Design a Cybersecurity Incident Response System

Functional Requirements

1. Incident Detection

   • Ability to detect and log potential security incidents in real-time.
   • Integration with various data sources such as network traffic, system logs, and application logs.

2. Incident Analysis

   • Automated analysis of incidents to determine severity and impact.
   • Support for manual analysis by cybersecurity experts.

3. Incident Prioritization

   • Mechanism to prioritize incidents based on severity, impact, and business criticality.

4. Incident Response

   • Automated response actions for certain types of incidents (e.g., blocking IPs, isolating systems).
   • Support for manual response actions by cybersecurity teams.

5. Incident Reporting

   • Generation of detailed incident reports for stakeholders.
   • Real-time dashboards for monitoring ongoing incidents.

6. Collaboration Tools

   • Tools to facilitate communication and collaboration among incident response teams.

7. Audit and Logging

   • Comprehensive logging of all actions taken during incident detection, analysis, and response.

8. Integration with Existing Systems

   • Seamless integration with existing security tools and infrastructure (e.g., SIEM, firewalls, IDS/IPS).

9. Scalability

   • Ability to handle a large number of incidents and data sources without performance degradation.

10. User Management

    • Role-based access control to ensure only authorized personnel can access sensitive information.

Non-Functional Requirements

1. Performance

   • Real-time processing of incident data with minimal latency.
   • Fast retrieval and analysis of historical incident data.

2. Reliability

   • High availability to ensure the system is operational 24/7.
   • Fault tolerance to handle hardware or software failures gracefully.

3. Security

   • Strong authentication and authorization mechanisms to protect sensitive data.
   • Encryption of data at rest and in transit.

4. Scalability

   • Horizontal scalability to accommodate increasing data volumes and user loads.

5. Interoperability

   • Compatibility with a wide range of data formats and protocols.

6. Extensibility

   • Modular architecture to allow easy addition of new features and integrations.

7. Resilience

   • Ability to recover quickly from disruptions and continue operations.

8. Data Integrity

   • Ensuring the accuracy and consistency of data throughout the system.

9. Latency

   • Low latency in incident detection and response to minimize potential damage.

10. Scalability

    • Ability to scale up or down based on the volume of incidents and data processed.