Multi-Agent Based Automation of Compromised SIM Isolation and Remediation

This agent ingests real-time streams from HLR/HSS, signaling firewalls (SS7/Diameter), and UEBA platforms to identify anomalous SIM registration patterns, location jumps, or concurrent sessions indicative of swap or cloning. It correlates these signals with threat intelligence feeds and customer behavior baselines to generate a high-confidence compromise alert, routing it to the isolation agent with a severity score and initial evidence pack.

Upon receiving a validated alert, this agent executes containment via API calls to network orchestration systems. It programs SDN controllers and PCRF policies to immediately move the compromised IMSI into a quarantined network slice or VLAN, blocking all data and voice sessions while allowing essential signaling for forensic analysis. It updates the HSS to deny new registrations and logs the enforcement action for the audit trail.

This agent handles the business and customer-facing remediation. It interacts with the carrier's BSS/OSS via APIs to: 1) flag the account for high-risk review, 2) automatically generate a replacement SIM order in the provisioning system, 3) trigger a workflow for expedited shipping or in-store pickup, and 4) apply any temporary service credits per policy. It ensures the financial and service continuity processes are initiated without manual data entry.

This agent manages all customer communication and exception routing. It drafts and sends a personalized, compliant security alert via SMS and the carrier's mobile app, providing clear instructions and a secure channel for verification. It monitors for customer acknowledgment and, if needed, escalates the case to a human fraud specialist in the CRM (e.g., Salesforce Service Cloud) with full context. All interactions are logged for compliance and experience tracking.

A compromised SIM is a direct revenue and security liability. Manual investigation and ticketing can leave a SIM active for hours or days, enabling fraud, data theft, or lateral movement. This workflow automates the full lifecycle—from detection to physical replacement—reducing the mean time to remediate (MTTR) from days to minutes. The primary financial upside comes from preventing fraudulent calls/SMS, averting subscriber churn due to security incidents, and slashing manual SOC/NOC labor per incident by over 80%.

The architecture is built around specialized, collaborating agents:

• Detection Agent: Continuously analyzes HLR/HSS registration anomalies, CDR spikes, and signaling (SS7/Diameter) irregularities from probes and firewalls.
• Validation & Enrichment Agent: Correlates the alert with threat intelligence, subscriber history, and device type to calculate a confidence score, reducing false positives.
• Orchestration Agent: The central conductor using a framework like LangGraph to manage state, call APIs, and enforce approval gates.
• Network Control Agent: Executes isolation via API calls to the PCRF/PCF for policy change or the SDN controller to move the subscriber to a quarantined network slice.
• BSS Agent: Triggers the replacement SIM order and logistics workflow within systems like Oracle BRM or Amdocs, updating the subscriber's profile.

Success depends on secure, low-latency API integration across three domains:

1. Network Control Plane: APIs from SDN/NFV orchestrators (e.g., Nokia NSP, Cisco NSO) and policy controllers (PCRF/PCF) to enforce isolation.
2. Business Support Systems (BSS): Integration with the order management and inventory modules to generate the replacement order and track fulfillment.
3. Security & Observability: Ingestion from signaling firewalls, SIEM (Splunk, Sentinel), and writing audit logs back to the SOAR platform (e.g., Palo Alto XSOAR) for case management. Each integration requires robust error handling and synchronous/asynchronous pattern design.

A phased rollout de-risks the build:

1. Phase 1 - Detection & Alerting: Implement the Detection and Validation agents, delivering high-confidence alerts to the SOC console with recommended actions. This builds trust in the AI's judgment.
2. Phase 2 - Semi-Automated Remediation: Introduce the Orchestration Agent with a mandatory human-in-the-loop approval for isolation and replacement actions. This validates the API integrations and operational procedures.
3. Phase 3 - Full Automation with Override: Enable fully autonomous execution for high-confidence, pre-defined threat patterns, while maintaining a real-time override dashboard for SOC supervisors. A 3-4 week pilot on a non-critical subscriber segment (e.g., test IoT fleet) is recommended before full production deployment.

Autonomous action on subscriber assets demands stringent controls:

• Approval Gates: Configurable rules requiring human approval based on subscriber value, incident time, or agent confidence score below a threshold.
• Rollback Procedures: Automated capability to reverse network isolation if a false positive is confirmed, restoring service instantly.
• Comprehensive Audit Trail: Every agent decision, API call, and state change must be immutably logged with a rationale, linking to the SIEM for compliance (e.g., GDPR, telecom regulations).
• Exception Routing: Failures in the BSS order flow or network API must be routed to a dedicated human-operated exception queue with full context to prevent stalled remediations.

The workflow's accuracy is gated by input data quality and system observability:

• Signal Coverage: Detection depends on complete ingestion of signaling traffic (Diameter/SS7) and HLR/HSS events. Gaps create blind spots.
• Golden Record Sync: The BSS agent must have real-time access to accurate subscriber identity and service data to trigger the correct replacement.
• Agent Telemetry: Each agent must emit metrics (confidence scores, decision latency, API success rates) to a central dashboard (e.g., Grafana) for continuous performance monitoring and model drift detection.
• Feedback Loop: Outcomes (false positives/negatives) must be fed back into the Detection Agent's models for continuous retraining, closing the operational loop.