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

Transforming Fraud Detection: Insights from Zurich Cantonal Bank's AI Journey

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

My role at NetGuardians as a Data Scientist – Jérôme Bovay

Banking, financial crime, ice cream and licking the fraudsters

Comprehensive fraud prevention demands a multilayered approach

AI, fraud and regulation: what the experts said

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

Fraudsters vs. Banks – who is winning the battle in Australia?

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

What’s new with SWIFT’s CSCF in 2021 and how best to tackle it?

Growth in digital banking across APAC risks a similar growth in fraud

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

Why FinTechs’ targeted products are better at fighting bank fraud

Software shines a light on internal fraud

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

Fraud detection on SWIFT without the need to configure any rule

APAC banks vulnerable to fraud due to lack of investment

How to beat fraud and be PSD2 compliant with NetGuardians

How to measure the value of fraud mitigation

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

NetGuardians’ global take on bank fraud

African banks vulnerable to financial fraud

Outlines for a tech-led solution in the fight against digital banking fraud behavioral data analytics and machine learning hold the key

Making real-time fraud detection and prevention possible

Four bank fraud trends particular to Europe

Digital banking fraud, machine learning, and digitization (Part 2/2)

How “Know Your Transaction” can help banks with compliance

Digital banking fraud, machine learning, and digitization (Part 1/2)

Combating mobile fraud across Asia is key

NG|Club: a trusted forum for anti-fraud discussion

Eight reasons why technology is crucial in the fight against digital banking fraud

New regulations are here - What are the looming challenges of Open Banking?

Fraud Awareness: What are the ways for a fraudster to penetrate the digital banking system?

Do you know how to store your banking data in order to stop fraud in real-time?

Banks’ weaknesses: How to reinforce the security of your bank against digital banking fraud? - The three Cs – customers, controls and culture

How to assess the value of an anti-fraud solution

Working in FinTech: Multi-cultural, multi-talented and going places

MAS issues an advisory for SWIFT cyber attacks

Mobile banking is booming and so is fraud. Here’s how to help stop it

It’s time for banks to sharpen their weapons against money-laundering

Mitigating the increased risk of fraud from PSD2

Five Cyber Fraud Trends Banks Should Know About for 2018

Using machine learning in fraud detection – How does it work? What are the benefits?

Fraud Week Draw Videos

Time for African banks to invest in compliance

Fraud Awareness Week - What does a fraudster look like?

Fraud Awareness Week - Why do people commit fraud?

PSD2 and fraud: what banks need to know

What to look for in an anti-fraud solution

Patchy protection leaves Asia vulnerable to fraud

SWIFT CSP - A Prompt for Wider Action

Fraud: Prevention is Better Than Punishment

Compliance of the Future: Tech War on Fraud

Blockchain Explained - Part 2

Blockchain Explained - Part 1

Hackers’ use of Swift network means banks worldwide need deeper layers of security defense

Mobile Banking: How to Protect Customers and Prevent Fraud?

Get the Big Power of Big Data: Protect from Fraud & Regulatory Noncompliance

Get in the fraudster’s mind: the way to fraud mitigation