Between late December 2025 and mid-February 2026, Gambit found that a single operator compromised nine Mexican government agencies, reaching tax records, civil registry data, patient files, and electoral infrastructure across a two-month campaign. What made it remarkable was not the scope but the method: the attacker ran the entire operation with commercial AI handling the exploitation work, and researchers only discovered what had happened after recovering materials from attacker-controlled servers. AI was not a productivity tool running in the background. It was the operational core of the attack. Check Point Research’s March-April 2026 Threat Landscape Digest documents this breach alongside […]
The post AI Attacks Are No Longer Experimental: Key Findings from the March-April 2026 AI Threat Landscape appeared first on Check Point Blog.
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