Tag: SymphonyAI

Why banks must adopt biometrics to fight financial fraud

Biometrics are rapidly shifting from optional security features to a cornerstone of financial crime prevention strategies worldwide. Regulators across Europe, Asia, and beyond are steadily...

New compliance era for scams and AML across Asia-Pacific

Financial crime regulation in Southeast Asia and Australia is becoming stricter, with regulators introducing clearer frameworks and stronger enforcement. Authorities are responding to threats...

AI adoption in finance faces global regulatory shifts

Financial regulators across the world are moving quickly to shape the future of artificial intelligence in financial services, balancing the opportunities of digital transformation...

How AI is reshaping financial crime prevention

Payment fraud has become one of the toughest challenges facing financial institutions. Attack volumes are rising, criminals are using increasingly sophisticated methods, and the...

Finding the best AML transaction monitoring software 2025

The market for anti-money laundering (AML) transaction monitoring software is experiencing rapid growth. Valued at nearly $20bn in 2025, it is expected to climb to...

SymphonyAI taps John Edison to drive fincrime AI

SymphonyAI, a pioneer in vertical AI solutions, has appointed John Edison as president of its Financial Services division. Edison, who brings over two decades...

SymphonyAI uses GenAI to tackle payment fraud

SymphonyAI’s NetReveal Payment Fraud solution is redefining how financial institutions combat payment fraud, using AI-driven technology to deliver rapid, accurate fraud detection with minimal...

How Sensa Investigation Hub tackles compliance backlogs

Sensa Investigation Hub, developed by SymphonyAI, is helping reshape how financial institutions tackle compliance and financial crime investigations. SymphonyAI recently released a video outlining how...

Stopping payment fraud with behavioural analytics

As digital payments continue to expand, financial institutions face the urgent challenge of preventing fraud before it occurs while maintaining seamless customer experiences. Traditional fraud detection methods, whether rules-based systems or machine learning models, are often too rigid or slow to identify today’s rapidly evolving fraud tactics, leading to either missed threats or excessive false positives that inconvenience genuine customers.

Embedding AI responsibly in financial crime

Generative AI has fast become a major talking point across the financial sector, but as financial firms shift from small pilots to large-scale deployment, the spotlight is on how this powerful technology can be embedded responsibly into anti-financial crime frameworks.

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