An AI Security Agent for Banking: Multi-Vector Fraud and AML Detection across Retail and Corporate Accounts

Banks simultaneously face signature-based fraud card-not-present attacks, account takeover, ATM cloning and behavioural financial crime structuring, layering, mule networks, business email compromise -- two threat families with fundamentally different detection requirements. Static rule engines...

FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems

Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...

SlowBA: An Efficiency Backdoor Attack Towards VLM-Based GUI Agents

Modern vision-language-model VLM based graphical user interface GUI agents are expected not only to execute actions accurately but also to respond to user instructions with low latency. While existing research on GUI-agent security mainly focuses on manipulating action correctness, the security...