Artificial intelligence
SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool
New MCP server, Network Detection, AI Chart Builder and AI Playbook give fraud and AML teams more ways to put AI to work
SEON, the AI Command Center for Fraud Prevention and AML Compliance, has built a platform where flexibility is an accent of its architecture. With SEON, customers can ingest any custom field or data type, build any rule or alert they need, and investigate in system driven workflows that represent the way their team operates. Most importantly, they can choose a rules-based policy, one driven by AI or a hybrid decisioning model that leverages both. SEON has the capabilities to meet teams how and where they actually operate.
Today, the company extends that same flexibility to the use of AI in the fight against fraud and financial crimes. A Model Context Protocol (MCP) server opens SEON’s data layer to whichever AI tool a team prefers. Two additional capabilities, Network Detection and AI Chart Builder, connect SEON’s existing capabilities in automation and business intelligence. To support adoption, an AI Playbook for Risk and Compliance Teams ships alongside them, giving customers a practical starting point for putting their MCP connection to work quickly.
Access to AI Has Outpaced Access to Risk Data
For most fraud and AML teams, AI is accessible but still hard to put to real work. Analysts have ChatGPT, Claude or Gemini at their fingertips. What they don’t have is a clean way to get their investigation data into those environments. Instead, they manually paste in transaction records, customer profiles and risk signals, losing context at every step and creating security risks for their organization. According to the 2026 Fraud and AML Leaders Report, 98% of fraud and AML leaders are already using AI in their workflows. The tools are there. The data pipeline is not.
An Open Foundation for Any AI Tool
SEON’s MCP server addresses that gap. Analysts can 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. 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. Because the integration uses the open MCP standard, customers are free to use whatever works best today and switch to a stronger option tomorrow without rebuilding anything.
“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, CEO and Co-Founder, 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.”
“The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
Meeting Teams Where They Are
Some customers are ready to run their entire risk operation through an agentic platform. Others want AI working inside the SEON interface they already use. Most are somewhere in between. SEON supports all team preferences, whether they work inside the platform or outside it.
Network Detection builds on the network analysis SEON released last year, including Similarity ranking and the Network graph. It continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses to identify clusters that are only suspicious when viewed together. Coordinated fraud rings and money laundering networks now surface before an analyst opens an alert.
AI Chart Builder turns natural-language questions about your business into instant data visualizations. Analysts no longer wait on business intelligence teams for dashboard projects or are forced to rebuild reports from spreadsheet exports. They ask a question and the chart appears, built on live SEON data.
These join an AI portfolio SEON has shipped over the past year. Existing capabilities include AI-assisted rule creation, scoring insights, AML screening analysis, automated case summaries and regulatory report generation.
“The next generation of fraud and KYC challenges won’t look like the last one. AI agents will interact with our marketplaces as customers, and AI agents will be used to impersonate and exploit our customers as well. Our team needs an intelligence foundation that’s ready for both,” said Mostafa Hassanin, CISO, SMG Marketplace. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going.”
A Fast-Start Kit for Teams Ready to Build
To help teams get started quickly, SEON is also releasing an AI Playbook for Risk and Compliance Teams. The playbook is 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.
The post SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool appeared first on Americas iGaming & Sports Betting News.
Updates include Network Detection, AI Chart Builder and an AI Playbook, with integrations for third-party AI tools via the MCP standard.
SEON has rolled out new AI capabilities for its fraud prevention and AML compliance platform, including a Model Context Protocol (MCP) server designed to connect SEON data to external AI tools. The company said the MCP server, Network Detection, AI Chart Builder and an AI Playbook for Risk and Compliance Teams are available now to SEON customers.
The MCP server is positioned as a way for analysts to use third-party AI tools while pulling investigation context from SEON. SEON said analysts can connect tools including Claude, ChatGPT, Gemini and Microsoft Copilot to “900+ real-time risk signals spanning identity, device, behavioral, AML and IP data,” with signals accessible “in a single call” via the open MCP standard.
“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, CEO and Co-Founder, 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.”
SEON also introduced Network Detection and AI Chart Builder inside its platform. Network Detection builds on SEON’s network analysis features released last year, and “continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses” to surface suspicious clusters. AI Chart Builder generates data visualizations from natural-language questions using live SEON data, targeting reporting and dashboarding needs typically handled through BI teams or spreadsheet exports.
Customer TurboTenant said it is already using the MCP approach in production workflows. “The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
To support adoption, SEON said it is shipping an AI Playbook for Risk and Compliance Teams alongside the releases, including “pre-built agentic skills” such as a fraud analyst daily briefing and a decline spot-check, compatible with the MCP server. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going,” said Mostafa Hassanin, CISO, SMG Marketplace.
The post SEON adds MCP server and new AI tools for fraud and AML teams Subheadline appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
In an iGaming Real Talk interview in Dubai, the firm says the tool reads player emotion and context to guide operator actions.
SoftConstruct AI has unveiled RecSys, an AI Game Recommendation System, during an exclusive iGaming Real Talk interview recorded at AIBC Eurasia in Dubai on Thursday 30th April.
Mushegh Khachatryan, Chief AI Officer at SoftConstruct AI, said RecSys is designed to move beyond traditional recommendation models by interpreting player emotions in real time and accounting for context, with the goal of suggesting “the next best action” for operators. “You can understand your customer’s emotions in real time and suggest the next best action. We are building intelligent systems which can reason and act.”
Khachatryan said SoftConstruct built an AI Center of Excellence by hiring talent from outside the iGaming sector, and described RecSys as part of “production-ready agentic AI” intended to support personalised campaigns and decision automation. Surya Palli, host of iGaming Real Talk, said: “SoftConstruct is essentially building a Netflix-style personalised experience for the iGaming industry, where every player gets a lobby made just for them.”
Responsible gaming was also discussed, with the company claiming AI can detect risky behaviour faster and more consistently than human teams, and recommend timely breaks while balancing player protection with sustainable growth.
Khachatryan also stressed the need for explainable, controlled deployment. “AI should help teams perform five times better rather than replace them… Without proper boundaries, short-term momentum boosts with AI can actually hurt your company in the long term.” The company said operators can manage campaigns, personalisation and risk through chat interfaces, with at least 85% accuracy “from the first interactions,” and directed viewers to the full interview on the iGaming Real Talk YouTube channel.
- SoftConstruct; https://softconstruct.com/ Company background and official information on SoftConstruct and its business units.
- iGaming Real Talk YouTube channel; https://www.youtube.com/ Source location for the full interview referenced in the announcement (editor can add the specific video URL once identified).
- AIBC Eurasia; https://aibc.world/ Event organiser site to corroborate the conference setting and provide context on AIBC Eurasia.
The post SoftConstruct unveils RecSys AI game recommendation system at AIBC Eurasia appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Supplier plans product demos at Stand C50 on April 29–30, including sportsbook, casino aggregation, affiliate tools, retail and AI suite.
BetConstruct AI will exhibit at SBC Summit Malta 2026 on April 29–30, taking Stand C50 in Malta to present its iGaming product ecosystem to operators and other industry stakeholders.
The company said it will demo multiple components including its Sportsbook Platform, Casino Platform, Affiliate Ecosystem, Retail Solutions and AI Suite. BetConstruct AI stated its Sportsbook Platform includes more than 140,000 pre-match events and over 12,000 monthly esports live events.
For casino, BetConstruct AI said its Casino Platform integrates 350+ providers via a unified aggregation API. It will also spotlight its Affiliate ecosystem, which it said includes 7,000+ vetted affiliates supported by AI-based scoring.
On omnichannel, the supplier said its Retail Solutions are designed to connect land-based and digital channels. The company’s AI suite will also be part of the stand presentation, including CRM AI, Umbrella AI, an AI Game Recommendation System and Betting Mate AI, which it said covers “everything from churn prediction and risk management to real-time personalisation and conversational betting.”
BetConstruct AI said a focus at Stand C50 will be “the Best Sportsbook for the World Cup 2026,” supported by two “zero-cost products” — Powerfull for pre-tournament engagement and Bet on League for an in-tournament hub — which it said require “zero development effort from operators.”
More relevant data as follows:
- SBC Summit Malta; https://sbcevents.com/sbc-summit-malta/ Official event page for dates, location, and exhibitor information.
- BetConstruct; https://www.betconstruct.com/ Company site for product and platform background referenced in the announcement.
- Malta Gaming Authority (MGA); https://www.mga.org.mt/ Primary regulator in Malta; useful context for readers tracking Malta-based iGaming activity.
The post BetConstruct AI sets SBC Summit Malta 2026 stand to demo iGaming ecosystem appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
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