{"id":29155,"date":"2026-10-15T19:06:01","date_gmt":"2026-10-15T19:06:01","guid":{"rendered":"https:\/\/www.ikusi.com\/?p=29155"},"modified":"2026-10-15T19:14:50","modified_gmt":"2026-10-15T19:14:50","slug":"advanced-phishing-corporate-deepfakes-ai-cybersecurity-latam","status":"publish","type":"post","link":"https:\/\/www.ikusi.com\/en\/blog\/advanced-phishing-corporate-deepfakes-ai-cybersecurity-latam\/","title":{"rendered":"Advanced Phishing and Corporate Deepfakes: The New Face of AI in LATAM Cybersecurity"},"content":{"rendered":"
Claudia Ibarra<\/div>\n\n\n

Would you trust your CFO’s voice if they called asking for an urgent wire transfer? What if you could also see them on a video call, with their gestures, their tone, their usual way of speaking? You probably would. But today, none of those cues is enough. Artificial intelligence can already replicate every one of them, and companies are learning this the hard way: in the middle of an incident.<\/p>\n\n\n\n

Advanced phishing and corporate deepfakes are no longer lab scenarios. Right now, they are two of the threats the cybersecurity industry is watching most closely, and they share a common thread: AI in LATAM cybersecurity is no longer just a defensive tool. It is also the weapon being used against you. Ikusi Security Protect, Ikusi’s cyber patrolling and cyberattack prevention solution<\/a>, is built to address this exact reality.<\/p>\n\n\n\n

What is happening with AI in LATAM cybersecurity?<\/h2>\n\n\n\n

Gartner has identified deepfakes, together with AI application compromise, prompt injection and software supply chain attacks, as the four critical threats that demand urgent improvements from cybersecurity leaders in the 2026\u20132027 cycle (Gartner, 2026). What matters is not only that these threats exist, but that, according to the firm, attackers now hold a structural advantage in exploiting them: they operate inside environments where they already have access or earned credibility, rather than having to force their way in.<\/p>\n\n\n\n

An official Gartner press release, based on a survey of 302 cybersecurity leaders in North America, EMEA and Asia\/Pacific conducted between March and May 2025, confirms the scale of the problem: 6 in 10 organizations (62%) experienced a deepfake attack involving social engineering or the exploitation of automated processes in the previous twelve months (Gartner, 2025). The typical case no longer surprises anyone working in security: a manager receives a video call from what appears to be a long-standing supplier (the face, the voice, even the gestures match) and, after a brief conversation, approves a transfer. The fraud does not come in through a technical vulnerability. It comes in through trust.<\/p>\n\n\n\n

This should not surprise us once we understand the nature of AI applied to cybersecurity: it is a dual-use technology. Technical research from the European Union Agency for Cybersecurity (ENISA, 2023) documents how the same generative adversarial networks (GANs) driving legitimate advances across industries are also the technical foundation behind deepfake creation, and how AI models can already draft targeted phishing emails with a level of personalization and persuasiveness that once required the manual work of a seasoned attacker.<\/p>\n\n\n\n

What exactly is a corporate deepfake?<\/h2>\n\n\n\n

A corporate deepfake is the AI-generated recreation of a real person’s voice, face or mannerisms (typically an executive, supplier or client) used to authorize payments, extract confidential information or issue fraudulent instructions within an organization. Unlike traditional phishing, it does not rely on someone clicking a link. It relies on someone trusting what they see and hear.<\/p>\n\n\n\n

Why is AI-powered advanced phishing harder to detect?<\/h2>\n\n\n\n

Because it no longer contains the errors we spent years learning to spot. AI-generated advanced phishing eliminates spelling mistakes, mimics the real corporate tone of a brand or executive, and personalizes every message with data the attacker previously gathered from open sources, data leaks or corporate social media. In practice, it is social engineering at industrial scale.<\/p>\n\n\n\n

What the numbers say in Mexico and Colombia<\/h2>\n\n\n\n

If you work at a Mexican or Colombian company, this is no longer a distant global trend. It is your operating reality.<\/p>\n\n\n\n

In Mexico:<\/p>\n\n\n\n