Power financial services AI from fraud detection to regulatory compliance
Zilliz Cloud is a fully managed vector database that powers fraud detection, entity matching, and regulatory search for financial institutions â with sub-millisecond latency at transaction scale. Banks, fintechs, and asset managers use it to move beyond rule-based systems and keyword search toward AI that understands similarity and intent. Trusted by PayPal, OMERS, and global fintechs processing billions of transactions. SOC 2 Type II certified, BYOC deployment available.
AI Capabilities Powering the Next Generation of Financial Services
Financial services runs on similarity problems: is this transaction like known fraud? Is this entity on a sanctions list? Is this regulation relevant to our product? Zilliz Cloud gives compliance, risk, and engineering teams the infrastructure to answer these questions across billions of records â in milliseconds.
Catch Novel Fraud Patterns Rule-Based Systems Miss
Embed transactions as vectors and detect outliers that fall outside normal behavioral clusters â catching fraud patterns no rule has been written for. Move from 65% detection with 90% false positives to 87-94% detection with 40-60% fewer false alerts â the same approach that cut false positives by 60% at major global banks.
KYC and AML Entity Matching Across Languages and Aliases
Match 'Mohammed Al-Rahman' to 'M. Alrahman' across sanctions lists, PEP databases, and adverse media â automatically handling transliteration, nicknames, and abbreviations that string matching misses. Zigram uses Milvus for exactly this â real-time risk screening for banks and fintechs worldwide.
Search Regulations by Meaning, Not Keywords
Build RAG-powered compliance assistants that retrieve relevant provisions from across FINRA, SEC, OCC, and state regulations in seconds â even when your question uses different terminology than the regulation text. Replace hours of manual cross-referencing with semantic search that catches what keyword search misses.
Semantic Search Across Earnings Calls, Filings, and Reports
Search thousands of SEC filings, earnings transcripts, and analyst reports by meaning â surface every mention of margin pressure or supply chain risk across your entire coverage universe in seconds. OMERS and Troop use Milvus to power semantic search over financial documents and SEC data at scale.
AI-Powered Customer Service and Knowledge Retrieval
Give agents and chatbots instant access to the right product information, policies, and historical resolutions â searched by meaning, not keywords. PayPal expanded from recommendations to a multilingual customer service chatbot on Milvus, cutting handle time and improving answer consistency across channels.
Insurance Claims Matching and Duplicate Detection
Find near-duplicate claims, detect coordinated fraud rings, and benchmark new claims against similar historical cases â using text and image similarity together. Catch the paraphrased descriptions and slightly edited damage photos that exact-match systems miss entirely.
Why Zilliz?
Why leading financial institutions choose Zilliz Cloud
Financial services AI has to get three things right simultaneously: it must score transactions in under 50 milliseconds within a 200ms authorization window, it must match entities across languages, aliases, and transliterations where traditional fuzzy matching fails catastrophically â generating 95% false positives that cost the industry $274 billion annually in AML compliance alone â and it must operate within PCI-DSS, SOC 2, and data residency requirements that rule out most cloud infrastructure. Most search platforms and bolt-on vector plugins fail on at least one of these. Zilliz Cloud was purpose-built for this â which is why PayPal, OMERS, and a global fintech processing billions of transactions run their AI workloads on it, with BYOC deployment that keeps data inside their controlled environment.
100K+QPS
Score transactions in real time across global payment volumes
Fraud detection budgets are 10-50 milliseconds within a 200ms authorization window. Zilliz Cloud processes 8M+ vectors per second â powering real-time fraud scoring, sanctions screening, and transaction categorization at the throughput global payment networks demand, without queuing or batch delays.
<10msLatency
Return similarity results before the authorization window closes
When a fraud model needs to compare a transaction against billions of behavioral patterns, every millisecond counts. Zilliz Cloud delivers sub-10ms vector search at billion scale â fast enough for inline fraud scoring, real-time sanctions screening, and live compliance queries that traditional search engines cannot support.
10B+vectors
Index billions of transactions, entities, and documents in one system
Large financial institutions process billions of transactions annually, screen against millions of entities, and search across decades of regulatory filings. Zilliz Cloud supports tens of billions of vectors â your entire transaction history, entity database, and document corpus in a single searchable index.
-10xCost
Replace expensive legacy systems with purpose-built vector search
Legacy analytics platforms, enterprise SIEM tools, and premium data terminals charge tens of thousands per seat or per gigabyte ingested. Zilliz Cloud delivers semantic search and similarity matching at a fraction of these costs â purpose-built for high-dimensional AI workloads instead of bolted onto general-purpose platforms.
Hybrid search with metadata filtering
Combine vector similarity with structured filters â screen entities by country and date of birth, search regulations filtered by jurisdiction, or score transactions filtered by merchant category. Critical for financial workflows where precision and context both matter.
Multi-tenant architecture
Isolate business units, compliance functions, and client portfolios within a single deployment. Fine-grained access controls ensure data separation between trading desks, compliance teams, and client-facing applications.
Automatic and elastic scaling
Handle end-of-month reconciliation spikes, market volatility surges, and regulatory reporting deadlines without manual capacity planning. Scale up for peak processing and back down â paying only for what you use.
Range search for anomaly detection
Find all vectors within a configurable distance threshold â purpose-built for outlier detection. Flag every transaction that falls outside normal behavioral clusters, not just the top-K most suspicious.
BYOC and on-premises deployment
Data never leaves your VPC. BYOC deployment on AWS, GCP, or Azure satisfies data residency, PCI-DSS, and institutional security requirements without compromising on managed infrastructure convenience.
Enterprise-grade compliance and reliability
SOC 2 Type II certified, ISO 27001, GDPR compliant, 99.95% SLA. Business Critical plan designed for regulated industries where audit trails, encryption, and access controls are non-negotiable.
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Resources
Essential reading for financial services AI teams
Explore how banks, fintechs, and asset managers use vector search to detect fraud, match entities, and accelerate research â with real customer examples and technical guidance.