AI at Ektar
AI for Banking Security
Fight AI fraud with AI defence
The 1,210% surge in AI-enabled fraud in 2025 was not caused by better criminals. It was caused by better tools — deepfakes, synthetic identity generation, AI-assisted document forgery, and automated vulnerability probing. Rules-based fraud engines cannot keep pace. The only credible response is AI-native defence.
ekVerify — AI-assisted fraud pattern detection
AI models trained on fraud patterns augment the cryptographic verification layer — identifying document anomalies that exist even before a signature check, providing an additional signal layer for borderline and novel forgery techniques.
RASP SDK — Behavioural analysis at runtime
The SDK uses behavioural analysis to distinguish legitimate user sessions from malware-controlled ones in real time — analysing interaction patterns, touch dynamics, and process behaviour to identify threats that static rules cannot detect.
Fraud & Risk Engine (coming soon)
The strategic destination of the platform. An ML engine that ingests the full signal stack — device health, app integrity, SIM confidence, document trust, authentication behaviour, transaction context — and produces a real-time risk decision on every banking transaction. Improves continuously as signal volume grows.
AI in How We Build
Our engineering teams use AI-assisted development practices to accelerate delivery and maintain high code quality. Human engineers make every design decision, security call, and integration choice — AI accelerates the well-understood tasks so engineers can focus on the architecture and compliance thinking that banking clients depend on.
Responsible AI
We design our AI systems with transparency and accountability as non-negotiable principles:
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AI operates within the regulatory frameworks of each market we serve
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– AI produces risk signals; human-defined rules and bank teams make the final call on customer-facing decisions
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– AI-assisted engineering is subject to human review at every stage
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– We do not name specific AI tools publicly — tools change; our principles do not