---
title: "Fraud Prevention"
description: "2 posts about Fraud Prevention, summarised, each linking to the original."
---

# Fraud Prevention
> 2 posts about Fraud Prevention, summarised, each linking to the original.

## Articles

### [What is CIAM in 2026 and why does it matter?](https://yomu.fyi/post/what-is-ciam-in-2026-and-why-does-it-matter.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Ravleen Kaur
- Published: Sep 15, 2026
- Type: Explainer

CIAM has expanded beyond password storage and login-time credential checks as digital experiences include autonomous AI agents and attacks make point-in-time verification less reliable. Modern customer identity is presented as a continuous trust and control layer across web, mobile, messaging, voice, email, and AI interactions, balancing low friction with adaptive risk detection. The architecture separates an identity authority, which owns identity, federation, and authorization, from a trust orchestration layer that evaluates live signals, triggers step-up verification, adapts to mid-session risk, and records decisions. It also must define delegated authority for agents, human approval boundaries, multi-signal decisioning, explainability, consent, and identity resolution. Twilio is described as an adjacent execution layer providing Verify, Lookup, carrier intelligence, device fingerprinting, and passwordless or one-time passcode flows for high-risk moments.


### [Build a Fraud Review Agent with MongoDB Atlas and Claude Managed Agents](https://yomu.fyi/post/build-a-fraud-review-agent-with-mongodb-atlas-and-claude-managed-agent.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Published: Sep 9, 2026
- Type: Tutorial

Claude Managed Agents runs Anthropic’s Claude as a hosted agent without managing inference infrastructure. Pairing it with MongoDB Atlas provides fast access to operational and vector data through a single pymongo connection, eliminating the need for separate vector, full-text, and graph stores. This tutorial builds a human-in-the-loop fraud review agent that retrieves flagged transactions, runs four retrieval patterns (vector, full-text, hybrid, and graph) against one collection, and escalates risky cases to a human reviewer using Managed Agents’ native pause. The credential-safe integration uses host-side custom tools so the MongoDB connection string never enters the agent sandbox, keeping secrets on your side. The agent verifies a signed authorization mandate, uses $graphLookup to detect mule chains and $rankFusion for hybrid search, writes immutable verdicts and audit events back to the same cluster, and triggers durable human pauses on structuring deposits just under $5,000, wires over $50,000, and ring signals from graph traversal.