Use Cases

Operationalizing Adversarial AI Testing for 5G & 6G Networks

GenShield AI powers critical assurance workflows across telecom and regulated infrastructure. Explore how we automate threat simulation, resilience scoring, and explainable reporting inside the ARMOR framework for Open RAN deployments.

ARMOR Framework Intelligence Layer

GenShield AI was deployed as the intelligence layer of the ARMOR framework (Adversarial Resistance and Model Optimization for Robustness) to evaluate and strengthen the resilience of AI models used in 5G and 6G Open RAN environments.

Neural networks that power intrusion detection and traffic classification xApps were subjected to full lifecycle testing. GenShield orchestrated data preparation, attack simulation, metric capture, and mitigation recommendations so operators can validate compliance before pushing models into live RAN slices.

Coverage

Evasion, membership inference, model inversion, and poisoning attack paths.

Outcome

Robustness scoring and prioritized remediations aligned to telecom assurance KPIs.

ARMOR framework with GenShield AI intelligence layer

Automated Adversarial Pipeline

Adversarial Attack Engine in Action

Our ARMOR platform for adversarial testing was used to enhance the resilience of Open RAN xApps by subjecting live models to targeted attack simulations.

GenShield AI orchestrates the end-to-end adversarial workflow from scenario templates and traffic replay through to mitigation suggestions aligned with telecom assurance KPIs.

  • Scenario templates tuned for evasion, membership inference, model inversion, and poisoning paths.
  • Automated differentiation between benign and malicious traffic behaviour across RAN datasets.
  • Repeatable benchmarking that proves readiness before deployment into production slices.
ARMOR adversarial attack engine diagram
Figure: ARMOR adversarial attack engine used to harden Open RAN xApps.

Bring Adversarial Assurance to Your AI Estate

See how GenShield AI can stress test, explain, and harden the machine learning models that power your network and critical services.

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