Agentic AI,
Artificial Intelligence & Machine Learning,
Next-Generation Technologies & Secure Development
Google Unveils Gemini Enterprise AI Model for Banking Sector
In a significant development for the financial sector, BNY is set to integrate Google Cloud’s Gemini Enterprise agentic artificial intelligence platform into its proprietary AI system, Eliza. This partnership signifies a shift from viewing AI as merely a pilot initiative to recognizing it as a crucial component of the infrastructure supporting global financial services that cater to 90% of Fortune 100 companies.
Through this collaboration, the Eliza platform will benefit from Gemini Enterprise’s multimodal analysis capabilities, facilitating enhanced market research across BNY’s operations. Employees will be empowered to construct AI agents that streamline various workflows, including the analysis of financial reports, patterns in historical data, and routine market assessments.
Despite the benefits AI brings, many CIOs and tech executives face challenges related to regulatory compliance, data security, and privacy concerns that often hinder implementation. In response, Google has assured that the Gemini model incorporates safeguards designed to keep sensitive financial data securely within the enterprise, ensuring it is never utilized to train or refine public models.
A spokesperson for Google Cloud stated, “The security and governance framework for Gemini Enterprise is designed to meet stringent requirements within the financial services sector. We do not train our models on BNY’s data while ensuring BNY maintains full sovereignty over its intellectual property.” This establishes a clear division where Google provides the technological foundation, while BNY controls the application and direction of AI utilization.
Google intends to bolster its technical protections, incorporating features such as virtual private cloud controls for network isolation, customer-managed encryption keys, and stringent identity access management policies. These measures aim to preserve data integrity and access management in a rapidly evolving digital landscape.
Furthermore, Google emphasizes that Gemini Enterprise aids in curbing shadow AI practices, thereby encouraging employees to operate within vetted environments rather than resorting to unauthorized external tools. “Our approach fosters a secure atmosphere where governance is upheld through architectural controls that ensure isolated data usage,” the spokesperson explained.
BNY’s adoption of Google’s offerings aligns with its commitment to democratizing AI across its operations, enhancing Eliza’s research function and user experience. As Sarthak Pattanaik, BNY’s chief data and AI officer, remarked, the integration aims to empower employees with deeper analytical capabilities, delivering greater value in client interactions.
Previously, BNY had begun utilizing Google’s Gemini 3 and Veo 3 models. In an October announcement, the bank revealed that nearly all its employees had undergone training on Eliza, named after Alexander Hamilton’s wife. Rohit Bhat, general manager and managing director of financial services at Google Cloud, noted that this partnership heralds what he describes as the “agentic era of finance,” even as financial institutions grapple with increased regulatory scrutiny regarding data source verification and AI model behavior.
To ensure compliance and effective risk management, the Gemini Enterprise platform is equipped with a comprehensive governance framework tailored for the financial sector. Google stated that the platform promotes transparency by basing responses on BNY’s internal data while providing documentation for each insight. This auditability is reinforced through centralized logging capabilities and protections against issues such as prompt injection and data leaks, ultimately enhancing the overall security infrastructure.
