Generative AI is rapidly transforming financial services, embedding itself into chatbots, lending workflows, fraud detection, KYC processes, and employee copilots. But as adoption accelerates, so does a new class of attacks that exploit how these systems think, respond, and access data.
In this fast-moving, jargon-free webinar, Paul Starrett breaks down the emerging AI threat landscape in plain English helping financial institutions understand what is changing, why it matters, and how to respond with confidence.
This 60-minute session focuses on the three core AI attack vectors already impacting the industry: chatbot manipulation, AI data leakage, and deepfake-driven identity fraud. You will also learn how these risks map directly to OWASP, MITRE ATLAS, and Federal Reserve SR 11-7 frameworks that regulators are beginning to reference.
After attending, participants will be able to:
- Identify the three AI attack vectors now in active use against financial institutions, prompt injection and training-data poisoning, AI data leakage and RAG exposure, and deepfake-enabled identity fraud.
- Distinguish AI-era attacks from traditional cyber attacks — why language replaces code, why your existing perimeter and signature tools do not see these threats, and what that means for your control library.
- Map every AI risk to the three frameworks examiners will reference — OWASP LLM Top 10 (application layer), MITRE ATLAS (adversarial ML), and Federal Reserve SR 11-7 (model risk governance).
- Build a defensible, layered control stack — input classifiers, system-prompt hardening, tool allow-listing, output guardrails, and continuous red-team testing, with named vendor tools at each layer.
- Detect deepfake and synthetic-media fraud — what audio, video, behavioral, and cross-channel telemetry to fuse, and which vendors play where.
- Bring AI inside your existing model risk regime — practical SR 11-7 mapping for LLMs, RAG stores, and agentic systems, so AI governance lives where the regulator already looks.
This webinar is designed for: Risk managers and compliance officers, IT and cybersecurity professionals, Executives and senior leadership, Model risk management teams, Anyone overseeing or evaluating AI deployment in financial services. No technical background is required. This session is designed to be clear, accessible, and immediately actionable.
Why Attend: AI-related threats are no longer theoretical, they are already being used against financial institutions today. Understanding these risks is now essential for maintaining operational resilience, regulatory alignment, and customer trust.
This session will give you the clarity and structure you need to confidently evaluate AI risks, strengthen internal controls, and prepare for increasing regulatory scrutiny.
Final Note: Don’t wait until AI-driven attacks are embedded in your environment. Join this session to gain the frameworks, tools, and practical guidance needed to stay ahead of emerging threats and build a defensible AI security posture now.
Instructor
Paul Starrett

Paul Starrett works at the intersection of law and technology, especially artificial intelligence—advising on complex litigation, investigations, and regulatory matters involving emerging technologi... read more.
