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#2734 Slight grammatical improvements following PR

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Archer.Bowen
2024-07-19 12:21:16 +01:00
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@@ -41,13 +41,13 @@ Scenarios can be constructed to reflect network / system laydowns consisting of
All nodes can be configured to contain applications, services, folders and files (and their status).
Traffic flows between services and applications as directed by an ‘execution definition,’ with the traffic flow on the network governed by the network equipment (switches, routers and firewalls) and the ACL rules and routing tables they employ.
Traffic flows between services and applications as directed by an ‘execution definition’ with the traffic flow on the network governed by the network equipment (switches, routers and firewalls) and the ACL rules and routing tables they employ.
Highlights of PrimAITE’s training and evaluation capability are:
- The scenario is not bound to a representation of any platform, system, or technology;
- Fully configurable (network / system laydown, green pattern-of-life, red personas, reward function, ACL rules for each device, number of episodes / steps, action / observation space) and repeatable to suit the requirements of AI agents;
- Can integrate with any Gymnasium / Ray RLlib compliant AI agent .
- Can integrate with any Gymnasium / Ray RLlib compliant AI agent.
PrimAITE provides a number of use cases (network and red/green action configurations) by default which the user is able to extend and modify as required.