As AI becomes more embedded in fraud prevention and AML workflows, its effectiveness increasingly depends on whether teams can give AI the right context to work with.
When investigation data, customer profiles, risk signals and case information sit across disconnected systems, AI tools may spend more time assembling context than analyzing risk.
This often leads to duplicated work, slower investigations, and less efficient use of AI capacity and token budget.
Access to AI 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.
In APAC, SEON’s 2026 Fraud & AML Leaders Report found that 97% of organizations have already integrated AI into daily workflows, and 96% are confident in AI’s reliability. Yet, 77% still find it challenging to obtain a unified view across fraud and AML systems, while only 51% report having fully integrated workflows.
This disconnect between widespread AI adoption and the lack of integrated fraud and AML workflows is especially important for fraud and AML teams that are already using tools such as ChatGPT, Claude, Gemini, or Microsoft Copilot, but still struggle to bring investigation data, customer profiles, and risk signals into those environments securely and efficiently.
A platform where flexibility is the architecture
As more organisations explore how AI can be applied in fraud prevention, AML compliance and risk operations beyond initial adoption, SEON is advocating an AI Command Center for Fraud Prevention and AML Compliance, with expansion of its AI capabilities with a new Model Context Protocol (MCP), Network Detection, AI Chart Builder, and an AI Playbook for Risk and Compliance Teams.
SEON’s new MCP server is designed to address this by opening its data layer to external AI tools, allowing analysts to connect their preferred AI environment to SEON’s 900+ real-time risk signals across identity, device, behavioral, AML, and IP data.
Alongside this, Network Detection helps surface suspicious clusters across devices, emails, phone numbers, and IP addresses, while AI Chart Builder allows teams to turn natural-language questions into live data visualisations.
With the SEON platform, users 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.
Meeting real-world needs
“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.”
“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.”
“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.”
