July 2024
DARPA CASTLE program awards contracts to train reinforcement-learning agents for network defence
DARPA's CASTLE program aims to build a toolkit that instantiates realistic network environments and trains AI agents, using reinforcement learning, to harden networks against advanced persistent threats. The program page says it will publicly release toolkit-generated datasets as defensive benchmarks; public contract records show awards under solicitation HR001123S0002 in mid-2024.