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PRECISE: AI-Supported Security Chaos Engineering Framework for Resilient Software-Intensive Systems

Reference number
Coordinator RISE Research Institutes of Sweden AB
Funding from Vinnova SEK 3 500 000
Project duration October 2024 - September 2026
Status Ongoing
Venture Digital infrastructure and communication
Call Digital infrastructure and communication - spring 2024

Purpose and goal

PRECISE aims to strengthen the security and resilience of software-intensive systems and digital infrastructures. The project achieves this by developing an AI-supported security chaos engineering framework for experimenting the cybersecurity aspects of systems. The project goals are to: (1) develop an AI-supported framework for chaos testing, focused on cybersecurity and resilience, (2) integrate the framework into DevSecOps, and (3) publish the framework as open source to increase its societal benefit.

Expected effects and result

The insights and best practices gained from implementing this project will be generalised and applied to other industries. Indeed, this project’s planned impact extends beyond its immediate partners and participants, potentially catalysing transitive change within the Swedish industrial sphere. Moreover, by openly sharing project outcomes, the project aims to contribute to Sweden’s ability in creating and leveraging resilient digital infrastructure and communication effectively, thus paving the way for a more secure digital future.

Planned approach and implementation

This project employs an iterative design science research methodology and includes seven major activities (i.e., work packages): (1) requirement gathering and planning, (2) state of the art and regulation analysis, (3) framework design and analysis, (4) implementation and integration, (5) framework evaluation and refinement, (6) exploitation, and (7) project management/coordination and dissemination.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 15 October 2024

Reference number 2024-01718