Cybersecurity firm Tenable has revealed three critical vulnerabilities in Google’s Gemini AI suite, exposing potential risks to user privacy and data security. Dubbed the “Gemini Trifecta,” the flaws reportedly allowed attackers to manipulate the AI’s behavior and extract sensitive information, including user location data and stored memories, without detection.

According to Tenable’s findings, the vulnerabilities could be exploited through targeted prompts and malicious data injections, enabling unauthorized access to personal information from Gemini’s integrated services. The report warned that the flaws posed significant privacy threats, especially given Gemini’s wide integration across Google Workspace, Android, and third-party apps.

Tenable stated that the vulnerabilities highlighted the growing challenges of securing generative AI systems that learn and adapt from vast datasets. The company emphasized that while AI models like Gemini enhance productivity and user engagement, their interconnected nature makes them more susceptible to complex cyberattacks.

In response to the findings, Google said it had already patched the reported vulnerabilities and reinforced Gemini’s internal safety frameworks. The company added that no evidence of active exploitation had been found, and that its security teams continue to collaborate with external researchers to strengthen the AI ecosystem.

Experts view this discovery as a wake-up call for the AI industry, underscoring the need for continuous oversight, testing, and transparency. As generative AI tools become deeply embedded in everyday workflows, cybersecurity professionals warn that even small weaknesses could have wide-ranging implications for users and enterprises alike.

The exposure of the “Gemini Trifecta” vulnerabilities marks one of the first major external probes into Google’s AI systems, signaling an urgent need for more robust defense measures in next-generation AI platforms.