Exabeam Advanced Analytics - Detailed Review
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Exabeam Advanced Analytics - Product Overview
Exabeam Advanced Analytics
Exabeam Advanced Analytics is a sophisticated component of the Exabeam Security Operations Platform, focusing on AI-driven security operations to protect organizations from cyber threats.
Primary Function
The primary function of Exabeam Advanced Analytics is to identify and respond to security incidents in real-time. It achieves this by collecting and processing data from various log sources and external context data sources. This data is then normalized, enriched with contextual information, and analyzed using statistical modeling and machine learning. The system is particularly adept at detecting anomalous user behavior, compromised insiders, and advanced threats by tracking high-risk behaviors across networks and assets.
Target Audience
Exabeam Advanced Analytics is designed for a diverse range of customers, including:
- Large Enterprises: Across industries such as finance, healthcare, and technology, which require advanced cybersecurity measures to protect sensitive data.
- Security Professionals: Security analysts, incident responders, and SOC (Security Operations Center) teams who need to detect and respond to cyber threats efficiently.
- Managed Security Service Providers (MSSPs): These providers use Exabeam’s solutions to offer managed security services to their clients.
- Government Agencies: Federal, state, and local government organizations that need robust cybersecurity to safeguard critical infrastructure and sensitive information.
Key Features
Here are some of the key features of Exabeam Advanced Analytics:
- Data Collection and Processing: Collects data from log sources and external context data sources, normalizes and enriches it with contextual information about users and assets.
- Stateful User Tracking: Connects user activities across multiple accounts, devices, and IP addresses, placing all user credential activities on a timeline with scores assigned to anomalous access behavior.
- Analysis Engine: Updates risk scores based on anomaly detection and input from other external data sources, helping to identify significant anomalies and generate incidents when scores exceed defined thresholds.
- Correlation Rules: Identifies and escalates anomalies with customizable rules.
- Automation Management: Streamlines incident resolution with no-code playbooks.
- Outcomes Navigator: Provides actionable recommendations to enhance security coverage.
- Dynamic Peer Grouping: Compares a user’s behavior to their peers to identify complex anomalies and reduce false positives.
- Machine Learning SDK: Allows users to integrate their own data science algorithms for augmented behavioral detection.
Overall, Exabeam Advanced Analytics is a comprehensive solution that leverages AI and machine learning to enhance security operations, making it easier for organizations to detect, investigate, and respond to cyber threats effectively.
Exabeam Advanced Analytics - User Interface and Experience
User Interface Overview
The user interface of Exabeam Advanced Analytics is designed to be intuitive and user-friendly, particularly for security analysts and personnel.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 at the top, displaying 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
Analysts can access detailed user profiles, which include general information, data insights, active incidents, user risk trends, and risk reasons. The User Timeline Page allows for a detailed examination of user activity, including session summaries and the ability to filter timelines. Clicking on a username or score can open the User Page or a specific session on the User Timeline Page, respectively.Alerts and Prioritization
Exabeam Advanced Analytics uses intelligent security alert prioritization to ensure analysts focus on the most critical alerts. The platform automatically links and analyzes user and entity activity to identify potential threats, such as credential-based attacks, insider threats, and ransomware. This automation reduces manual effort and increases productivity for security analysts.Data Visualization and Dashboards
The platform offers customizable dashboards that visualize data and trends, making it easier for analysts to identify patterns and anomalies. The Threat Center provides a unified workbench for threat detection and response, enhancing the overall security coverage.Ease of Use and Setup
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 a cloud-ready virtual machine. The platform includes pre-built parsers and collectors to gather data from various sources, making the integration process straightforward.Role-Based Access Control and Data Masking
The platform implements role-based access control, ensuring that only authorized personnel can view sensitive information. Data masking is also available, allowing administrators to configure which fields should be masked to comply with data privacy directives. This feature ensures that personal data is protected and only accessible to authorized roles.User Engagement and Feedback
Exabeam uses user engagement analytics to provide in-app walkthroughs and anonymously analyze user behavior, such as page views and clicks in the UI. This feedback helps in improving the user experience and making the platform more intuitive.Overall User Experience
The user interface is designed to fit the way security professionals work, with a focus on investigation-focused user experience. The automation and AI-driven features streamline incident resolution, making it easier for analysts to identify and respond to threats efficiently. The platform’s flexibility in deployment and data handling adds to its overall ease of use and effectiveness in enhancing security operations. Exabeam Advanced Analytics - Key Features and Functionality
Exabeam Advanced Analytics
Exabeam Advanced Analytics, part of the Exabeam Security Operations Platform, is a sophisticated tool that leverages AI, machine learning, and behavioral analytics to enhance threat detection, investigation, and response. Here are the key features and how they work:
Data Collection and Enrichment
Exabeam collects logs from various data sources such as Domain Controllers, VPNs, security alerts, and Data Loss Prevention (DLP) systems, either through existing SIEM systems or direct ingestion via Syslog. This data is enriched with identity information from Active Directory (LDAP), providing an identity context for credential use.
Behavioral Modeling and Analytics
The platform uses behavior modeling and analytics to learn normal user credential activities and access characteristics. It applies machine learning to profile the behaviors of network entities, distinguishing between users and service accounts. This helps in identifying anomalous activities by comparing them against the baseline of normal behavior.
Stateful User Tracking
Exabeam’s Stateful User Tracking technology is a critical component of the second layer of incident identification. It tracks user sessions and lateral movement within the attack chain, providing a complete picture of user activities across different dimensions. This feature helps in detecting compromised and rogue insiders by analyzing the context of user activities.
AI-Driven Risk Scoring
The platform uses machine learning-based AI to assign dynamic risk scores to user and entity activities. This scoring system helps in prioritizing alerts and incidents based on their risk levels, ensuring that security teams focus on the most critical threats first.
Automated Threat Detection and Triage
Exabeam’s AI-powered system automatically detects potential security threats such as credential-based attacks, insider threats, and ransomware activity. It uses over 1,800 pattern-matching rules and ML-based behavior models to identify high-risk user and entity activities. The system also automates the alert triage workflow, prioritizing alerts based on their risk scores and rarity.
Smart Timelines and Incident Visualization
The platform generates Smart Timelines that highlight the risk associated with each event, providing a chronological view of incident histories. This feature saves analysts from writing hundreds of queries, making it easier to investigate and respond to threats.
Generative AI and Analyst Assistance
Exabeam Copilot, powered by Generative AI, assists security analysts by automating tasks, simplifying queries, and delivering actionable insights. This enhances productivity and efficiency in cybersecurity operations, allowing analysts to focus on more complex tasks.
Scalable Data Platform
The Exabeam New-Scale Platform is cloud-native and optimized for data analytics, offering parallel event processing and unlimited processing power. This ensures that the platform can handle large volumes of data with high speed and scalability, meeting the demanding requirements of AI-driven security operations.
Automation and Orchestration
The platform can orchestrate and automate repeated workflows across over 100 third-party products. It uses no-code playbooks to streamline incident resolution, making it easier to manage and respond to security incidents.
Customizable Dashboards and Outcomes Navigator
Exabeam provides customizable dashboards to visualize data and trends, and the Outcomes Navigator suggests ways to improve security coverage by mapping data feeds against common security use cases. This helps in enhancing overall security posture and ensuring comprehensive coverage.
These features collectively enable Exabeam Advanced Analytics to provide a comprehensive and effective security operations platform, leveraging AI and machine learning to detect, investigate, and respond to security threats with high accuracy and efficiency.
Exabeam Advanced Analytics - Performance and Accuracy
Performance of Exabeam Advanced Analytics
Exabeam Advanced Analytics is built to handle large volumes of data and provide efficient threat detection and response. Here are some key points regarding its performance:Data Processing and Scalability
- Data Processing and Scalability: Exabeam uses a two-layer approach to process data. The first layer collects and normalizes data from log sources and external context data sources, while the second layer involves the Analysis Engine and Stateful User Tracking to connect user activities and assign risk scores.
Scalable Architecture
- Scalable Architecture: The platform has a scale-out architecture, allowing it to meet the needs of small to global organizations by scaling horizontally through the addition of multiple nodes. This ensures it can handle high-volume feeds such as endpoint logs or web activity logs.
Performance Limitations
- Performance Limitations: There are specific limitations to ensure the proper operation of Advanced Analytics. For example, with a Fusion license, the system cannot exceed 17 events per second (EPS) on average, and if 10 EPS is exceeded in any 30-minute period, it cannot exceed 10 EPS for at least four hours afterward to prevent performance degradation.
Accuracy of Exabeam Advanced Analytics
The accuracy of Exabeam Advanced Analytics is enhanced through several features:Machine Learning and Behavioral Analysis
- Machine Learning and Behavioral Analysis: The platform leverages machine learning and behavioral analysis to uncover threats that traditional SIEMs might miss. It profiles the behaviors of network entities and distinguishes between users and service accounts using context estimation.
Dynamic Risk Scoring
- Dynamic Risk Scoring: Exabeam uses a risk engine that assigns risk scores to events flagged as anomalous. These scores are updated based on input from anomaly detection and other external data sources, ensuring that only significant anomalies are highlighted.
Integration with External Alerts
- Integration with External Alerts: The system integrates security alerts from third-party sources (e.g., FireEye or CrowdStrike) into user sessions and scores them as factual risks, enhancing the accuracy of threat detection.
Areas for Improvement
While Exabeam Advanced Analytics is highly effective, there are some areas to consider:Data Volume Management
- Data Volume Management: The platform has specific data volume limitations to ensure performance. Exceeding these limits can impact the functionality and performance of the service.
Alert Overload Reduction
- Alert Overload Reduction: Although Exabeam reduces alert noise by prioritizing alerts based on dynamic risk scoring, managing alert volumes remains a challenge. The system’s ability to cut through false positives is a significant benefit, but continuous optimization is necessary to maintain high accuracy.
Engagement and User Experience
Exabeam aims to enhance the user experience for security analysts by:Automating Processes
- Automating Processes: With features like Automation Management and no-code playbooks, Exabeam streamlines incident resolution, reducing manual processes and accelerating response times.
Unified Workbench
- Unified Workbench: The platform provides a unified workbench for threat detection and response, integrating log management, SIEM, UEBA, TDIR, and SOAR. This unified approach helps in breaking down silos and improving SOC efficiency.
Exabeam Advanced Analytics - Pricing and Plans
The Pricing Structure of Exabeam Advanced Analytics
The pricing structure of Exabeam Advanced Analytics is segmented based on the number of users and the duration of the subscription. Here are the key details:User Tiers and Pricing
Exabeam Advanced Analytics offers different user tiers, each with corresponding pricing:1,001 to 2,500 users:
- 1-year subscription: $60 per user, with a 15% DIR discount.
- 3-year subscription: $162 per user, also 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
Advanced Analytics
- This is the core product, providing user behavioral analytics security solutions using behavioral modeling and machine learning to detect modern threats.
- It includes features such as automated threat detection, investigation, and response (TDIR) workflows, and the ability to ingest, parse, store, and search security data at scale.
Threat Hunter
- This is a point-and-click advanced search function integrated with User Analytics, allowing searches across various dimensions like Activity Types, User Names, and Reasons.
- Pricing for Threat Hunter follows a similar tiered structure:
- 1,001 to 2,500 users: $18 per user for a 1-year subscription, and $48.60 per user for a 3-year subscription.
- 2,501 to 5,000 users: $13.50 per user for a 1-year subscription.
- 5,001 to 7,500 users: $9.90 per user for a 1-year subscription.
Additional Features
- Exabeam Threat Intelligence Services (TIS): Provides real-time actionable intelligence into potential threats and is fully integrated with the Advanced Analytics V3 license.
- Case Manager: Available as an add-on, it helps optimize analyst workflow by managing the life cycle of incidents. It requires a new license key and may need additional nodes.
Data Ingestion and Storage Plans
Exabeam also offers plans based on data ingestion and storage needs:- Exabeam Security Analytics: These plans vary by the amount of data ingested per day, ranging from 25 GB to 5,000 GB per day. For example:
- Up to 50 GB per day: $31,000 for a 1-year subscription.
- Up to 100 GB per day: $52,000 for a 1-year subscription.
- Up to 500 GB per day: $192,000 for a 1-year subscription.
- Up to 1,000 GB per day: $355,000 for a 1-year subscription.
Free Options
There are no free options or trials explicitly mentioned in the available sources. The pricing is structured around subscriptions and add-ons, with no indication of free tiers or trial periods. In summary, Exabeam Advanced Analytics pricing is structured around user counts and data ingestion needs, with various features and add-ons available depending on the chosen plan. Exabeam Advanced Analytics - Integration and Compatibility
Exabeam Advanced Analytics Integration
Exabeam Advanced Analytics integrates seamlessly with various security and monitoring tools, enhancing its compatibility and utility across different platforms and devices.
Integration with Google Security Operations SOAR
Exabeam Advanced Analytics can be integrated with Google Security Operations SOAR, allowing for several key functionalities. This integration enables users to perform active actions such as creating or deleting watchlists, adding entities to watchlists, and adding comments to entities. It also supports enrichment of entity information using data from Exabeam. To configure this integration, users need to generate a Cluster Authentication Token in Exabeam and provide parameters like the API root, API token, and SSL verification settings.
Integration with Splunk
Exabeam Advanced Analytics can be integrated with Splunk to leverage existing log data for comprehensive threat detection. This integration allows Splunk logs to be ingested into Exabeam via Splunk’s API or through syslog forwarding. This setup can be done quickly, often without the need for professional services, and enables the analysis of historical logs to establish behavioral baselines. Additionally, Exabeam can ingest data from other contextual sources like Active Directory, HR systems, and CMDB systems, enhancing visibility and detection capabilities.
Direct Data Transfer from Splunk
For direct data transfer from Splunk to Exabeam without an intermediary agent, organizations can use Splunk’s APIs and Exabeam’s log collector capabilities. This involves setting up an endpoint URL in Splunk and user credentials dedicated for Exabeam, allowing Exabeam to periodically fetch logs from Splunk for UEBA detections.
Open-API Compatibility and New-Scale Platform
Exabeam has enhanced its New-Scale Security Operations Platform with Open-API compatibility, enabling seamless connections with existing tools and eliminating the inefficiencies of disjointed systems. This update allows SOC teams to create automations and playbooks more efficiently, integrating late-arriving event logs and business context for better threat detection. The platform also includes integrations with other tools like Wiz Inc. and Cloudflare Inc.’s Beat, providing broader visibility into cloud environments and network activity.
Configuration and Service Integrations
Exabeam Advanced Analytics can be configured as a service within the Incident Responder settings. This involves specifying the service name, API URL, username, and password, and then testing the connectivity to ensure the service is properly set up. This configuration allows for various actions such as managing context tables, accepting sessions, and running other Exabeam Advanced Analytics actions.
Conclusion
In summary, Exabeam Advanced Analytics offers versatile integration options with major security tools like Google Security Operations SOAR and Splunk, as well as enhanced compatibility through its Open-API support, making it a flexible and integrated solution for security operations centers.
Exabeam Advanced Analytics - Customer Support and Resources
Exabeam Advanced Analytics Support Overview
Exabeam Advanced Analytics offers a comprehensive suite of customer support options and additional resources to ensure users get the most out of their security operations platform.Support Plans
Exabeam provides three distinct support plans to cater to different organizational needs:Standard Support
This plan is available to all Exabeam customers and includes access to support and community portals. It offers the necessary knowledge, best practices, and support for deploying Exabeam and managing security threats.
Premier Support
Geared for self-sufficient organizations, this plan offers faster response times for critical issues and enhanced Service Level Agreements (SLAs). It also includes access to Technical Account Managers for guided product adoption and a limited number of coaching sessions.
Premier Plus Support
This top-tier plan assigns a Customer Success Manager who works closely with your organization to develop a success plan. It also includes a Technical Account Manager for product adoption enablement and consultation sessions, ensuring top talent is engaged for your success.
Professional Services
Exabeam offers professional services where you can partner with their product experts to deploy and operationalize your security solution. This ensures your in-house security team can deliver consistent security outcomes.
Education and Training
To maximize the features and functionality of the Exabeam Security Operations Platform, Exabeam provides both instructor-led and self-led training. These training programs help users get the most value out of their implementation.
Technical Support Resources
For technical issues, users can generate a support file that includes the necessary technical information for Exabeam Customer Success to troubleshoot problems. This file can be generated through the Exabeam platform and attached to a support ticket in the Exabeam Community.
Documentation and Guides
Exabeam maintains a detailed documentation portal that includes administration guides, configuration settings, and troubleshooting tips. This resource helps users configure log management, set up admin operations, manage security content, and perform system health checks.
Community Support
The Exabeam Community portal is a valuable resource where users can access support, share knowledge, and engage with other users and Exabeam experts. This community is part of the standard support plan and is available to all customers.
By leveraging these support options and resources, users of Exabeam Advanced Analytics can ensure their security operations are optimized and any issues are promptly addressed.
Exabeam Advanced Analytics - Pros and Cons
Pros of Exabeam Advanced Analytics
Exabeam Advanced Analytics offers several significant advantages that make it a strong contender in the SIEM and security operations market:Advanced User and Entity Behavior Analytics (UEBA)
Exabeam’s UEBA capabilities continuously adjust the baseline for user behavior, helping to identify anomalies and potential security threats more effectively.
Anomaly Detection and Incident Response
The system uses a two-layer approach to identify incidents, combining data collection, normalization, and advanced analytics to detect and respond to security threats. It connects user activities across multiple accounts, devices, and IP addresses, and updates risk scores based on anomaly detection and external data sources.
Automation and Orchestration
Exabeam includes Security Orchestration, Automation, and Response (SOAR) features, which streamline incident resolution with no-code playbooks and automation management. This enhances the efficiency of security operations.
Scalable and Flexible Deployment
The platform is cloud-native and offers flexible deployment options, allowing it to scale with the needs of the organization. It also supports data collection from both on-premises and cloud sources.
Comprehensive Data Processing
Exabeam’s Data Lake and Advanced Analytics engine process large datasets efficiently, enabling fast and scalable searches across both hot and cold data. This is particularly useful for security investigations and threat detection.
Ease of Setup and Use
Users have reported that the setup of Exabeam is not difficult, and the platform provides straightforward pricing and strong platform support.
Customizable Dashboards and Correlation Rules
The platform allows for customizable dashboards to visualize data and trends, and correlation rules can be set up to identify and escalate anomalies.
Cons of Exabeam Advanced Analytics
While Exabeam Advanced Analytics has many strengths, there are also some areas where it falls short:Lack of Live Network Monitoring
Unlike many other SIEM tools, Exabeam does not include live network monitoring capabilities. Instead, it uses network monitoring features as data collection agents.
Initial Design Limitations
Exabeam was not initially designed as a SIEM tool, which might affect its performance in certain traditional SIEM functionalities.
Areas for Improvement in Integration and Documentation
Users have noted that out-of-the-box integration needs improvement, and there are areas for enhancement in MITRE ATT&CK Framework coverage, documentation, and API interaction.
Performance Impact from Updates
Updating releases can sometimes affect the performance of the system, which can be a temporary but significant issue.
Dashboard Customization Limitations
While the platform offers customizable dashboards, users have requested more flexibility and precision in this area.
Overall, Exabeam Advanced Analytics is a powerful tool with strong analytics and automation capabilities, but it also has some limitations that users should be aware of.
Exabeam Advanced Analytics - Comparison with Competitors
Exabeam Advanced Analytics Unique Features
- Two-Layer Approach: Exabeam uses a two-layer approach to identify incidents. The first layer involves collecting and normalizing data from log sources and external context data sources, enriching it with user and asset information. The second layer processes this data through the Analysis Engine and Stateful User Tracking technology, connecting user activities across multiple accounts, devices, and IP addresses. This approach assigns risk scores to anomalous access behavior and generates incidents when these scores exceed defined thresholds.
- User and Entity Behavior Analytics (UEBA): Exabeam’s platform is particularly strong in UEBA, providing a complete picture of user sessions and lateral movement within the attack chain. It learns normal user credential activities and access characteristics, automatically comparing incoming data to these norms to expose anomalous activity.
- Integration with SIEM and Log Management: Exabeam Advanced Analytics can be integrated with existing SIEM and log management systems, such as Microsoft Sentinel, to enhance their capabilities with advanced analytics and automation. This integration allows for broader insights, automated workflows, and accelerated threat detection, investigation, and response (TDIR).
- Exabeam Copilot: The platform includes Exabeam Copilot, a generative AI assistant that provides automated insights into complex threats and suggests actionable next steps. This feature simplifies TDIR processes and makes it easier for analysts to execute complex queries without advanced technical knowledge.
Potential Alternatives and Comparisons
Juniper Networks AI-Native Networking Platform
- Juniper’s platform unifies campus, branch, and data center networking operations using a common AI engine and the Mist Marvis Virtual Network Assistant (VNA). It focuses on ensuring reliable, measurable, and secure connections for all devices, users, applications, and assets. While it excels in network operations, it does not have the same level of UEBA and TDIR capabilities as Exabeam.
Nile AI Services Platform
- Nile offers an AI services platform that automates network design, configuration, and management. It includes AI-based network design, automated network deployment, and AI-powered network monitoring and operations. Nile’s focus is more on network infrastructure and automation rather than advanced security analytics and UEBA.
LogicMonitor, Auvik, and NinjaOne
- These tools are more focused on network monitoring and management rather than security analytics. LogicMonitor, Auvik, and NinjaOne use AI for anomaly detection, predictive analytics, and automating routine network tasks. While they are excellent for network performance and issue prevention, they do not offer the same level of security-focused analytics and incident response capabilities as Exabeam.
Summary
Exabeam Advanced Analytics stands out with its strong UEBA capabilities, advanced threat detection and response features, and seamless integration with existing SIEM and log management systems. For organizations primarily concerned with network performance and automation, tools like Juniper Networks, Nile, LogicMonitor, Auvik, or NinjaOne might be more suitable. However, for those needing deep security analytics and incident response capabilities, Exabeam’s unique features make it a compelling choice.
Exabeam Advanced Analytics - Frequently Asked Questions
Here are some frequently asked questions about Exabeam Advanced Analytics, along with detailed responses:
What is Exabeam Advanced Analytics?
Exabeam Advanced Analytics is a behavioral analytics platform that automatically links and analyzes user and entity activity to inform security analysts about potential threats and guide remediation efforts. It operates on top of existing SIEM and log management technologies, enhancing threat detection, incident prioritization, and response efficiency.
How does Exabeam Advanced Analytics collect and process data?
Exabeam Advanced Analytics uses a two-layer approach. The first layer involves collecting data from log sources and external context data sources, normalizing and enriching the data with contextual information about users and assets. The second layer processes this data through the Analysis Engine and Exabeam Stateful User Tracking technology, connecting user activities across multiple accounts, devices, and IP addresses, and scoring anomalous access behavior.
What technologies does Exabeam Advanced Analytics use to identify anomalies?
Exabeam Advanced Analytics employs statistical modeling to profile the behaviors of network entities and machine learning for context estimation, such as distinguishing between users and service accounts. It also uses Stateful User Tracking to connect user activities and update risk scores based on anomaly detection and external data sources.
Can Exabeam Advanced Analytics integrate with existing security tools?
Yes, Exabeam Advanced Analytics can integrate with existing SIEM and log management technologies. It can ingest logs from SIEM systems or directly from data sources via Syslog, providing a comprehensive assessment of threats without the need for extensive additional infrastructure.
How does Exabeam Advanced Analytics present and manage incident data?
Exabeam Advanced Analytics places all user credential activities and characteristics on a timeline with scores assigned to anomalous access behavior. Traditional security alerts are also scored, attributed to identities, and placed on the activity timeline. This helps security analysts visualize and prioritize incidents more effectively.
What are the key features of the Exabeam Security Operations Platform that support Advanced Analytics?
Key features include correlation rules to identify and escalate anomalies, collectors to gather data from on-premises and cloud sources, a log stream to process logs rapidly, an Outcomes Navigator for actionable recommendations, automation management for incident resolution, and a Threat Center for unified threat detection and response.
How does Exabeam Advanced Analytics handle historical and new log data?
Exabeam Advanced Analytics allows customers to rapidly deploy and analyze historical logs as well as new log sources that were previously cost-prohibitive to send to their SIEMs. This flexible data handling delivers a fast time to value.
What is the role of AI and automation in Exabeam Advanced Analytics?
AI and automation are central to Exabeam Advanced Analytics. The platform uses AI-driven analytics to detect anomalies, automate incident resolution with no-code playbooks, and provide scalable security operations. Automation streamlines incident response and enhances the efficiency of security operations.
Can Exabeam Advanced Analytics be deployed as a standalone solution or as part of a larger platform?
Exabeam Advanced Analytics can be deployed either as a standalone solution or as part of the larger Exabeam Security Intelligence Platform, which includes additional tools like Exabeam Log Manager and Incident Responder for full end-to-end coverage.
How does Exabeam Advanced Analytics enhance security analyst productivity?
Exabeam Advanced Analytics reduces the manual effort security analysts spend on investigations by automatically stitching together event timelines, including both normal and abnormal behavior, before flagging potential threats. This increases productivity and efficiency in threat detection and response.
What kind of support does Exabeam Advanced Analytics offer for threat intelligence?
Exabeam Advanced Analytics integrates with the Exabeam Threat Intelligence Service, which provides threat intelligence feeds and context tables. This integration helps in identifying and responding to known threats more effectively.
Exabeam Advanced Analytics - Conclusion and Recommendation
Final Assessment of Exabeam Advanced Analytics
Exabeam Advanced Analytics stands out as a formidable solution in the AI-driven security operations category, particularly for organizations seeking to enhance their threat detection, investigation, and response capabilities.Key Benefits
Comprehensive Threat Detection
Exabeam Advanced Analytics uses a proprietary Session Data model to automatically link and analyze user and entity activity, identifying potential threats by stitching together event timelines that include both normal and abnormal behavior. This approach is especially effective against modern cyber-threats such as credential-based attacks, insider threats, and ransomware.
Integration and Flexibility
The platform seamlessly integrates with major SIEM solutions, including Splunk, and can ingest logs directly from various data sources via Syslog. This flexibility allows organizations to leverage their existing log data and workflows, providing a quick time-to-value without the need for extensive setup or professional services.
Enhanced Productivity
By automating the creation of session timelines and prioritizing security alerts, Exabeam Advanced Analytics significantly reduces the manual effort required by security analysts, thereby increasing their productivity and efficiency. Features like Exabeam Copilot, a generative AI assistant, further streamline SOC workflows by providing automated insights and suggesting actionable next steps.
Advanced Analytics and Automation
The platform includes features such as dynamic peer grouping, daily activity change detection, and personal email detection, which help in identifying complex anomalies and reducing false positives. Additionally, the Machine Learning SDK allows organizations to leverage their own data science algorithms, enhancing the behavioral detection capabilities.
Who Would Benefit Most
Exabeam Advanced Analytics is particularly beneficial for:Large Enterprises
Organizations with complex IT infrastructures across various industries, such as finance, healthcare, and technology, can significantly benefit from the advanced threat detection and response capabilities.
Security Professionals
Security analysts, incident responders, and SOC teams will find the platform invaluable for streamlining their security operations and improving their overall efficiency.
Managed Security Service Providers (MSSPs)
MSSPs can leverage Exabeam’s solutions to enhance their threat detection and response services for their clients.
Government Agencies
Federal, state, and local government agencies can use Exabeam Advanced Analytics to safeguard critical infrastructure and sensitive information from cyber attacks.