A highly skilled threat actor orchestrated a large-scale cyberattack that compromised nine government agencies in Mexico, exposing hundreds of millions of citizen records. Notably, the campaign unfolded between late December 2025 and mid-February 2026, signaling a significant shift in how modern cyber threats operate.
According to a detailed technical report released by Gambit Security, the attacker strategically leveraged artificial intelligence tools to accelerate and scale the intrusion. Although the report was initially withheld, researchers later published it after authorities completed their incident response procedures.
AI Becomes a Core Attack Engine
Instead of using AI for limited support, the hacker integrated it deeply into the attack lifecycle. Specifically, the attacker used Claude Code developed by Anthropic to generate and execute nearly 75% of remote commands during the breach. This level of automation significantly reduced manual effort while increasing operational speed.
At the same time, the attacker relied on GPT-4.1 from OpenAI to perform reconnaissance and process vast amounts of stolen data. To streamline operations, the threat actor created a sophisticated 17,550-line Python script that directly fed compromised data into the OpenAI API.
As a result, the automated system analyzed data from 305 internal servers and produced 2,597 structured intelligence reports. Traditionally, such a task would require a coordinated team; however, AI enabled a single individual to complete it rapidly and efficiently.
Faster Attacks, Deeper Impact
Furthermore, the attacker used artificial intelligence to map unfamiliar networks within hours instead of days. Investigators also discovered more than 400 custom attack scripts used during the campaign. In addition, the hacker developed 20 tailored exploits targeting 20 distinct Common Vulnerabilities and Exposures (CVEs).
This accelerated approach significantly shortened the attack timeline, allowing the threat actor to remain undetected for longer periods. Consequently, the attacker operated below standard detection thresholds, making traditional defense mechanisms less effective.
Basic Security Gaps Enabled the Breach
Despite the advanced use of AI, the exploited vulnerabilities were not complex. Instead, the targeted agencies suffered from basic security weaknesses, including unpatched systems and poor access controls. These gaps allowed the attacker to gain initial access and move laterally across networks with ease.
Importantly, these issues could have been prevented through standard cybersecurity practices. However, the incident highlights the growing risks associated with technical debt in critical infrastructure systems.
Strengthening Cyber Defense Strategies
Although artificial intelligence is lowering the barrier to executing sophisticated cyberattacks, organizations can still defend themselves by reinforcing foundational security measures. Experts emphasize the urgent need to patch vulnerabilities, enforce strict credential management, and implement network segmentation.
Moreover, deploying advanced endpoint detection and response solutions can help identify suspicious activities early, even when attackers operate at accelerated speeds.
Ultimately, this incident serves as a wake-up call. As cybercriminals increasingly adopt AI-driven techniques, organizations must evolve their security strategies to stay ahead of rapidly advancing threats.
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