AI/ML-powered fraud prevention and risk decisioning across every channel, transaction and customer journey — scored, decided and acted on before the money moves.
Turn fragmented risk signals into a unified view of fraud.
Apply AI/ML, behavioural intelligence and contextual risk scoring to every transaction and interaction.
Detect emerging threats earlier. Decide with confidence. Act in real time.
A unified lifecycle spanning detection through governance — not a patchwork of point tools.
Identify suspicious signals in real time across every channel.
Apply rules, AI/ML models and risk intelligence to every event.
Take the appropriate intervention — automatically, in the moment.
Manage alerts, cases and investigations from one workspace.
Monitor, report, audit and comply with confidence.
Where BANKiQ differentiates from a conventional rules-based FRM platform.
Supervised and unsupervised models score every event alongside the rules engine, retrain on confirmed fraud and disposition feedback, and can ingest externally trained models so in-house data science teams keep their own pipelines.
Rolling behavioural profiles per customer, account, device and beneficiary establish what normal looks like — amount bands, timing, geography, payee history — so a deviation is scored in-flight rather than found in a next-day report.
Device, identity, behaviour, network and payment signals collapse into a single composite score with the contributing factors attached, so analysts and regulators can see exactly why a transaction was approved, challenged or blocked.
Inbound events are enriched with device fingerprint, SIM and telecom signals, IP and geo reputation, beneficiary history and consortium intelligence before scoring, turning a thin payment message into a decision-grade context object.
Risk teams author, simulate and release scenarios themselves through a DSL-backed no-code builder, with pre-packaged typologies for UPI, card, mule and lending fraud available on day one and shadow-mode testing before any rule goes live.
A single decisioning core spanning every product line and customer touchpoint.
Architecture decisions made for CTOs, CIOs and enterprise IT teams.
Decisioning capability designed for sub-100ms response.
Tested at 750+ TPS with linear performance scaling.
Connect across banking ecosystems and existing infrastructure.
Full data-residency control, wherever you need it deployed.
Deployed across leading Banks and Financial Services companies for real-time fraud risk management.
Unifying fraud monitoring across digital, card and branch channels under a single risk view.
Deployed BANKiQ's real-time decisioning and case management to consolidate previously siloed fraud controls.
Managing fraud risk at scale across high-volume transaction processing and platform partnerships.
Enterprise-grade throughput and rules configuration to keep pace with transaction growth.
Establishing real-time fraud detection and intervention from day one of digital operations.
Rapid deployment of BANKiQ's core decisioning engine across priority digital channels.
Decisions in milliseconds, not minutes.
Adaptive models, not static rules alone.
One risk view across every product and channel.
Built for bank-scale reliability and security.
Deployment flexibility — your infrastructure, your choice.
Aligned with evolving compliance mandates.
Continuous visibility across risk and operations.
A consolidated platform, fewer point tools.
Discover how BANKiQ can help your organization detect, prevent and manage financial risk in real time.