Real time fraud detection with AlloyDB AI @googlecloudtech
Real time fraud detection with AlloyDB AI  @googlecloudtech
Uploaded May 2026 | Updated September 2026, 2 weeks ago
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Vector search is capable of far more than just standard "search" queries. In this demo, Paul Ramsey, AlloyDB Product Manager at Google, demonstrates how AlloyDB AI powers a high velocity fraud detection engine for a fictional global investment firm.

Key highlights include:
* Massive scale: Generating millions of embeddings in minutes using ai.initialize_embeddings(). ScaNN
* Indexing: Why Google’s ScaNN is the superior choice for financial streams, using 4x less memory than HNSW and scaling to 10B+ vectors
* The hybrid approach: Using the ai.if() function to break the tie between false positives and false negatives by bringing Gemini’s natural-language reasoning directly into the database.

Stop choosing between customer convenience and security. With AlloyDB, you get a high speed inference engine that protects your business in real time.

Watch more Understanding AlloyDB → https://goo.gle/UnderstandingAlloyDB
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Speaker: Paul Ramsey
Products Mentioned: AlloyDB for PostgreSQL
Real time fraud detection with AlloyDB AIGoogle AI Studios multimodal powers (app builds, real-time streaming, and more!)How to create AI agents with Agent Development Kit (ADK)How to deploy an AI agent to Cloud Run (step by step)Build connected AI: Orchestrate tools and agents with registries and ADKConverting Oracle data types to PostgreSQLHow Model Context Protocol (MCP) actually worksMake AI agent execute 80% faster ⏱️🏆Oracle packages: From black box to PostgreSQLProtecting sensitive data in AI appsFrom pilot to production: Scaling Gemini with proven practicesFoundations of Secure MCP: Architecture and Threat Model
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Real time fraud detection with AlloyDB AI

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