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AI-Driven Fraud Detection & Cybersecurity Framework for ADNIC Insurance

Digital Risk & Advisory

AI-Driven Fraud Detection & Cybersecurity Framework for ADNIC Insurance

Designed a proactive AI-driven fraud detection and cybersecurity framework for ADNIC Insurance's digital customer onboarding workflows, addressing rising KYC/KYE fraud risk.

ADNIC Insurance1 min read
  • Financial Services / Insurance
  • Cybersecurity & AI Fraud Advisory

The challenge

ADNIC Insurance's digital onboarding volumes were growing rapidly, but traditional manual verification controls were unable to match the pace and sophistication of AI-driven fraud attacks. The organization needed a technically defensible framework to detect, score, and respond to fraud in real time — without disrupting legitimate customer journeys.

The engagement

Bahgat Expert conducted a cybersecurity risk assessment across digital onboarding touchpoints and designed an AI-assisted fraud detection architecture. The engagement covered KYC and KYE process mapping, threat modelling, risk scoring model design, and a phased deployment roadmap for automated fraud surveillance.

What was built
  • Cybersecurity risk assessment of digital onboarding systems
  • AI fraud detection architecture design
  • KYC/KYE process security framework
  • Automated risk scoring model specification
  • 3-phase deployment and monitoring roadmap

Outcome

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