Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Brand impersonation detection is the process of identifying fake domains, cloned brand experiences, and exposure signals that show attackers are using a trusted brand to deceive customers, employees, or partners. For security teams, the harder problem is not finding every impersonation asset. It is knowing which signals indicate live user exposure and which ones should change the response.

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.

Scammers are increasingly targeting athletes with advanced social engineering attacks, the Guardian reports. The Guardian cites a recent report from Ernst & Young that found that athletes and teams have lost nearly $1 billion to fraud over the past twenty years, and more than 40% of these losses were reported in the past six years.

Scammers are taking advantage of the conflicts in the Middle East and Ukraine to exploit people’s emotions, according to researchers at ESET. “Geopolitical turmoil often leads to human misery, which tends to pull at the heartstrings,” ESET says. “Legitimate charities may solicit donations to help their efforts to support innocent citizens caught in the crossfire.

Brand impersonation protection helps enterprises detect, disrupt, and stop impersonation attacks where criminals imitate trusted brands, websites, apps, domains, ads, or digital journeys to deceive users and steal credentials, data, money, or access. The goal is not to stop every fake asset from ever appearing. That is not realistic.

The banking industry stands at a critical intersection of technology, security, and customer experience. As financial institutions navigate massive data volumes and increasingly sophisticated threats, they’re also trying to survive the digital transformation that’s made customer expectations higher than ever and trust more fragile than before.

The classic 'survey reward' scam is back and hitting harder than ever. KnowBe4 Threat Labs is tracking a massive, high-volume campaign that is not only impersonating a wide array of trusted global brands across retail, logistics, and healthcare, but is using hundreds of newly registered domains (NRDs) and sophisticated psychological priming to fly past traditional security defenses.

As a fraud analyst at Persona, I have to balance working on fraud escalations for specific customers and keeping an eye on cross-customer (and cross-industry and cross-region) fraud trends. The work naturally overlaps, as one escalation can turn into a trend as fraud rings move on to new targets. And, getting ahead of large trends helps us stop escalations. I have a lot of tools at my disposal, but I want to discuss Graph, Persona’s real-time link analysis product.