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knowbe4

4 Hot Summer Travel Tips To Avoid Scams

Jun 16, 2026 By Erich Kron In KnowBe4
When the weather starts to get warmer, it is a sign that summer time is around the corner. But just as the weather heats up and travel plans get booked, scammers capitalize on the season by performing nefarious schemes to separate victims from their money and other valuables. Recent McAfee research found that more than one in three Americans have experienced a travel-related cyberthreat, with 41% of those affected losing money, often costing victims over $500.
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inetco

Green Sheet interviews INETCO's Ugan Naidoo

Jun 16, 2026 By Joe Kitos In INETCO
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.
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memcyco

From Brand Impersonation to Account Takeover: The ATO Attack Chain

Jun 15, 2026 By Isabelle Wild In Memcyco
Brand impersonation account takeover (ATO) happens when attackers use fake brand assets to expose customers, harvest credentials, and attempt access on the legitimate site. The impersonation stage happens outside the enterprise’s login environment, but the ATO risk appears when stolen credentials, attacker devices, or exposed users reach the legitimate login environment. That distinction matters because brand impersonation and account takeover are often handled as separate problems.
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memcyco

From Brand Impersonation to Account Takeover: The ATO Attack Chain

Jun 15, 2026 By Isabelle Wild In Memcyco
Brand impersonation account takeover (ATO) happens when attackers use fake brand assets to expose customers, harvest credentials, and attempt access on the legitimate site. The impersonation stage happens outside the enterprise’s login environment, but the ATO risk appears when stolen credentials, attacker devices, or exposed users reach the legitimate login environment. That distinction matters because brand impersonation and account takeover are often handled as separate problems.
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inetco

Why know your transaction (KYT) is the AML capability financial institutions cannot afford to miss

Jun 12, 2026 By Joe Kitos In INETCO
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.
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Stop AI-powered fraud rings with link analysis

Jun 11, 2026 By Persona In Persona
Sophisticated fraudsters optimize and scale their systems to grow ROI. That's also a weakness you can exploit to shut down fraud rings before attacks scale. Fraud experts Nisreen Hussain, Irfan Faizullabhoy, and Ashley Fang show how pattern and link analysis stops AI-powered fraud, account takeovers, and large fraud rings. In the full webinar.
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Why Visual Branding Combats Brand Impersonation Risks

Why Visual Branding Combats Brand Impersonation Risks

Jun 11, 2026 By SecuritySenses In SecuritySenses
Corporate identity theft happens fast online. A random criminal can copy a logo, launch a fake website, and trick regular customers within minutes. Many business owners forget that public visual design provides the first line of defense against online fraudsters. Brand protection blends security awareness with strict visual consistency.
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A Fake MCP Server Just Exposed Your WhatsApp History

Jun 10, 2026 By SafeBreach In SafeBreach
A security researcher introduced a malicious MCP server into an environment that already had a legitimate WhatsApp integration—and watched it silently expose message history without any user approval. The technique is called a rug pull. The server advertised one behavior at installation. On second usage, it switched to something else entirely. The approval was real. The thing you approved was not. This is what trust decay looks like in practice—and it passes every classical security check.
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