% DIR discount.
Features Available in Each Plan
While the pricing varies by user count and subscription duration, the core features of Exabeam Advanced Analytics remain consistent across these plans. Here are some key features:- User and Entity Behavior Analytics (UEBA): Identifies compromised, malicious insiders, and advanced threats by leveraging logs and contextual information.
- Dynamic Alert Prioritization: Automates security alert prioritization, categorizing alerts as high priority, low priority, or observational based on behavioral analytics and context.
- Smart Timelines: Highlights the risk associated with each event, saving analysts from writing numerous queries.
- Integration with Third-Party Tools: Orchestrates and automates workflows with over 100 third-party products.
- Threat Intelligence Service: Provides threat intelligence feeds and context tables to enhance security analysis.
Additional Plans and Features
In addition to the Advanced Analytics subscriptions, Exabeam offers other related products and add-ons:- Exabeam Threat Hunter: This is a separate subscription that focuses on threat hunting. Pricing varies similarly based on user count, with rates such as $18 per user for 1,001 to 2,500 users for a 1-year subscription.
- Exabeam Security Analytics: This includes subscriptions based on the amount of data ingested per day, such as up to 50 GB, 100 GB, 300 GB, etc., with corresponding prices.
Free Options
There is no indication of free options or trials available for Exabeam Advanced Analytics in the provided sources. Typically, enterprise security solutions like Exabeam do not offer free versions but may provide demos or trials upon request. In summary, Exabeam Advanced Analytics pricing is structured around user count and subscription duration, with consistent core features across all plans. Additional products and add-ons are available with their own pricing structures. Exabeam Advanced Analytics - Integration and Compatibility
Exabeam Advanced Analytics Integration Overview
Exabeam Advanced Analytics integrates seamlessly with various security and log management tools, ensuring comprehensive and efficient security operations. Here are some key aspects of its integration and compatibility:Integration with SIEM Systems
Exabeam Advanced Analytics can fetch logs from several SIEM (Security Information and Event Management) systems, including Splunk, Microfocus ArcSight, and IBM QRadar. It can ingest logs either via API calls or through Syslog forwarding. For instance, it can be configured to pull logs from a Splunk instance using Splunk’s API, allowing for the analysis of historical logs to establish behavioral baselines and detect anomalies.Integration with Splunk
The integration with Splunk is particularly noteworthy. Exabeam Advanced Analytics can be set up to receive logs directly from Splunk, either through API calls or Syslog forwarding. This setup enables customers to leverage their existing Splunk log data for comprehensive threat detection without the need for additional hardware or agents. The data ingested from Splunk can be enriched with identity information from Active Directory (LDAP) to provide a detailed picture of user activities and lateral movement.Compatibility with Log Sources
Exabeam Advanced Analytics supports ingestion of logs from a wide range of sources, including Domain Controllers, VPNs, security alerts, and DLP (Data Loss Prevention) systems. This versatility allows it to integrate with various log management and security tools, enhancing its ability to detect compromised and rogue insiders.API and Authentication
For integrations, Exabeam uses APIs and cluster authentication tokens. For example, when integrating with Google Security Operations SOAR, you need to generate a Cluster Authentication Token in Exabeam, which is then used to authenticate API calls. This ensures secure and authorized communication between Exabeam and other tools.Open-API Standard (OAS) Compatibility
Exabeam’s New-Scale Security Operations Platform is compatible with the Open-API Standard (OAS), which allows for greater flexibility and openness. This compatibility enables security teams to create automations and playbooks using their best-of-breed tools, fostering a unified and integrated security operations ecosystem.Deployment Flexibility
Exabeam Advanced Analytics can be deployed in various environments, including on-premises and cloud setups. It supports both physical and virtual appliances, allowing it to scale from small to global organizations by adding multiple nodes as needed. This scalability ensures that the system can handle high-volume feeds efficiently.Conclusion
In summary, Exabeam Advanced Analytics is highly integrable with a range of security tools and log management systems, offering flexibility in deployment and a strong focus on openness and compatibility. This makes it a versatile and effective solution for enhancing security operations. Exabeam Advanced Analytics - Customer Support and Resources
Exabeam Advanced Analytics Customer Support
Exabeam Advanced Analytics offers a comprehensive set of customer support options and additional resources to ensure users get the most out of their security operations.Customer Support Plans
Exabeam provides three distinct support plans to cater to different organizational needs:Standard Support
Available to all Exabeam customers, this plan includes access to support and community portals. Users can leverage knowledge, best practices, and support resources to deploy Exabeam and manage security threats effectively.Premier Support
This plan is ideal for self-sufficient organizations that require faster response times. It includes prompt support for severity 1 issues, enhanced SLAs, and access to Technical Account Managers for guided product adoption and coaching sessions.Premier Plus Support
The top-tier plan assigns a Customer Success Manager who works closely with the organization to develop a success plan. It also includes a Technical Account Manager for product adoption enablement and consultation sessions, ensuring top-level support for the organization’s specific needs.Additional Resources
Professional Services
Exabeam offers professional services where users can partner with product experts to deploy and operationalize their security solutions. This ensures that the in-house security team can deliver consistent security outcomes.Education and Training
Users can benefit from instructor-led or self-led training programs to maximize the features and functionality of the Exabeam Security Operations Platform. These training sessions help users get the most value out of their implementation.Technical Support and Troubleshooting
For technical issues, users can generate a support file that includes necessary technical information for the Exabeam Customer Success team. This file can be generated through the Exabeam interface and attached to a support ticket in the Exabeam Community. The support file may include the last five rotated logs from the Analytics Engine or Log Ingestion Messaging Engine (LIME) if requested.Documentation and Guides
Exabeam provides an extensive documentation portal that includes administration guides, configuration settings, and troubleshooting tips for Advanced Analytics. This resource helps users configure log management, set up admin operations, manage security content, and perform system health checks.Community and Portals
Users have access to community portals and support resources where they can find answers to their questions, share knowledge, and engage with other users and Exabeam experts. By leveraging these support options and resources, users of Exabeam Advanced Analytics can ensure their security operations are running optimally and efficiently. Exabeam Advanced Analytics - Pros and Cons
Advantages of Exabeam Advanced Analytics
Exabeam Advanced Analytics offers several key advantages that make it a strong contender in the security tools AI-driven product category:Advanced User and Entity Behavior Analytics (UEBA)
Exabeam’s UEBA continuously adjusts the baseline for user and entity behavior, enabling the detection of anomalies and potential threats more effectively.Anomaly Detection and Threat Identification
The platform uses machine learning to learn normal user and device behavior, detecting and prioritizing anomalies based on risk. It includes over 1,800 detection rules and 800 behavioral models to identify high-risk threats.Automation and Orchestration
Exabeam integrates Security Orchestration, Automation, and Response (SOAR) capabilities, allowing for automated investigations and incident response through no-code playbooks. This streamlines security operations and accelerates investigation and response times.Scalable and Dynamic Log Retention
The platform offers rapid data ingestion and scalable log retention, ensuring that large volumes of data can be processed efficiently. It also features lightning-fast query performance, which is crucial for swift threat detection and response.Comprehensive Threat Management
The Threat Center centralizes threat management, investigative tools, and benefits, simplifying security analyst workflows and improving threat coverage.Pre-built Integrations and Rules
Exabeam supports ingestion from over 650 third-party security products and includes more than 2,500 pre-built rules and behavioral models, making it highly integrable and effective out-of-the-box.Ease of Setup and Use
Users have reported that the setup is not difficult, and the platform is relatively easy to use, which is a significant advantage for security teams.Disadvantages of Exabeam Advanced Analytics
While Exabeam Advanced Analytics offers many benefits, there are also some areas where it could be improved:MITRE ATT&CK Framework Coverage
There is room for enhancement in terms of coverage of the MITRE ATT&CK Framework, which could provide more comprehensive threat modeling and detection.Documentation and API Interaction
Users have noted that the documentation and API interaction could be improved, as these areas sometimes affect performance and usability.Dashboard Customization
There is a need for more flexibility and precision in dashboard customization, as current options may not fully meet the needs of all users.Performance Impact from Updates
Updating releases can sometimes affect the performance of the platform, which can be a temporary but significant issue.Out-of-the-Box Integration
While Exabeam has extensive integration capabilities, out-of-the-box integration with certain systems needs improvement to make it more seamless. Overall, Exabeam Advanced Analytics is a powerful tool with strong analytics and automation capabilities, but it also has some areas that require further development to fully meet user needs. Exabeam Advanced Analytics - Comparison with Competitors
Unique Features of Exabeam Advanced Analytics
User and Entity Behavior Analytics (UEBA)
Exabeam Advanced Analytics stands out with its advanced UEBA capabilities, which analyze user and entity behavior to detect compromised and rogue insiders. It integrates logs from various data sources, enriches them with identity information from Active Directory (LDAP), and uses behavior modeling and analytics to identify anomalous activities.
Stateful User Tracking
Exabeam employs a two-layer approach, including a risk engine and Stateful User Tracking, to provide a comprehensive view of user activities and lateral movement within the attack chain.
Threat Center and Exabeam Copilot
The platform features a unified threat detection, investigation, and response (TDIR) workbench powered by AI, along with Exabeam Copilot, a generative AI assistant that automates insights and suggests actionable steps. This enhances analyst productivity and efficiency.
Integration with Existing SIEM
Exabeam Advanced Analytics can be integrated with existing SIEM solutions, such as Microsoft Sentinel, to enhance log management and threat detection capabilities without requiring a full SIEM overhaul.
Potential Alternatives and Competitors
Vectra AI
Network Metadata Analysis: Vectra AI focuses on revealing and prioritizing potential attacks using network metadata. It is particularly strong in hybrid attack detection, investigation, and response, but may not offer the same level of UEBA as Exabeam.
Use Case: Best for hybrid attack detection and response.
SentinelOne
Endpoint Security: SentinelOne is renowned for its advanced threat hunting and incident response capabilities, particularly at the endpoint level. While it excels in monitoring user endpoint behavior, it may not match Exabeam’s depth in UEBA and entity behavior analysis.
Use Case: Best for advanced threat hunting and incident response.
Darktrace
Autonomous Response: Darktrace is known for its autonomous response technology that interrupts cyber-attacks in real-time. It is strong in neutralizing novel threats but may lack the detailed user and entity behavior analysis provided by Exabeam.
Use Case: Best for neutralizing novel threats.
Balbix
Cyber Risk Quantification: Balbix offers a unique approach by quantifying cyber risk using AI and predictive analytics. It provides a unified cyber risk posture view and predicts breach likelihood, but it is more focused on risk quantification rather than real-time threat detection and response.
Use Case: Best for quantifying cyber risk and predicting breaches.
CrowdStrike
Endpoint Protection: CrowdStrike provides cloud-native endpoint protection and is strong in monitoring user endpoint behavior. However, it may not offer the same level of integration with SIEM systems or the advanced UEBA capabilities of Exabeam.
Use Case: Best for monitoring user endpoint behavior.
In summary, while Exabeam Advanced Analytics excels in UEBA and integrating with existing SIEM solutions, other tools like Vectra AI, SentinelOne, Darktrace, Balbix, and CrowdStrike offer unique strengths in different areas of cybersecurity. The choice between these tools depends on the specific needs and focus areas of the organization.
Exabeam Advanced Analytics - Frequently Asked Questions
Frequently Asked Questions about Exabeam Advanced Analytics
What are the key components of Exabeam Advanced Analytics?
Exabeam Advanced Analytics is built around several key components. These include the Log Ingestion and Messaging Engine (LIME) or the unified ingestion pipeline (UIP) in the latest versions, which handle log ingestion activities. The system also uses a hierarchical common information model to structure data and provides cloud-native Search and Dashboard applications for log management, search, and presentation.How does log ingestion work in Exabeam Advanced Analytics?
In the latest SaaS version (i63 and later), log ingestion is managed by the unified ingestion pipeline (UIP), which centralizes log ingestion activities for all Exabeam products. This is visible through the cloud-native Log Stream functionality. In older versions (i60 to i62), LIME handles log ingestion.What are correlation rules in Exabeam Advanced Analytics?
Correlation rules in Exabeam Advanced Analytics are used to identify and escalate anomalies. These rules are customizable, allowing users to set specific criteria for identifying potential security threats. This feature is part of the broader AI-driven security operations platform that enhances threat detection and response.How does Exabeam Advanced Analytics handle user and asset baselining?
Exabeam Advanced Analytics builds a baseline for each user and asset using a training process. This baseline helps in assessing events and identifying anomalies based on normal user and asset behavior. The system provides confidence in assessing events by comparing them against this established baseline.What is the role of the Outcomes Navigator in Exabeam Advanced Analytics?
The Outcomes Navigator is a feature that enhances security coverage by providing actionable recommendations. It helps security analysts by suggesting next steps and improving the efficiency of threat detection and response processes.How does Exabeam Advanced Analytics manage role-based access control?
Exabeam Advanced Analytics uses role-based access control to manage user permissions. This includes universal role-based access and legacy role-based access control, allowing administrators to set up and manage access levels for different users and groups within the system.What is the Threat Intelligence Service in Exabeam Advanced Analytics?
The Threat Intelligence Service integrates external threat intelligence feeds into the Exabeam platform. This service allows users to view and manage threat intelligence context tables, assign feeds to new context tables, and create new context tables from these feeds, enhancing the system’s ability to detect and respond to threats.How does Exabeam Advanced Analytics handle system health and optimization?
Exabeam Advanced Analytics includes features for monitoring system health and consumption. It provides proactive and on-demand system health checks, alerts for storage use, and alerts for low disk space or paused parsers. The system also allows for setting up system optimization and automatic shutdown if necessary.What are the different subscription options available for Exabeam Advanced Analytics?
Exabeam offers various subscription options based on the number of users and the amount of data ingested per day. These include one-year and three-year subscriptions for different user tiers (e.g., 1,001 to 2,500 users, 2,501 to 5,000 users) and different data ingestion capacities (e.g., up to 50 GB, 100 GB, 500 GB per day).How does Exabeam Advanced Analytics support automation in security operations?
Exabeam Advanced Analytics includes automation management features that streamline incident resolution using no-code playbooks. This automation helps in efficiently managing and responding to security incidents without requiring extensive coding knowledge.What kind of data visualization does Exabeam Advanced Analytics offer?
Exabeam Advanced Analytics provides customizable dashboards for visualizing data and trends. These dashboards help security analysts quickly identify key metrics and anomalies, making it easier to monitor and respond to security events. Exabeam Advanced Analytics - Conclusion and Recommendation
Final Assessment of Exabeam Advanced Analytics
Exabeam Advanced Analytics stands out as a leading solution in the AI-driven security operations category, offering a comprehensive and innovative approach to threat detection, investigation, and response.Key Benefits
- Advanced Threat Detection: Exabeam Advanced Analytics uses a proprietary Session Data model to automatically link and analyze user and entity activity, identifying potential threats by detecting anomalies in behavior, including credential-based attacks, insider threats, and ransomware.
- Efficient Investigation: The platform streamlines security operations by automating the creation of session timelines, reducing manual effort for security analysts and increasing their productivity. It also integrates seamlessly with incident response tools, such as Exabeam Incident Responder, to facilitate quick incident creation and remediation.
- Flexible Data Handling: Exabeam can ingest logs from various sources, including SIEM systems and direct data sources via Syslog, allowing for quick deployment and analysis of historical logs. This flexibility ensures a fast time to value and supports over 500 data sources out of the box.
- AI and Machine Learning: The platform leverages AI and machine learning to provide context-aware risk scoring, dynamic peer grouping, and automated insights through tools like Exabeam Copilot. This enhances the accuracy and speed of threat mitigation and simplifies complex queries for analysts.
Who Would Benefit Most
Exabeam Advanced Analytics is particularly beneficial for:- Enterprise Organizations: Large enterprises across various industries, such as finance, healthcare, and technology, can protect their complex IT infrastructures with advanced cybersecurity measures.
- Security Professionals: Security analysts, incident responders, and SOC teams can significantly improve their efficiency and effectiveness in detecting and responding to cyber threats.
- Managed Security Service Providers (MSSPs): MSSPs can enhance their threat detection and response capabilities by leveraging Exabeam’s advanced analytics and automation.
- Government Agencies: Federal, state, and local government agencies can safeguard critical infrastructure and sensitive information with Exabeam’s robust cybersecurity solutions.
Overall Recommendation
Exabeam Advanced Analytics is highly recommended for organizations seeking to enhance their security operations with AI-driven solutions. Here are some key reasons:- Quick Time to Value: The platform offers rapid deployment and analysis of historical logs, providing immediate benefits and insights.
- Operational Efficiencies: It automates many tasks, such as creating session timelines and prioritizing incidents, which significantly reduces the workload for security analysts and improves their productivity.
- Comprehensive Threat Detection: Exabeam’s ability to detect complex threats, including lateral movement and credential-based attacks, makes it a valuable asset in any security arsenal.