Flow: Autonomous Security Remediation (L5)

🏗️ L5 Self-Healing Cycle

graph TD
    subgraph Data [Data Plane]
        T1[Traffic Flow] --> D[Detection: Anomalous Pattern]
    end

    subgraph AI [ML Controller (Y.3172)]
        D --> A[Analysis: Threat Attribution]
        A --> Dec[Decision: Orchestration Plan]
        Dec --> Rec[Action: Policy Re-Configuration]
    end

    subgraph Verify [Post-Action Verification]
        Rec --> V[Verification: Threat Mitigated?]
        V -- No --> A
        V -- Yes --> L[Learning: Model Update]
    end
    
    L --> T1

📑 Remediation Phases

1. Detection (ML Pipeline)

• Recommendation: Y.3172 (Clause 7.2).
• Action: Real-time evaluation of the User Plane (UPF) against a pre-trained ML Baseline.
• Trigger: Anomaly detection (e.g., signaling storms or data exfiltration spikes).

2. Analysis & Decision (The 'Mind')

• Recommendation: Y.3173 (Clause 8).
• Action: The AI attributes the attack (Identity) and creates a remediation plan (e.g., "Re-slice the attacked tenant into a quarantine zone").
• Requirement: XAI (Explainable AI) must generate a decision trace.

3. Action (Autonomous Execution)

• Recommendation: Y.3181.
• Action: The SDN Controller pushes a new policy (NFV update) without human intervention.
• Security Value: Instant response to zero-day threats.

4. Learning & Retraining

• Recommendation: Y.3175.
• Action: The attack signature is used to retrain the global Model Repository (MLaaS) to protect other slices.

!TIPAudit Insight: In a Level 5 network, the Human-in-the-Loop is replaced by a Human-on-the-Loop for oversight only. Your audit should focus on the Decision Bias of the ML Controller.