Call for Submissions: Cyber Autonomy Gym for Experimentation (CAGE) Challenge 4
Recent advances in artificial intelligence (AI) technologies show promise for autonomous cyber operations (ACO), offering the potential for distributed, adaptive defensive measures at machine speed and scale.
Cyber is a particularly challenging domain for autonomous AI that requires further research in order to enable ACO to become an operational capability. To facilitate this AI research, the TTCP CAGE working group, are releasing the fourth CAGE Challenge to invite researchers to respond.
Our aim is to support the development of AI tactics, techniques and procedures that are associated with this challenge in order to support practical demonstrations of ACO. By encapsulating the cyber elements in the CAGE challenges, we hope to engage wider research communities who are experts in the field of AI.
CAGE Challenge 4 is a scenario where multiple autonomous agents must effectively defend a simulated industry enterprise network. This challenge introduces Multi-Agent Reinforcement Learning techniques where the agents must coordinate & communicate their strategy to effectively defend the network.
Further information can be found on the GitHub page.
Important dates
- 20 February 2024: Challenge 4 released. Development phase begins.
- 29 March 2024 (23:59 UTC): Development phase ends. Competition phase begins.
- 10 May 2024 (23:59 UTC): Competition phase ends. Final results are announced.
