Format
Full day
Programming
5 focus areas
Audience
300 senior leaders
Expertise
50 speakers
CREDENTIALS
6 CEUs
Built for security and risk leaders across financial services
About the Forum
Deploying AI while maintaining trust, resilience, and accountability.
The institutions that succeed in the AI era will be those that can deploy AI while maintaining trust, resilience, accountability, and regulatory compliance. Bringing together senior leaders from banking, payments, insurance, fintech, and financial infrastructure, this executive forum explores the security, governance, risk, and operational challenges of AI adoption. Through keynote presentations, executive discussions, and peer networking, attendees will gain practical insights into AI governance, fraud prevention, operational resilience, regulatory readiness, and the future of agentic AI.
Designed for senior decision-makers across cybersecurity, technology, risk, fraud, compliance, and AI leadership, the Financial Services AI Security Forum delivers the strategies, connections, and perspectives needed to build secure, trusted, and resilient AI-enabled financial services.
Expert-led sessions, candid peer discussion, and emerging solution showcases — complemented by a catered breakfast, an executive networking lunch, and a closing cocktail reception.
AI Governance & Risk
Accountability, oversight, controls, and enterprise risk models for responsible AI adoption
Identity, Machine Trust & Delegated Authority
How AI agents, machine identities, and delegated decision-making are changing the trust model.
Fraud, Financial Crime & AI
How AI is transforming both attack patterns and detection strategies across financial services.
Operational Resilience & Regulatory Readiness
Preparing for AI-related operational risk, business continuity requirements, and evolving regulatory expectations.
Autonomous Security Operations & Agentic AI
Evaluating AI-driven automation, autonomous workflows, and the future of human-machine collaboration in cyber defense.
Five focus areas, one continuous track.
The Forum follows a single, curated agenda — no competing breakouts. Each focus area translates the convergence of AI and finance into frameworks you can put to work, balancing innovation with accountability, security, and resilience.
AI Governance & Risk
Accountability, oversight, controls, and enterprise risk models for responsible AI adoption
- Building enterprise AI governance frameworks and operating models.
- Aligning AI initiatives with regulatory requirements and risk appetite.
- Managing model inventories, lifecycle governance, and accountability.
- Evaluating and monitoring third-party and embedded AI.
Identity, Machine Trust & Delegated Authority
How AI agents, machine identities, and delegated decision-making are changing the trust model.
- Securing non-human, machine, and AI-agent identities at scale.
- Governing delegated authority and authorization for autonomous actions.
- Extending zero-trust principles to AI-driven workflows.
- Establishing provenance, attestation, and machine trust.
Fraud, Financial Crime & AI
How AI is transforming both attack patterns and detection strategies across financial services.
- Defending against deepfakes and synthetic identity fraud.
- Countering AI-driven fraud across banking, insurance, and payments.
- Applying AI to detection, investigation, and response.
- Balancing fraud controls with customer experience.
Operational Resilience & Regulatory Readiness
Preparing for AI-related operational risk, business continuity requirements, and evolving regulatory expectations.
- Building operational resilience for AI-dependent services.
- Preparing for evolving operational-resilience regulation.
- Incident response, continuity, and recovery for AI systems.
- Maintaining audit trails and examination readiness.
Autonomous Security Operations & Agentic AI
Evaluating AI-driven automation, autonomous workflows, and the future of human-machine collaboration in cyber defense.
- Applying agentic AI to detection, triage, and response.
- Designing guardrails and human-in-the-loop oversight.
- Governing AI systems that take autonomous action.
- Measuring trust, accuracy, and accountability in the SOC.
300 of the people accountable for AI risk.
The room convenes senior financial services security, risk, technology, fraud, and compliance leaders — the people setting AI strategy and answering for it.
Take home governance and security frameworks you can apply immediately.
Benchmark your AI program against peers facing the same pressures.
Build relationships that outlast the day, in a curated, senior room.
Agenda Highlights
High-impact sessions that help financial and security leaders adopt AI safely, manage emerging risk, and strengthen resilience — through expert-led discussion, peer networking, and solution showcases.
Closing the Loop: Turning Human Expertise into Actionable Intelligence for Financial Crime Investigations
Every cybercrime investigation generates valuable human insight, but too often that knowledge remains trapped in case notes, individual experience, or disconnected workflows. The next evolution of AI is not simply automating investigations; it is capturing human expertise, transforming it into structured data, and creating continuous feedback loops that make every investigation smarter than the last.
In this session, Abhishek Mittal of AML RightSource will explore how financial institutions can convert investigator knowledge into actionable data streams that continuously improve detection, decision-making, and operational effectiveness. Attendees will learn how meaningful metrics, investigator feedback, and AI can work together to identify emerging threats, refine investigative models, and accelerate the fight against financial crime. The discussion will examine practical approaches to building intelligence-driven feedback loops that enable organizations to learn from every case, adapt more quickly to evolving criminal tactics, and strengthen both operational resilience and fraud prevention. Participants will leave with a framework for transforming human expertise into a scalable, data-driven advantage in the ongoing battle against cyber-enabled financial crime.
The AI Governance Playbook: Moving from Policy to Practice
As AI becomes embedded across financial services, governance can no longer exist only as a framework on paper. Financial institutions are being challenged to operationalize AI governance across business units, technology teams, security, risk, compliance, and executive leadership, while keeping pace with rapidly evolving regulations and innovation.
In this panel, senior leaders will share how their organizations are turning governance strategies into measurable, enterprise-wide practices. From defining ownership and accountability to strengthening model oversight, managing third-party AI risk, and delivering meaningful board reporting, panelists will discuss what it takes to build governance programs that enable innovation while maintaining trust, resilience, and regulatory confidence. Attendees will leave with practical insights into creating governance that scales with AI adoption, not behind it.
Buying AI or Building AI: Strategic Decisions for Financial Institutions
Every financial institution is facing the same question: Should we build our own AI capabilities, buy commercial solutions, or pursue a hybrid approach? The answer has significant implications for security, governance, cost, innovation, and long-term competitive advantage.
In this panel, financial services executives will examine the strategic tradeoffs behind today's AI investment decisions. Panelists will discuss how they evaluate vendor risk, balance the use of proprietary and open-source models, measure return on investment, and address the governance and security challenges that come with each approach. Attendees will gain practical insights into the decision-making frameworks leading organizations are using to adopt AI responsibly while aligning technology investments with business objectives.
Presentation with Manish Andhy, Financial Services AI Executive, Teradata: From Innovation to Accountability: Managing AI Risk and Compliance in Financial Services
As financial institutions accelerate the adoption of AI, the opportunity to transform fraud detection, financial crime compliance, risk management, and customer experiences is significant. But so are the governance and regulatory challenges. Financial services organizations must determine how to innovate with AI while maintaining the transparency, control, and accountability expected in one of the world’s most highly regulated industries.
In this session, Manish Andhy, Financial Services AI Executive at Teradata, will explore the evolving risk and compliance landscape surrounding AI in financial services. He will examine how institutions can address issues such as model risk, data governance, explainability, regulatory oversight, and the emerging complexities of generative and agentic AI. Attendees will gain practical perspectives on building governance and compliance into AI initiatives from the outset, enabling organizations to move AI into production responsibly while maintaining the trust of regulators, customers, and the business.
Beyond Today: What's Next for AI in Financial Services
For financial services leaders, the conversation has shifted from whether to adopt AI to how to scale it securely, govern it effectively, and prepare for what's next. As AI becomes deeply embedded across security operations, fraud detection, customer experiences, software development, and enterprise decision-making, the next wave of innovation is already taking shape.
This executive panel brings together experienced cybersecurity and technology leaders to examine the future of AI beyond today's deployments. The discussion will explore the rise of agentic AI, autonomous security operations, machine identities, AI-to-AI interactions, evolving regulatory expectations, and the new trust models required as intelligent systems gain greater autonomy. Panelists will also discuss how attackers are leveraging AI, where defensive capabilities are headed, and what leadership teams should be doing now to prepare for the next generation of AI-enabled financial services.
Attendees will gain practical insights into the strategic decisions, governance models, and security investments that will position their organizations to confidently navigate the next chapter of AI innovation
Presentation with John K. Thompson, Lecturer, Grand Valley State University: AI: Where are we now and where will we be in 5 years?
The number of AI pundits and experts seems to keep expanding. How do you know what is happening in AI with any certainty? Come to this session to hear a practitioner talk about where we are with current technology and where we are going. Given his nearly 4 decades of experience in building AI environments, applications, and platforms, John will talk about what works and what doesn’t. With clear guidance, you can place your bets and make commitments that you know will pay off. Bring your questions and be ready to discuss your challenges and concerns about AI.
From Code to Confidence: Embedding Risk and Governance Across the AI Application Lifecycle
As financial institutions race to move AI-powered applications from concept to production, the biggest challenge is no longer building the technology, it is deploying it securely, responsibly, and at enterprise scale. Success requires far more than development and testing. It demands a governance strategy that is embedded throughout the entire application lifecycle.
In this session, Venkata Cheedella will provide a 360-degree view of what it takes to take modern applications, including AI-enabled systems, safely into production. From architecture and secure development to model governance, compliance, third-party risk, operational resilience, and continuous monitoring, attendees will explore where security, risk, and governance intersect with every stage of delivery. The discussion will also examine how cross-functional collaboration between engineering, security, risk, legal, and business leaders enables organizations to accelerate innovation without sacrificing trust or regulatory expectations.
Designed for cybersecurity executives and practitioners in financial services, this session will provide practical insights into building governance into the development pipeline, reducing production risk, and creating an application delivery process that is both agile and resilient in an AI-driven world.
AI Governance, Risk & Compliance
As artificial intelligence becomes embedded across financial services, organizations must establish clear governance structures to ensure AI is deployed responsibly, securely, and in compliance with evolving regulations. This summit track will explore how cybersecurity, risk, compliance, and business leaders can build effective frameworks that balance innovation with accountability, transparency, and operational resilience.
Attendees will learn how leading financial institutions are creating AI governance programs that include policies, oversight committees, model inventories, risk assessments, and clear lines of accountability. Experts will also examine the growing regulatory landscape—from SEC and OCC guidance to the EU AI Act and NIST AI Risk Management Framework—and provide practical guidance for managing third-party AI risk across cloud, fintech, and generative AI providers.
Key Takeaways:
• Best practices for building enterprise AI governance frameworks and operating models.
• Strategies for aligning AI initiatives with regulatory requirements and risk management objectives.
• Approaches for managing AI model inventories, lifecycle governance, and accountability structures.
• Guidance for evaluating and monitoring third-party AI vendors and technology partners.
• Real-world examples of balancing innovation, compliance, and operational resilience.
• Actionable insights for developing responsible and trustworthy AI programs.
Securing AI Systems
As AI capabilities become more powerful and accessible, attackers are increasingly targeting the models, data, and infrastructure that power them. This summit track will focus on the emerging threats facing AI systems and the security controls financial institutions need to deploy AI safely and confidently.
From adversarial attacks and model manipulation to prompt injection and AI-powered fraud, experts will share practical strategies for protecting AI applications throughout the development and deployment lifecycle. Attendees will explore secure architectures for generative AI, learn how to implement effective guardrails and access controls, and discover how AI red teaming can uncover vulnerabilities before they become business risks.
Key Takeaways:
• Understanding emerging threats targeting AI models and AI-enabled applications.
• Strategies for mitigating prompt injection, model poisoning, data poisoning, and evasion attacks.
• Best practices for securing generative AI deployments and large language model integrations.
• Guidance for implementing secure RAG architectures, monitoring, and access controls.
• Practical approaches to AI red teaming, validation, and security testing.
• Insights into defending against AI-driven fraud, abuse, and manipulation in financial environments.
Resilience, Risk, and Results: Aligning Security with Business Outcomes
Data is the foundation of every successful AI initiative, but it also represents one of the greatest sources of risk. This summit track will explore how financial institutions can protect sensitive information while enabling AI-driven innovation, analytics, and automation.
Industry leaders will discuss strategies for safeguarding customer information, transaction data, and proprietary business assets across AI workflows. Sessions will cover privacy-preserving technologies, secure data-sharing models, and governance practices that help organizations maintain compliance, transparency, and trust. Attendees will also learn how to address growing challenges related to data classification, retention, lineage, and oversight in increasingly complex AI ecosystems.
Key Takeaways:
• Best practices for protecting sensitive financial data used by AI systems.
• Strategies for managing PII, customer records, transaction data, and confidential business information.
• Insights into privacy-preserving AI techniques, including federated learning and differential privacy.
• Approaches for enabling secure data sharing while maintaining regulatory compliance.
• Guidance for strengthening data governance through classification, retention, lineage, and monitoring.
• Practical recommendations for reducing data security and privacy risks across AI-powered operations.
Practitioners, not panelists.
Our speakers bring real-world experience in cybersecurity, risk, and business strategy. Through keynotes, panels, and candid discussion, they deliver insights security leaders can act on.
Dustin Sachs
Venkata Ramanand
Abhishek Mittal
Donna Ross
Cybersecurity, Risk, and Compliance Executive
Donna L. Ross is a seasoned cybersecurity, risk, and compliance executive with more than 30 years of leadership experience spanning financial services, insurance, healthcare, manufacturing, technology, and retail. Throughout her career, she has built and led enterprise security, risk management, compliance, privacy, and resiliency programs for highly regulated organizations.
Most recently, Donna served as Executive Vice President and Chief Information Security Officer at Radian, where she was responsible for the company’s information security, cyber resilience, privacy, and risk management strategies. Prior to joining Radian, she held senior leadership roles at Accolade, Corning Incorporated, GMAC, and Prudential, leading global programs focused on information security, technology risk management, compliance, governance, and disaster recovery. At Accolade, a leading healthcare concierge and advocacy company, Donna served as Head of Information Security and Chief Compliance Officer. At Corning Incorporated, she led Information Risk Management initiatives supporting the company’s global technology environment.
Donna earned a bachelor's degree in Economics and Business Administration with a concentration in Marketing from the State University of New York at Brockport and holds an Ithaca College Cybersecurity Certificate. A lifelong learner, she has earned numerous industry certifications, including C|CISO, CRISC, CGEIT, CISM, CDPSE, GSEC, FLMI, ACS, and CTM.
A recognized leader within the cybersecurity community, Donna has dedicated significant time to advancing industry collaboration and public-private partnerships. She was a founding committee member on the FBI’s Automated Network Cyber Attack Reporting System initiative and has served on the Advisory Board of SecureWorld Philadelphia, where she frequently speaks on cybersecurity, privacy, threat management, and emerging technology risks. She maintains strong relationships with government and industry cybersecurity professionals through her long-standing involvement with InfraGard and has received two awards from the Director of the FBI for Exceptional Service to the Public Interest, as well as the President’s Call to Service Award.
Donna’s contributions have been recognized through numerous honors, including the Titan 100, CISOs Connect CISO Choice Award, Global CISO 100, and HousingWire Women of Influence. She remains actively involved in professional and community organizations, including InfraGard, ISACA, Women in CyberSecurity (WiCyS), the United Way, the American Red Cross, and Big Brothers Big Sisters.
Following her retirement from Radian in September 2026, Donna continues to support the cybersecurity community through advisory work, board service, speaking engagements, mentoring, and industry events. She is passionate about helping organizations strengthen resilience, develop future cybersecurity leaders, and foster meaningful collaboration across the security profession.
Manish Andhy
J.D. Miller
J.D. Miller has hosted more than 650 executive events and has been behind the microphone for thousands of live and virtual engagements throughout his 25+ year career. A former television journalist with CBS, NBC, and FOX affiliates, he brings a journalist's curiosity and interviewing expertise to every discussion—asking insightful questions that uncover meaningful perspectives while creating content that informs, engages, and inspires.
A seasoned marketing executive and spokesperson, J.D. has led global marketing teams and developed strategic initiatives across technology companies, financial institutions, nonprofit organizations, and agencies. He has also helped organizations navigate mergers and acquisitions, leading transformational efforts across marketing, technology, and business operations.
An award-winning television journalist, J.D. has served as a global technology spokesperson and industry analyst for CNBC, FOX Business, Bloomberg, Yahoo Finance, TheStreet, and other leading media outlets. He is also the author of Ringmaster of AI: Suite Speak Conversations.
Recognized for his engaging and insightful moderation style, J.D. has led executive interviews, high-profile panel discussions, and industry conferences, facilitating conversations that surface valuable insights and spark meaningful dialogue. His ability to connect with executives, audiences, and industry leaders has made him a trusted moderator and sought-after host for both live and virtual events.
Susan Koski
Susan Koski is the CISO and Head of Enterprise Information Security for The PNC Financial Services Group. She is responsible for Information Security Strategy, Digital Identity for customers and the workforce; Data Protection; Fusion Center (cyber, insider, physical and fraud monitoring); Vulnerability Management; Threat Intelligence; Security Incident Management; Application Security; Security Metrics; Cloud Security; and Security Policy, Governance and Assessments.
Susan has more than 25 years of experience in Information Technology (IT), cybersecurity, business continuity, third-party risk management and IT risk management. She has also served in executive leadership roles with BNY Mellon (Managing Director of Technology Risk Management), Synovus (Chief Information Security Officer - CISO) and Aetna (Chief Data Protection Officer).
Susan has a record of rebuilding programs and developing highly functional teams. She re-engineers processes and technology for efficiency and innovation – or “Effovation” – creating opportunities for teams to achieve continuous learning and development through the use of creativity to tackle complex issues.
Susan holds a Bachelors of Science in Electrical Engineering (cum laude) from the University of Pittsburgh and an Masters in Business Administration (summa cum laude) from Duquesne University.
She is a CISO Executive Network Advisory Council member, Governing Body Member for the Evanta Pittsburgh CISO program, Advisor for the Robert Morris University Information Systems & Communications PhD Advisory Board and member of the BITS Security Steering Committee.
Roni Fuchs
Roni is a co-founder and the CEO of Legit Security. In previous roles, Roni led Product and Business Units at Checkmarx and Microsoft, both after startup acquisitions. Roni’s early career was in the Israeli Defense Force’s Unit 8200. In his free time, Roni enjoys traveling with his family and trying different local cuisines.
John K. Thompson
John is an international technology executive and innovator with over 39 years of experience in the fields of data, advanced analytics, and artificial intelligence (AI).
John is an independent consultant and he teaches at Grand Valley State University in the College of Computing. He also teaches at Penn State University in the Smeal College of Business, and the Ross Business School at the University of Michigan. He teaches classes based on his books and on the subjects of AI, and Building and Managing Analytics teams at leading universities in the US and Europe.
Previously, John was the global head of AI at EY. His role was to actively lead the design, development, implementation, and use of innovative AI solutions, including Generative AI, Traditional/Classical AI, and Causal AI, across all of EY Service Lines and functions and for EY's clients. The team was comprised of - an Applied AI Research group, a product development organization, and an AI Consulting Practice.
Prior to EY, he was responsible for the AI and advanced analytics team at CSL Behring, a leading biopharmaceutical company where he led a team that developed and deployed over 25 analytical applications in 4 years. John was an Executive Partner at Gartner, where he was management consultant to market leading companies in the areas of digital transformation, data monetization and advanced analytics. Before Gartner, John was responsible for the advanced analytics business unit of the Dell Software Group.
John’s most recent book – The Path to AGI examines the most practical and pragmatic path forward to developing Artificial General Intelligence (AGI). The book focuses on the long-term evolutionary path of Artificial Intelligence (AI). As a field of technology, we have developed a substantial body of technology, tools, techniques, methodologies, approaches, and more in the broader field of AI over the last 70 years. The advances and advancement have been impressive, continuous, and very useful to all of society. To date, AI has been a technological success. AI has been a business success. Also, AI has been a success for all of humanity. Most of the people in the world have heard about AI. While most people have heard of AI, they really do not understand much if anything about AI. This lack of knowledge presents an opportunity for those that are less interested in real technological progress and more interested in chicanery to have an opening to mislead people about where we are in relation to achieving AGI on a widespread basis. This session is about the real, practical, pragmatic journey needed to achieve AGI. AGI is not here now. AGI will not be here in the next 3 to 5 years. AGI is hard. AGI is a long way from where we are today. If you really want to know how we will arrive at AGI and when, then you will enjoy this book..
John’s 4th book – Causal Artificial Intelligence, is intended to provide guidance for data scientists, by providing deep technical information as well as the type of information needed to collaborate with subject matter experts (SMEs). SMEs hold deep organizational knowledge about how each business operates. Business executives and managers must be able to guide the combined team based on the direction that the organization wants to take and the problems that need to be solved. The book is meant to be a primer on how teams can work together to derive value from this new pillar of the AI field.
John’s 3rd book is an effort to raise awareness and knowledge of the topic of data – Data for All, has been written for the general public, the book is an outline of how the world of data works today and how it will work in the near future. The book instructs people in how to protect and manage their data and the data of their loved ones. Data for All communicates how to do this in applied and practical terms.
John is the author of the bestselling book – Building Analytics Teams: Leveraging analytics and artificial intelligence for business improvement. The book was published in June 2020 and outlines how to hire and manage high performance advanced analytics teams. The book outlines how to engage with executives and senior managers, and how to select and undertake analytics projects that change and improve how a business operates.
John is co-author of the bestselling book – Analytics: How to win with Intelligence, which debuted on Amazon as the #1 new book in Analytics in 2017. Analytics is a book that guides non-technical executives through the journey of creating an analytics function, funding initiatives, and driving change in business operations through data and applied analytical applications.
Mr. Thompson’s technology expertise includes all aspects of advanced analytics and information management including – descriptive, predictive, and prescriptive analytics, artificial intelligence, analytical applications, deep learning, cognitive computing, big data, simulation, optimization, synthetic data, and high-performance computing.
John has built start-up organizations from the ground up and he has reengineered business units of Fortune 500 firms to reach their potential. He has directly managed and run - sales, marketing, consulting, support, and product development organizations.
He is a technology leader with expertise and experience spanning all operational areas with a focus on strategy, product innovation, growth, and efficient execution.
Thompson holds a Bachelor of Science degree in Computer Science from Ferris State University and a MBA in Marketing from DePaul University.
John Pepe
John Pepe is the Regulated Industry Advisor and Resident Chief Legal and Compliance Officer at Proofpoint, where he oversees the legal and compliance practice within the Digital Communications Governance (DCG) Group. He advises highly regulated and litigious customers on industry best practices and helps shape Proofpoint’s DCG compliance strategy. John has more than 20 years of experience in legal and compliance technology, including 8 years at Proofpoint, and has also served as an Industry Advisor, Division Manager, Product Marketing Manager, and Product Manager at other leading DCG providers.
Before moving into technology, John spent 10 years in the legal and compliance departments of trading firms, broker-dealers, and investment banks. He held FINRA Series 7, 24, 14, 4, 51, and 55 licenses, and served as Chief Compliance Officer on the Floor of the New York Stock Exchange. He earned a Juris Doctor in Corporate and Securities Law from Rutgers Law School and a BA from Rutgers University.
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The institutions that succeed in the AI era will be those that deploy it while maintaining trust, resilience, and accountability.
Financial Services AI Security Forum · December 9, 2026
Two ways to take part.
Attendance is curated to keep the room senior and the conversation candid. Choose the pass that fits your role.
Full access to the single-track program, peer roundtables, and the closing reception.
All keynotes, panels, and sessions
Catered breakfast & executive networking lunch
Closing cocktail reception
Reach a curated audience of decision-makers through a sponsorship or partnership package tailored to your goals.
On-site presence with senior buyers
Speaking & showcase opportunities
Brand alignment with the program
Practitioner registration is subject to approval to preserve the seniority and balance of the room. Seats are limited to 300. Early registration is encouraged.
Align your brand with the leaders securing AI in finance.
The Forum partners with respected organizations across technology, information security, and business leadership. Sponsorship opportunities span eight categories: Cybersecurity, Identity & Access Management, Fraud Prevention, Cloud & Infrastructure, AI Platforms, Governance Risk & Compliance, Financial Technology, and Consulting & Professional Services.
Sponsors and partners to be approved.
Be Part of the Conversation Shaping the Future of AI in Financial Services
Join the industry's leading security, technology, risk, fraud, and compliance executives for a day of candid discussions, practical insights, and meaningful peer connections. Whether you're building your AI strategy, strengthening governance, or preparing for the next generation of AI-enabled financial services, the Financial Services AI Security Forum is where leaders come together to define what comes next.
Register today to secure your place among the executives driving trust, resilience, and responsible AI adoption across financial services
Limited to 300 seats · registration closes when capacity is reached
1335 Avenue of the Americas
New York, NY 10019, US
We have reserved a block of discounted rooms exclusively for our registered attendees. Please use the link below to secure your reservation.
Deadline to book is October 30, 2026. After this date, the room rate will be subject to availability.


















