TECHNOLOGY and on the results of decisions that it enacts ,” says Samrat Chatterjee , a data scientist who presented the team ’ s work . “ Deep reinforcement learning holds great potential in this space , where the number of system states and action choices can be large .”
“ Our goal is to create a defence agent that can learn the most likely next step of an adversary then respond ”
SAMRAT CHATTERJEE CHIEF DATA SCIENTIST , PACIFIC NORTHWEST NATIONAL LABORATORY
The outcome of this research offers promise for a role for autonomous AI in proactive cyber defence . The development of such a simulation environment for experimentation is itself a win , as it offers researchers a way to compare the effectiveness of different AI-based defensive methods under controlled test settings .
By creating a dynamic attack-defence simulation environment , they could test multistage attack scenarios involving different adversaries , allowing them to compare the effectiveness of different AI-based defensive methods .
DRL helps respond to cyberattacks Deep reinforcement learning ( DRL ) is emerging as a game-changing decisionsupport tool for cybersecurity experts . Unlike other forms of AI , which are limited to detecting intrusions or filtering spam messages , DRL allows defenders to learn ,
aimagazine . com 103