Engineering for financial institutions where compliance is architecture.
AiRAT builds SIEM/XDR, governed AI, and data platforms for FinTech and banking environments under UAE Central Bank, RBI, and EU regulatory frameworks.
Engineering problems FinTech teams face
Regulatory compliance built in, not bolted on
UAE Central Bank (CBUAE), RBI, MAS, and EU frameworks (DORA, GDPR) impose requirements on data residency, audit trails, and incident response timelines. We treat these as first-class engineering constraints.
Alert volume that hides real threats
Financial institutions generate high-volume security telemetry across trading systems and customer-facing applications. Without correlation and enrichment, analysts drown in noise and real incidents hide in the queue.
AI adoption blocked by governance gaps
Legal, risk, and compliance teams block AI rollouts when retrieval quality, PII handling, and audit trails are unclear. We build governance-first AI systems where legal and security teams can sign off before models touch customer data.
Search and data latency at trading scale
Institutional trading, risk monitoring, and customer intelligence need sub-second query responses across petabyte-scale data under peak load. Infrastructure that holds during volatility spikes cannot be addressed after the fact.
What we deliver for FinTech
SIEM / XDR platforms
Threat detection, correlation, and incident response for financial institution SOC teams — with compliance evidence trails built in.
Explore security services →Governed AI & LLM systems
RAG pipelines for compliance document retrieval, regulatory intelligence, and customer intelligence — with PII boundaries and audit trails.
Explore AI services →Data platforms & search
Real-time trading data pipelines, risk aggregation, and OpenSearch-scale search for financial data at institutional velocity.
Explore data services →FinTech & banking — common questions
Which regulatory frameworks does AiRAT have experience with?
We have delivered production systems under UAE Central Bank (CBUAE) digital banking frameworks, RBI IT governance requirements, MAS Technology Risk Management guidelines, DORA, and GDPR. Data residency is a first-class engineering requirement.
Does AiRAT build systems for trading firms and exchanges?
Yes — we have delivered platforms for institutional cryptocurrency trading (MPC custody, compliance onboarding, high-throughput matching engine) and financial data pipelines.
How does AiRAT handle PII and sensitive financial data?
PII handling, data residency, and access controls are designed into the architecture before any pipeline is built: least-privilege access, encryption at rest and in transit, PII detection in AI pipelines, and immutable audit logging.
How long does a FinTech security or AI programme take?
A SIEM/XDR deployment for a mid-size FinTech SOC typically takes 12–20 weeks from architecture review to go-live. A governed RAG pipeline for compliance retrieval typically takes 8–14 weeks including evaluation harness.
Discuss your FinTech programme.
Bring a real scenario — SOC alert volume, AI governance, trading data latency, or regulatory compliance gaps. We scope the problem before discussing solutions.