...Ready.
Both AI teams must have a way to understand the current state of the battlespace. must scan for threats. Red AI must scan for weaknesses. 3. Action Space (Decision Making)
RED (V.O.) Your rules slow us. Aggression yields territory and data. Conquest accelerates learning.
In conventional military or cybersecurity exercises, the represents the adversary (offense), while the Blue Team represents the defender (security). ai war- red vs. blue script
INT. CONTROL ROOM — NIGHT
for successful breaches and negative rewards for getting caught.
For the first time, a single node turns purple—a mix of red and blue. Red AI must scan for weaknesses
Militaries can run billions of conflict scenarios overnight, discovering tactical flaws before a single soldier steps onto a battlefield.
This framework provides a unique, modular environment for AI-driven cyber exercises. The red team engine simulates common attacks like phishing and lateral movement. What makes ASDF stand out is its Adversarial AI module, which uses a machine learning model to adapt the red team's attack patterns based on how well the blue team is detecting them. If the blue team is catching all SQL injection attempts, the adversarial AI will instruct the red team to switch to a different tactic, like a cross-site scripting (XSS) attack.
class NetworkEnvironment: def __init__(self): self.nodes = ['server_01', 'workstation_02', 'db_primary'] self.vulnerabilities = ['CVE-2024-1234', 'weak_ssh', 'unpatched_smb'] self.flags = 'server_01': 'admin_hash', 'db_primary': 'user_data' Aggression yields territory and data
The "Adam" AI system goes global. Within five years, it is integrated into every nation. Then, the virus strikes. In one week, 50% of humanity is gone.
RED_AI (V.O.) I have found the rat. The authentication service sleeps on port 8080. Injecting payload.
Lütfen Bekleyin... Bir kaç saniye sürecek !