AI at Ektar

AI for Banking Security

Ektar is an AI-native company. AI is embedded in how our products work and in how our engineering team builds them.
 

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.

ekGuard 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.

ekProtect
(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:

01

AI operates within the regulatory frameworks of each market we serve

02

AI produces risk signals; human-defined rules and bank teams make the final call on customer-facing decisions

03

AI-assisted engineering is subject to human review at every stage

04

We do not name specific AI tools publicly tools change our principles do not

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