Agentic AI
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Artificial Intelligence & Machine Learning
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Next-Generation Technologies & Secure Development
Google Says Gemini Enterprise Agentic AI Model Is Ready for Banking Clients

BNY is integrating Google Cloud’s Gemini Enterprise agentic artificial intelligence platform into its proprietary enterprise AI platform, Eliza. The move represents an evolution from AI as a pilot project to AI as infrastructure for the global financial services organization, which serves 90% of Fortune 100 companies.
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Gemini Enterprise integration with the Eliza platform brings multimodal analysis capabilities to enable research for market analysis across BNY’s workforce, helping employees build AI agents to manage a variety of workflows including the analysis of financial reports, data and historical trends, market analysis and other routine tasks.
Regulatory requirements, data security and privacy concerns often stall enterprise AI initiatives for CIOs and tech executives, but Google said the Gemini model has guardrails in place to ensure sensitive financial data is fully contained within the enterprise and never used to train or fine-tune public models.
“The security and governance framework for Gemini Enterprise is engineered to meet stringent financial services requirements,” a Google Cloud spokesperson told CIO.inc. “We don’t train our models on BNY’s data, and BNY retains full sovereignty over its intellectual property. While we provide the engine, they own the car, and most importantly, they control the direction they are heading.”
Google’s technical safeguards include virtual private cloud service controls for network isolation, customer-managed encryption keys, and strict identity access management policies that govern data access, the company said.
Google said Gemini Enterprise helps enterprises mitigate shadow AI, keeping employees in sanctioned environments rather than seeking outside tools. “This approach creates a secure environment where governance is enforced through strict architectural controls, such as VPC service controls, ensuring that agentic builds utilize isolated data and models,” the spokesperson said.
Integrating with Google Enterprise furthers BNY’s AI strategy of providing “AI for everyone, everywhere and everything,” and will improve Eliza’s agentic research capabilities, bringing in more data sources and improving the user experience, Sarthak Pattanaik, BNY’s chief data and AI officer, said in a statement.
“The integration underscores our goal to create capacity for our people to embed deeper analysis and strategic insights, adding value in their everyday delivery for clients,” Pattanaik said.
BNY was already using Google’s Gemini 3 and Veo 3 models. In October, BNY said that 99% of its employees had been trained on Eliza, named for Bank of New York Mellon founder Alexander Hamilton’s wife.
Rohit Bhat, general manager and managing director of financial services at Google Cloud, said the partnership is ushering in the “agentic era of finance,” though financial institutions still face heightened regulatory scrutiny around data provenance and model behavior in AI deployments.
To help banks demonstrate compliance, detect anomalous model activity and manage risk, the Gemini Enterprise platform provides a full, integrated governance stack for financial compliance, Google said.
“Transparency is ensured by the platform’s design to ground responses in BNY’s enterprise data and provide full citations for every insight, ensuring auditability,” Google’s spokesperson said. “Auditability is further delivered via comprehensive, centralized logging of every agent action. Finally, anomalous activity is managed through Model Armor, which provides comprehensive protections against prompt injection, sensitive data leaks and harmful content.”
