Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Article originally published in Green Sheet, June 15, 2026 As artificial intelligence rapidly reshapes the fraud landscape, financial institutions are under growing pressure to detect and stop increasingly sophisticated threats in real time. From AI-driven social engineering scams to evolving mule-account activity and instant payment fraud, traditional approaches to fraud prevention are being tested like never before.

The June arrests of Chilean bank workers accused of ties to an international criminal organization has again underscored the need for anti-money laundering (AML) detection to embrace real-time transaction intelligence. Authorities allege that a rogue Santander Chile employee was a key player in an $85-million USD money-laundering operation that channelled funds through accounts at almost every major bank in the country.

Originally published in Vancouver Tech Journal, June 2, 2026. Bijan Sanii is CEO and founder at INETCO It may seem reassuring that JPMorganChase, the largest U.S. bank, is among the 12 launch partners involved in Anthropic’s Project Glasswing. But given the stark cybersecurity warning the initiative represents, including a single financial institution is nowhere near enough.

Picture this: Your payments team starts the week with what looks like a routine performance review. Authorization rates are slightly off. A handful of merchants are seeing more retries than usual. Declines are climbing in one segment of the portfolio. But nothing looks catastrophic…yet. Then the warning signs start stacking up. An AI-driven BIN attack has quietly pushed enumeration activity higher. A few merchants are generating abnormal dispute patterns.

When Kuwait launched the WAMD real-time payment rail in 2024, the goal was clear: Enable banks and financial institutions to add speed, convenience and resilience to the country’s national payment infrastructure. Facilitated by the KNET Payment Gateway under the supervision of the Central Bank of Kuwait (CBK), the service has become such a key part of the country’s digital banking ecosystem that the CBK is making it crystal clear that real-time must also mean reliable.

Canada’s fintech and cybersecurity sectors continue to gain global recognition, and organizations like the Council of Canadian Innovators (CCI) play an important role in amplifying the companies shaping the country’s technology future. CCI represents many of Canada’s fastest-growing technology firms, advocating for policies and initiatives that strengthen innovation, economic growth and global competitiveness.

Monitoring milestone highlights shift toward real-time transaction intelligence as financial institutions face escalating fraud and operational risk VANCOUVER, B.C. — May 21, 2026 — INETCO, a global leader in real-time payment fraud prevention, today announced the monitoring of more than 100 billion transactions per year, empowering financial institutions and payment service providers across more than 30 countries to outsmart fraudsters, stay compliant and keep every customer safe.

Article by Luis Monzon originally published on MyBroadband, May 9, 2026. Anthropic’s AI model Mythos, part of its Claude software, represented a clear threat to banks and financial institutions in South Africa. This is according to Bijan Sanii, CEO of Canadian fraud detection provider INETCO. Anthropic, one of the world’s most important generative AI makers, positioned Mythos as an extremely capable AI model designed to identify vulnerabilities in critical software beyond human capabilities.

A recent American Banker article, “Knock on wood: Are banks doing enough to cope with Mythos?” raises a timely and uncomfortable question about advanced AI models like Anthropic’s Claude Mythos. As highlighted in the article, INETCO CEO Bijan Sanii points out a critical truth: The conversation is being fueled by the emergence of AI technology capable of identifying software vulnerabilities at a speed and scale that was previously unimaginable.

Banks, payment processors and fintechs have long relied on Know Your Customer (KYC) processes to verify identity and assess the risk of doing business with the customer during onboarding, and on Know Your Business (KYB) processes to validate business legitimacy. But today, that’s no longer enough.