Fraud & Security Intelligence

Find out how analytics can protect against fraud and cybercrime

Fraud & Security Intelligence | Innovation
Seema Rathor 0
From data to decisions: What sets the intelligent bank apart

Banks face increasing vulnerabilities, including fraud, cyberattacks, regulatory pressures and rapidly evolving customer behaviors. To remain secure and resilient, financial institutions must do more than simply adopt new technologies – they must build intelligent, adaptive systems. This is where a data and AI platform becomes a critical engine – not

Artificial Intelligence | Fraud & Security Intelligence | Machine Learning
Josh Beck 0
Threat modeling for agentic systems

As agentic AI systems evolve through protocols like MCP and A2A, traditional security practices must be adapted to address new risks such as goal misalignment and tool instruction abuse. This article explores practical threat modeling strategies, including goal alignment cascades and distinguishing between parameter-only vs. instruction-enabled tool calls.

Artificial Intelligence | Fraud & Security Intelligence
Seema Rathor 0
From algorithms to action: Financial institutions must embrace AI to fight financial crime

Integrating AI and machine learning into anti-money laundering (AML) and combating the financing of terrorism (CFT) systems has become imperative for financial institutions (FIs) to safeguard their operations, customers and reputation effectively. Sophisticated financial crimes require advanced solutions to detect and prevent fraud. Money laundering, for example, is a financial

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