IMMUNISACIN AdversarialCoevolutionaryImmuneNetwork

IMMUNIS ACIN is the world's first Adversarial Coevolutionary Immune Network — a living cyber immune system modelled on human immunology. When the body encounters a novel pathogen, it quarantines, studies, synthesises antibodies, stress-tests them against mutations, and remembers forever. IMMUNIS does this for cyber attacks. The system orchestrates 12 autonomous AI agents through a 7-stage Adaptive Immune Response pipeline. A Sesotho BEC email arrives. Information-theoretic surprise detection (KDE on LaBSE 768-dim space) classifies it as NOVEL. An RL-adaptive honeypot deploys. Agent 1 fingerprints the attack semantically. Agent 2 synthesises a detection rule. Z3 theorem prover formally verifies its correctness — mathematical proof, not confidence scores. Then the Red Agent attacks via WGAN-GP, generating adversarial evasion variants. The Blue Agent defends. An Arbiter judges. Only antibodies surviving this coevolutionary arms race earn PROMOTED status. Promoted antibodies are signed with hybrid Ed25519 + CRYSTALS-Dilithium (post-quantum) cryptography and broadcast across an epidemic gossip mesh with R₀-priority routing. Three South African municipalities become immune without ever experiencing the attack. Seven mathematical engines power the system: Generalised Pareto Distribution for actuarial risk (CVaR in ZAR), SIR epidemiological modelling, Stackelberg security games, PID immunity control, Lotka-Volterra coevolution, Markowitz portfolio optimisation, and information-theoretic surprise detection. Three models were fine-tuned on AMD Instinct MI300X (192GB HBM3) using bf16 LoRA: IMMUNIS-Sentinel (Qwen2.5-7B threat fingerprinting), IMMUNIS-Adversary (evasion generation), and IMMUNIS-Vision (QR phishing, deepfake, document forgery, steganography). All achieved 100% valid structured output vs 0% from base models. Built across 200+ files and 50,000+ lines of code in 7 days. The breach that teaches. The system that remembers.