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February 25.2025
3 Minutes Read

How BNY is Pioneering AI Agents to Transform Banking Services

Futuristic AI agents concept with mechanical brain inside a box.

How BNY is Pioneering AI Agent Management

When it comes to innovation in the financial sector, BNY (The Bank of New York), founded by Alexander Hamilton, stands out as a leader in harnessing AI technology. As one of the most regulated and data-driven industries, banks have historically been slow to adopt new technologies. However, BNY's ambitious plan to integrate AI agents into its operations signifies a transformative shift in how financial institutions engage with clients and manage internal processes.

The Case for Multi-Agent Systems in Banking

BNY has developed a system known as Eliza, its enterprise AI platform that now operates with a multi-agent architecture. According to Sarthak Pattanaik, head of BNY’s Artificial Intelligence Hub, this dynamic system encompasses around 13 agents, each with specific functions. These agents collaborate and negotiate—much like a team—to provide accurate product recommendations and streamline processes for the sales team. A major advantage here is that employees can access a breadth of insights without needing to contact multiple departments, thereby reducing the time spent on mundane information gathering.

Revolutionizing Client Interaction Through AI

As BNY embraces AI agents, the impact on client interaction becomes evident. Each agent within the Eliza platform is designed to enhance customer engagement by answering specific queries related to the bank's diverse products—from liquidity solutions to payment options. This technology provides comprehensive support for customer inquiries such as currency availability for credit card launches in foreign markets, thereby creating a more informed and responsive service environment.

Building a Culture Embracing AI

It’s not just the technology itself that makes BNY's approach noteworthy; it’s the ingrained culture that supports its adoption. The bank has made Eliza accessible to all of its 50,000 employees, facilitating an AI-ready environment where team members across various functions collaborate to build custom agents. This cultural shift is essential for success; as Leigh-Ann Russell, BNY’s CIO, emphasizes, AI must be viewed as a universal tool—not just for engineers but for every employee. This democratization of AI usage is driving productivity and enabling new forms of creativity within the bank.

Partnerships Fueling AI Development

BNY's collaboration with Microsoft Azure and its open-source integrative approach using tools like Autogen and LangChain are vital to the success of their AI initiatives. Eliza’s construction around existing technologies ensures robust guardrails are in place to responsibly manage AI output. Such partnerships furnish BNY with feedback loops for continuous improvement and applicability across the financial services sector, enabling the bank to remain ahead in an increasingly competitive landscape.

The Future Outlook for AI in Financial Services

Looking ahead, the potential for AI to revolutionize the financial industry is staggering. With projections estimating AI could contribute nearly $20 trillion to the global economy by 2030, institutions like BNY are not just adapting but reshaping the way they interact with both data and their clients. BNY is focused on transitioning from basic automation to more autonomous, insight-driven operations which will enhance efficiencies and improve risk management. As the banking landscape evolves, the ability to leverage innovative AI solutions will likely become a benchmark for success.

Concluding Thoughts

The journey BNY is undertaking with AI agents is emblematic of a broader trend in the financial services sector. As they unlock the power of AI, they are fundamentally changing how banking operations are conducted and how services are rendered. For those curious about the future of banking, the narrative of BNY's Eliza and its embrace of AI agents serves as an exciting case study into what is possible as technology and finance converge. By fostering an environment where AI is not restricted to select teams, BNY is paving the way for a more efficient, inclusive, and innovative financial framework. Embracing these advancements is not merely a choice for banks; it is an imperative for survival and growth.

Agentic AI

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09.17.2025

How CrowdStrike and Salesforce Are Securing AI Agents and Applications

Update Spotlight on AI Security: CrowdStrike and Salesforce's Collaboration As the integration of artificial intelligence (AI) continues to expand across industries, so does the immediate need for robust security measures. CrowdStrike, a leading cybersecurity firm, has recently joined forces with Salesforce, a giant in customer relationship management, to enhance the security landscape for AI agents and applications. This innovative collaboration aims to ensure that businesses leveraging AI-powered technologies can operate safely and securely, safeguarding sensitive information while enjoying the benefits of modern technology. Understanding the Innovations: Falcon Shield and Security Center The partnership focuses on the integration of CrowdStrike's Falcon Shield with Salesforce Security Center. This collaboration will allow organizations to benefit from greater visibility and automated threat response capabilities specifically designed for software-as-a-service applications. By combining these two powerful tools, the partnership promises a more comprehensive approach to security, allowing Salesforce administrators and security professionals to monitor workflows closely while ensuring compliance with industry regulations. AI's Growing Target: The Rising Threat Landscape With AI agents becoming increasingly prevalent in various sectors, cybersecurity threats targeting these technologies are surging as well. Daniel Bernard, CrowdStrike's Chief Business Officer, has identified a trend: adversaries are now conducting identity-based attacks on AI applications. This type of attack could compromise not only data integrity but also the very functioning of AI systems. The partnership aims to combat these threats by offering solutions that protect critical workflows, thus enabling businesses to transition into agentic AI with confidence. Charlotte AI: A Game-Changer in Threat Response One of the most exciting features of this collaboration is the introduction of Charlotte AI, CrowdStrike’s agentic security analyst. Integrated into Salesforce's Agentforce, Charlotte AI will operate in a conversational manner, providing real-time support within platforms like Slack. This human-like interface not only flags potential threats but also offers actionable recommendations, significantly enhancing the security outcome for businesses that increasingly rely on AI. The Wider Ecosystem: Partnering with AI Leaders In addition to Salesforce, CrowdStrike has formed integrations with other significant players in the AI sector, including Amazon Web Services (AWS), Intel, Meta, and Nvidia. Such strategic partnerships are part of a broader effort to create unified protection across the entire AI ecosystem. By embedding security measures within the frameworks developed by these industry leaders, CrowdStrike aims to foster an environment where enterprises can adopt AI technologies confidently, innovate freely, and mitigate risks effectively. Future Predictions: A Secure Framework for Agentic AI The promise of secure AI extends beyond immediate solutions; it hints at a future where organizations can fully leverage AI’s analytical capabilities without fear of breaches or attacks. By focusing on securing the environment in which AI operates, CrowdStrike and Salesforce may pave the way for a new era of technological infrastructure—one that prioritizes safety as a fundamental component of innovation. Conclusion: The Importance of Securing AI As AI continues to evolve, the collaboration between CrowdStrike and Salesforce underscores the critical need for robust security solutions tailored for this dynamic landscape. Their innovative integrations not only address existing vulnerabilities but also actively prepare organizations for future challenges within the realm of AI. Ensuring the safety and integrity of AI systems is not merely a technical necessity; it's a fundamental requirement for fostering trust and enabling sustainable growth in the AI space.

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