Fight instant payments fraud with NetGuardians

Why you should be rethinking SWIFT CSP compliance

Why machine learning and AI is a ground-breaking way to stop money laundering

Artificial Intelligence in Anti-Money Laundering: A New Era of Banking Compliance

The Dark Side of ChatGPT: How Criminals are Using Large Language Models

Layering in money laundering and the big clean-up

The Top Banking Fraud Types to Watch in 2024

Critical risks during core banking transformations

How to win the deepfakes arms race with transaction monitoring

Know your fraud: the digital tools we use to access the “trace space” (Part III)

Know your fraud: introducing the trace space (Part II)

Know your fraud: distinguishing scams from account takeovers (Part I)

Proven protection against authorized push payment fraud in Africa

Co-operate to eliminate: a community approach to beating financial crime

My role at NetGuardians as a Customer Success Manager - Andrea Sagaseta

Shifting the odds against money mules

How feedback nourishes the algorithms that starve the fraudsters

Banking, financial crime, ice cream and licking the fraudsters

Comprehensive fraud prevention demands a multilayered approach

2023 Banking Fraud Forecast: How to Stay Ahead of the Curve with our New White Paper

Everything you need to know about app fraud now

Case study: Zurich Kantonalbank Switzerland

Case study: Consolidated Bank of Ghana

Best practices for tackling P2P payments app frauds

NetGuardians perfectly placed to address the rise of scams and payment fraud in Saudi Arabia

Why buying a fraud monitoring solution is more cost-effective and efficient than building one

AI-powered fraud mitigation helps new banks attract and retain customers

Fraud is like art forgery – the better the copy, the better magnifying glass you need

Banks and their customers are increasingly targets of online payment fraud

Phishing scams are preventable. Here is how.

Lombard Odier & NetGuardians: Tackling cyber fraud using both human and artificial intelligence

Smart fraud mitigation demands the right AI model

Powerful Big Data analytics platform fights financial crime in real time

Stamp out internal banking fraud without undermining staff trust

NetGuardians’ 3D AI delivers global analytics supremacy in fraud detection

Instant payments without instant fraud

The inside track on banking fraud in a post-Covid-19 world

Global Financial Sector Fraud and how NetGuardians leverages AI and ML to Help Banks Fight Back

2021: how banks can be smarter than the fraudsters this year

NetGuardians’ software leads to arrests of mobile-wallet fraudsters

Machine learning can stamp out internal banking fraud

How can banks protect against a new pandemic of fraud?

Foiling Enterprise Payment Fraud Through Managed Learning

Software shines a light on internal fraud

From Singapore to Switzerland, there’s only one way to stop fraud

How to beat fraud and be PSD2 compliant with NetGuardians

The new MAS risk management guidelines and how machine learning can help

How to overcome overfitting in machine learning based fraud mitigation for banks

Real-time fraud mitigation for Hong Kong’s virtual banks

What to expect when implementing NetGuardians

Making real-time fraud detection and prevention possible

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