Rapid7 Next-Gen SIEM Features

Response (8)

Resolution Automation: Diagnose and resolve incidents without the need for human interaction.
Resolution Guidance: Guide users through the resolution process and give specific instructions to remedy individual occurrences.
System Isolation: Cuts off network connection or temporarily inactivate applications until incidents are remedied.
Threat Intelligence: Gathers information related to threats in order to gain further information on remedies.
Incident Investigation: Analyzes incidents, correlates related events, and determines the scope and impact of attacks.
Incident Alerts: Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Response Orchestration: Integrates additional security tools to automate security and incident response processes.
Response Automation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly

Records (2)

Management (7)

Incident Alerts: Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Incident Case Management: Ability to track incidents, tasks, evidence, and investigation progress within a structured case.
Workflow Management: Administrators can organize workflows to guide remedies to specific situations incident types.
Extensibility: Allows for customized support for hybrid environments
Workflow Automation: Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.
Unified Visibility: Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.
API: Application programming interface that allows for integration with other systems/databases

Network Management (14)

Activity Monitoring: Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.
Asset Management: Keeps records of each network asset and its activity. Discovers new assets accessing the network.
Log Management: Provides security information and stores the data in a secure repository for reference.
Network Monitoring: Tracks and makes accessible data on the health of servers and other network components.
Server Monitoring: Continuously scan servers on a designated network to monitor health and search for any irregularities or failures
File Integrity Monitoring: Validating the integrity of an operating system, application, and files by monitoring for probable changes, tempering, or fraud.
Real-Time Monitoring: Active monitoring of systems, applications, or networks
User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks
Endpoint Management: Track status, assign actions, and control access to systems for devices within the organization
Compliance Management: Track and manage adherence to policies for any service, product, process, or supplier
Incident Management: Manage and track all disruptions and incidents
Vulnerability Management: Detect (and block) vulnerabilities and threats in your applications based on vulnerability information
Policy Management: Create, manage, and track policies and procedures within an organization
Event Logs: A chronological record of actions or occurrences within a network, software, or process

Incident Management (7)

Event Management: Alerts users of incidents and allows users to intervene manually or triggers an automated response.
Automated Response: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Incident Reporting: Documents cases of abnormal activity and compromised systems.
Real-Time Reporting: Active reporting of data and metrics
Incident Logs: Information on each incident is stored in databases for user reference and analytics.
Incident Alerts: Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Incident Reporting: Produces reports detailing trends and vulnerabilities related to their network and infrastructure.

Security Intelligence (5)

Threat Intelligence: Stores information related to common threats and how to resolve them once incidents occur.
Vulnerability Assessment: Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.
Behavioral Analytics: Track and analyse user behavior within a system or network
Data Examination: Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.
Real-Time Data: Receive data and information in real time

Automation (4)

Metadata Management: Indexes metadata descriptions for easier searching and enhanced insights
Artificial Intelligence & Machine Learning: Facilitates Artificial Intelligence (AI) or Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Response Automation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Continuous Analysis: Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Functionality (4)

Multi-Network Capability: Provides monitoring capabilities for multiple networks at once.
Anomaly Detection: Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.
Network Visibility: Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.
Scalability: Provides features to allow scaling for large organizations.

Analysis (8)

Continuous Analysis: Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Behavioral Analysis: Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns and fraud indicators.
Data Context: Provide insights into why trends are occurring and what issues could be related.
Activity Logging: Monitors, records, and logs both real-time and post-event activity.
Incident Reporting: Produces reports detailing trends and vulnerabilities related to their network and infrastructur
Network Visibility: Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.
Metadata Enrichment: Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Metadata Management: Indexes metadata descriptions for easier searching and enhanced insight

Detection (6)

Anomaly Detection: Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.
Incident Alerts: Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Activity Monitoring: Monitors the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.
Multi-Network Monitoring: Provides monitoring capabilities for multiple networks at once.
Asset Discovery: Detect new assets as they enter a network and add them to asset inventory.
Anomaly Detection: Constantly monitors activity related to user behavior and compares activity to benchmarked patterns

Detection & Response (5)

Response Automation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Threat Hunting: Facilitates the proactive search for emerging threats as they target servers, endpoints, and networks.
Rule-Based Detection: Allows administrators to set rules specified to detect issues related to issues such as sensitive data misuse, system misconfiguration, lateral movement, and/or non-compliance.
Real-Time Detection: Constantly monitors system to detect anomalies in real time.
Threat Response: Identifying, analyzing, and mitigating security issues and taking appropriate action to protect systems and data from potential harm

Analytics (3)

Threat Intelligence: Stores information related to common threats and how to resolve them once incidents occur.
Artificial Intelligence & Machine Learning: Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Data Collection: Collects information from multiple sources to cross reference and build contextual to correlate intelligence.

Generative AI (3)

Agentic AI - Security Information and Event Management (SIEM) (4)

Agentic AI - User and Entity Behavior Analytics (UEBA) (4)

Agentic AI - Extended Detection and Response (XDR) Platforms (3)

Services - Network Detection and Response (NDR) (1)

Services - Extended Detection and Response (XDR) (1)

Additional Functionality (73)

SSL Security: Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access
HIPAA Compliant: Compliant with HIPAA, which sets standards for sensitive patient data protection
API: Application programming interface that allows for integration with other systems/databases
Threat Response: Identifying, analyzing, and mitigating security issues and taking appropriate action to protect systems and data from potential harm
Endpoint Protection: Protect users working remotely and provide secure environments for personal devices to access company programs
Maintenance Scheduling: Schedule predetermined or ad hoc maintenance services and labor requests
Third-Party Integrations: Set up connections to third-party platforms to improve business processes
Security Auditing: Systematic evaluation of the security of a company's overall security system and situation
Application Security: Identify and respond to security threats to developed applications
Encryption: Convert data into a code for security
Network Security: Prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources
Real-Time Reporting: Active reporting of data and metrics
AI Copilot: A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data
Authentication: Verify the identity of users/devices to enable secure access
Financial Data Protection
Anti Virus: Prevents, detects and removes malware
Secure Data Storage: Securely stores data to prevent data loss or breaches
Virus Definition Update
Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities
VPN: Extend virtual private network over public networks to enable protected information exchange
Audit Trail: A record of all activities within the system, including user access, changes made, etc.
Anti Spam: Techniques to prevent and filter unwanted or unsolicited email spam from reaching a user's inbox
Access Controls/Permissions: Define levels of authorization for access to specific files or systems
Data Visualization: Graphical representation of data
Alerts/Escalation: System alerts about the need to escalate an issue or request
Data Security: Protect sensitive data for digital privacy
Real-Time Notifications: Notifications that are delivered to users as soon as an event occurs
Audit Trail: A record of all activities within the system, including user access, changes made, etc.
Application Security: Identify and respond to security threats to developed applications
Risk Analysis: Analyze potential risks across the organization
AI Copilot: A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Data Import/Export: Import and export data to and from software applications
Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
Prioritization: Arrange tasks based on the level of priority or urgency
Security Auditing: Systematic evaluation of the security of a company's overall security system and situation
Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria
Compliance Tracking: Track and report regulatory data to either internal management or external stakeholders
Generative AI: Use AI to generate content in the form of text, images, videos, etc.
API: Application programming interface that allows for integration with other systems/databases
Third-Party Integrations: Set up connections to third-party platforms to improve business processes
Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities
Data Visualization: Graphical representation of data
Mobile Access: Access software remotely via mobile devices
IT Asset Management: Managing inventories and tracking changes to hardware and software configurations
Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data
Data Import/Export: Import and export data to and from software applications
Encryption: Convert data into a code for security
Remediation Management: Identify and orchestrate execution of actions needed to restore systems to optimal conditions
Root Cause Analysis: Identify and analyse the reasons behind accidents
Customization: Create labels for products that contain required information such as colors, sizes, dates, etc.
Workflow Management: Create, design and manage workflows for repetitive tasks
Incident Management: Manage and track all disruptions and incidents
User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks
Behavioral Analytics: Track and analyse user behavior within a system or network
Ransomware Protection: Protects systems from ransomware attacks and mitigates attack risks
Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities
AI Copilot: A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Data Security: Protect sensitive data for digital privacy
Authentication: Verify the identity of users/devices to enable secure access
Firewalls: Monitor and control network/web traffic based on predetermined rules, protecting against unauthorized access and threats
Collaboration Tools: Provides a channel for team members to share media files, communicate, and work together
Endpoint Protection: Protect users working remotely and provide secure environments for personal devices to access company programs
Cloud Application Security: Identify and respond to security threats to cloud applications
Third-Party Integrations: Set up connections to third-party platforms to improve business processes
Access Controls/Permissions: Define levels of authorization for access to specific files or systems
Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software
Risk Management: Process of identifying, evaluating, mitigating, addressing and reporting on potential risks or uncertainties
Generative AI: Use AI to generate content in the form of text, images, videos, etc.
Network Scanning: Scanning networks to identify security threats
Vulnerability Management: Detect (and block) vulnerabilities and threats in your applications based on vulnerability information
Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria