Marisma Patterns is a comprehensive framework designed for the sustainability and management of cybersecurity risks. It provides a base framework that can be extended with specific patterns tailored to various application domains. The goal is to offer a reusable and adaptable methodology for assessing and managing risks in diverse environments.
The primary purpose of Marisma Patterns is to facilitate dynamic and adaptive risk management. By utilizing a base framework and extending it with specific patterns, organizations can address the unique risks and requirements of different domains, ensuring comprehensive and effective risk management.
- Reusable Meta-pattern: A generic structure that defines the main elements and interdependencies of a risk analysis and management (RAM) process.
- Supporting Method: Guides the entire process of risk assessment and management.
- Cloud-based Tool: Automates data management and risk analysis methods, making the process more efficient and effective.
Marisma Patterns can be extended with specific patterns to cater to different domains. Here are some examples:
- Focuses on managing cybersecurity risks in CPS, which include engineered networks of physical and computational components.
- Incorporates elements such as safety, security, privacy, reliability, and resilience.
- Aligns with main CPS frameworks like those defined by NIST and ENISA.
- Tailored for Big Data environments, focusing on the unique risks associated with large-scale data processing and storage.
- Supports dynamic learning and knowledge reuse to adapt to evolving data landscapes.
Organizations can implement Marisma Patterns by:
- Adopting the Base Framework: Utilize the meta-pattern and supporting method to establish a foundational risk management process.
- Extending with Specific Patterns: Customize the framework with domain-specific patterns to address unique risks and requirements.
- Using the Cloud-based Tool: Leverage the eMARISMA tool to automate and streamline risk assessment and management tasks.