Fraud prevention startup SEON has launched its new MCP server, along with two new platform capabilities, Network Detection and AI Chart Builder, further connecting its existing automation and business intelligence features.
Alongside these features, the company has introduced an AI Playbook for Risk and Compliance Teams, providing customers with a practical starting point to quickly put their MCP connection to work and supporting the adoption of these new capabilities.
Building the best command center for fraud intelligence
According to SEON, many fraud and AML teams still have a hard time putting AI to real work. Despite accessibility to tools like ChatGPT or Claude, the company argues that these teams don’t have a clean way to get their investigation data into those environments, resorting to manually copy-and-pasting transaction records and risk signals, losing context along the way, and creating security risks for their organization.
To address that, SEON says its new MCP server allows analysts to link Claude, ChatGPT, Gemini, Microsoft Copilot or any custom agent to SEON’s 900+ real-time risk signals spanning identity, device, behavioral, AML and IP data.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, chief executive officer and co-founder at SEON.
“Our job is to be the best command center for fraud, risk, and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
All signals are accessible in a single call, so the AI spends its token budget and processing time on analysis rather than pulling data from multiple systems.
Network Detection and AI Chart Builder
In its official press release, SEON highlighted the different ways customers manage their risk operations. Some prefer to run them through an agentic platform, while others favor AI embedded directly within the SEON interface.
Still others are looking for a middle ground between the two approaches. With Network Detection and AI Chart Builder, the company aims to support these different team preferences, “whether they work inside the platform or outside it.”
According to SEON, Network Detection builds on the network analysis capabilities the company released last year, including Similarity Ranking and Network Graph.
It continuously scans the last two months of transactions across devices, emails, phone numbers, and IP addresses to identify clusters that appear suspicious only when viewed together. This allows coordinated fraud rings and money laundering networks to surface before an analyst opens an alert.
Meanwhile, AI Chart Builder turns natural-language questions about a business into instant data visualizations. SEON says analysts no longer need to wait on business intelligence teams for dashboard projects, as they can simply ask a question and have the chart appear, built on live SEON data.
These join SEON’s other AI releases over the past year, including AI-assisted rule creation, scoring insights, AML screening analysis, automated case summaries, and regulatory report generation.
An AI playbook for risk teams
To help teams get started quickly, SEON is also releasing an AI Playbook for Risk and Compliance Teams.
The playbook offers a practical guide to connecting AI tools to SEON and building investigation workflows that match how analyst teams actually operate.
It ships with pre-built agentic skills, including a fraud analyst daily briefing and a decline spot-check, both compatible with SEON’s MCP server and ready to deploy on day one.
The MCP server, Network Detection, AI Chart Builder, and AI Playbook are available now to SEON customers.
Earlier this year, SEON launched a global partner program to help resellers, integrators, and platforms scale fraud prevention and AML capabilities worldwide. Learn why SEON believes channel partners play a critical role in combating fraud risk around the globe.