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Google’s Threat Intelligence Group disclosed on May 12, 2026 that a threat actor used an AI model to discover and weaponize a vulnerability allowing bypass of two-factor authentication. The finding coincides with a Fortinet survey showing 57% of Philippine cybersecurity leaders now rank AI-driven threats as their top concern, up sharply in five months.
RapplerGoogle’s Threat Intelligence Group disclosed on May 12, 2026 that it had identified the first zero-day exploit developed with the aid of AI. The vulnerability could have enabled an attacker to bypass two-factor authentication on a popular open-source web-based administration tool.
Prominent cyber threat actors were partnering to exploit it before the group worked with the impacted vendor to disclose the exploit and disrupt the potential attack.
A zero-day exploit is an unpatched vulnerability being seen for the first time. ” Researchers had found at the end of 2025 that common AI tools for productivity could be used to aid cyberattacks.
These tools lowered the skill barrier for attackers, helping them write more sophisticated phishing emails, understand vulnerabilities, and create harmful code. The GTIG report, published on May 12, 2026, highlighted this case as its top finding. Threat actors from China and North Korea have demonstrated significant interest in capitalizing on AI for vulnerability discovery.
One method used is training an LLM with real-world vulnerability cases. A threat actor inputted a database of 85,000 vulnerability cases collected on the Chinese bug bounty platform WooYun between 2010 and 2016. Feeding the 85,000 cases into the LLM allowed it to steer the model to approach code analysis like a seasoned expert and identify logic flaws.
GTIG found a sophisticated shift toward agentic AI-enabled attacks. In an attack against an unnamed Japanese tech firm and prominent East Asian cybersecurity platform, the threat actor used tools that automated identification and validation of vulnerabilities and switched between tools for reconnaissance based on the AI’s internal reasoning.
“The LLM is no longer merely a passive advisor but an active participant in the offensive chain, capable of orchestrating complex toolsets and making tactical decisions at machine speed,” the GTIG report stated.
The full GTIG report has more information on these newly discovered AI-based cyberattack strategies. The same day, Fortinet held its Accelerate Asia Pacific 2026 Philippines briefing. Fortinet’s annual Accelerate report surveyed 585 chief information security officers and senior cybersecurity leaders across the Asia-Pacific region, including responses from more than 50 cybersecurity leaders from the Philippines.
57% of Philippine cybersecurity leaders now consider AI-driven threats as their top cybersecurity concern. The 57% figure represents a sharp increase in the past 5 months, according to Rashish Pandey. Many organizations in the Philippines use between 20 and 40 different security tools.
70% of organizations surveyed are planning to increase cybersecurity spending, particularly on AI-enabled security tools and workforce training. More than 60% expect AI to improve detection accuracy, accelerate response, and strengthen overall security posture. Bambi Escalante stated that “AI will not replace human when it comes to cybersecurity.
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