PLATFORM

Agentic risk platform to fight financial crime

Device & Behavior

Workflow Automation

Fraud Detection, Data Analysis, Investigations, Rule Optimization, and Disputes

Agentic AML Ops

KYC, KYB, EDD, Sanctions, Case Management, Transaction Monitoring, and SAR Generation

Artigo em destaque

Isometric diagram illustrating an AI fraud investigation process with stages for human intent, risk analysis, authorization, and payment completion, supported by various data inputs.

Agentic AI in Payments Will Change What a Fraud Investigation Looks Like

Ler blog

THE CURRENT

Sardine blog

Insights, analysis, and perspectives on fraud, payments, and risk.

Explore

Último artigo

An illustration comparing machine speed (milliseconds) with human speed (seconds) for fraud reaction cycles, emphasizing AI's rapid detection capabilities.

AI Agents for Fraud Operations: Rebuilding the Reaction Cycle

EVENTS

Meet the team

Join Sardine at upcoming events

WHITEPAPERS

Research worth sharing

Industry insights and deep dives

Sardine Media

Fraud Forward Podcast

Hosted by Hailey Windham

The Saturday Fraud Strategist Podcast

Hosted by Chen Zamir

Fraudology

Hosted by Karisse Hendrick

THE AGENTIC FRONTIER

Developers

O atual

by Sardine

Bem-vindo ao blog da Sardine. Seu recurso sobre o que está acontecendo agora e o que vem a seguir em fraude, pagamentos e risco.

An infographic illustrating how AI-powered polymorphic fraud attacks adapt to bypass a risk threshold, explaining why conventional fraud detection systems are overwhelmed.

Graphic titled 'Five Things We Learned Building Fraud AI'. A 5-step spiral staircase illustrates failure points for production-ready AI: Narrow Agents, Over-Suspicion, Hallucinated Reasoning Chains, Missing Feedback Loop Design, and Missing Audit Trails.

Agentic AI

Fraud

JUL 17, 2026

How polymorphic fraud attacks treat your defenses as data

Polymorphic fraud is a new class of AI-driven attack where an agentic system reads denial signals and reconfigures the attack in real time, far faster than any fraud team can respond. This blog explains why the conventional rules-plus-ML stack was designed for a human-speed adversary and is now structurally mismatched. It lays out the three things fraud teams need to fight back: event clustering, case-level reasoning, and safe rule deployment, all operating at machine speed.

Chen Zamir

Featured

1 / 3

Todos os artigos

Loading navigation...

Loading search...

Loading posts...

Explorar mais recursos

Eventos

Whitepapers

Clientes