Agenda

Investigations are at the heart of every effective compliance program. But in today’s increasingly AI-enabled financial industry, they’re also the clearest sign of how well prepared that program is for modern financial crime. As financial institutions face rising complexity (more data, faster payments, tougher regulations, and increasingly sophisticated bad actors), compliance teams dependent on legacy investigative models increasingly fail to keep up. 

In this fireside conversation, Joe Robinson (CEO, Hummingbird) and Ana Davila (Head of Financial Crimes, Ramp) will explore how today's investigations are being transformed into the best practices of tomorrow. Together, they’ll examine what it means to build a program designed to automate away the inefficient and ineffective aspects of a compliance program while re-architecting critical investigation workflows capable of tackling even the most complex of criminal enterprises. From AI-assisted workflows and cross-functional collaboration to human-in-the-loop decisioning and real-time data orchestration, this session will offer practical insights into building a future-ready compliance program – starting with the investigation.

Tom Hardin will share his challenging career journey and the compliance lessons reinforced from insider trading.

He'll vividly describe the spiral of personal connections, deceptive client info, quarterly expectation and market value followed by rationalizations.

This first-person examination from the East Coast investment industry highlights risky behavior and consequences in financial services:

• The Fraud Triangle
• When Information becomes Temptation
• Pressure points in the Investment Sector
• Red Flags in Account and Asset Performance
• Evasion and Tough Questions
• Mentorship and Accountability
• Compliance as the 3rd Parent: guidance and protection

Collaborative small group chats and problem-solving with this year's Sponsors:

• Hummingbird: Compliance Rewired: Navigating the Journey from Legacy Silos to Orchestrated Intelligence
  Compliance teams don’t lack ambition – but they don't have the benefit of a level playing field. They’re hampered by fragmented systems, manual handoffs, and tech debt.
  In this discussion, Hummingbird CEO Joe Robinson will help attendees chart a practical roadmap for transforming a compliance program into something more modern and flexible. In particular, Joe will discuss strategies for modularization, data integration, and AI implementation. The roundtable will deliver real-world insights on how to shift from reactive “case chasing” to proactive oversight.
• SAS: The Compliance Chasm: Bridging AML Gaps in Global Correspondent Networks​
• Castellum.AI: AI Agent Use Cases - How to Get Immediate ROI

  --AI Agents Deliver Measurable ROI: Domain-specific agents can reduce compliance workloads by up to 94% through automated alert adjudication, enhanced due diligence, and SAR filing — without requiring system replacement.
  --Real-Time, Explainable Automation: Agents should leverage continuously refreshed global risk data and integrate seamlessly for rapid ROI.
  --Proven Business Impact: Work with proven agentic partners delivering measurable results, not just chatGPT wrappers.

• Silent Eight: Too Big to Monitor? AML in the Age of Real-Time Payments
  Scaling AML in an Unmanageable World
  --Can AML keep up with rising volume and complexity?
  --Are we reaching a “too big to monitor” point?
  AI and Automation — Game Changer or Risk?
  --Can AI improve detection and cut false positives?
  --How do we ensure trust and accountability?
  The Changing Compliance Team
  --What new skills will compliance need?
  --How do we balance human and machine insight?
• FinScan: Who are you? Technology eKYC and pKYC Trends and Best Practices for 2026

  --Shift from periodic, scheduled checks to event-driven models based on changes in a customer's behavior, product usage, or data.
  --Create unified compliance engines that map varying cross-border regulatory requirements into a single workflow
  --Leverage AI, enhanced verification and remote onboarding to spot risky patterns and create better customer experiences

• SymphonyAI: The Human + Machine Alliance: Reinventing Financial Crime Programs with AI
  This roundtable will examine how the partnership between human expertise and artificial intelligence is redefining financial crime compliance. Discussion will focus on: 
  --how AI can enhance decision-making, streamline investigations, and improve risk coverage—while still relying on human judgment for ethical oversight and contextual understanding
  --best practices for integrating AI into existing compliance frameworks, from model governance and explainability to workforce transformation and upskilling
  --how agentic automation can enhance effectiveness and risk coverage via proactive threat identification and detection

• Quantifind: Purpose-Built AI in Financial Crime: Cutting Through the Hype to What Really Works

  A candid, interactive discussion exploring real-world examples, lessons learned, and practical approaches to adopting purpose-built AI responsibly.
  --The shift from generic AI models to purpose-built intelligence engineered for financial crime detection, compliance, and investigation.
  --Agentic vs. Non-Agentic AI: What the evolution from task-based models to autonomous reasoning systems means for risk detection, false-positive reduction, and investigator enablement.

• CUBE3.AI: Operationalizing verified scam data: How to integrate it into decisioning, rules, and controls
  Led by Jonathan Anastasia: A practical session for fraud, fincrime, and compliance leaders on how to operationalize verified scam intelligence within existing decisioning frameworks.
  Discussion will focus on how to apply scam data across onboarding, payments, and outbound transfers, balance precision with customer experience, and turn verified intelligence into measurable impact across fraud detection and prevention.

• Minerva: Engaging Regulators on AI-Enabled AML: Use Cases, Governance and Demonstrating Compliance
  This roundtable will explore how to engage supervisors early, how much transparency is enough, and what “defensible” actually looks like in practice. We’ll compare notes on what people are telling their regulators when they introduce AI, how they’re documenting explainability and human oversight, and which AI/ML use cases feel safest to socialize versus those that still need more maturity.
  The goal: leave with practical ways to show that AI is enhancing, not weakening, your AML program.

• Nasdaq Verafin: Beyond the Firewall: Strengthening Fraud Defenses in a Connected Financial Ecosystem
  Understand the Multi-Layered Nature of Cybersecurity in Banking:
  Explore how financial institutions must defend both internal infrastructure and customer-facing systems—and why many fraud threats originate outside traditional cybersecurity perimeters.
  Learn How Consortium Intelligence Enhances Fraud Detection:
  Discover how shared signals across institutions—biometrics, behavioral analytics, and real-time data—create a stronger, more accurate defense against account takeover and money mule networks.
  Explore the Role of Trusted Partnerships in a Secure Ecosystem:
  Gain insights into the shared responsibility model between banks and vendors, and why cybersecurity standards across all partners are critical to maintaining trust and resilience.

Sponsor: SAS
This session outlines the growing threat of first-party fraud (FPF), where legitimate customers exploit financial systems for personal gain.  It highlights key fraud types, quantifies the increasing financial impact, and shows potential projections reaching billions in losses.  

To counter the evolving risk, there is an urgent need for cross-industry collaboration, advanced analytics, and stronger authentication to mitigate risk and protect trust across issuers, merchants, and deposit institutions.

The next-generation strategy for Anti-Financial Crime (AFC) moves beyond reactionary, rule-based compliance to an Intelligence-Driven, Proactive Offense. This requires a re-focus on the foundational data layer with on-going data governance.

Leverage advanced analytics to predict and preempt emerging threats for your institution:

– Data First: Establish a "single source of truth" for all underlying customer and transactional data.
– A proactive offense means targeting the underlying criminal activity (the predicate offenses) before the laundering or fraud is complete.
– Technology, including AI, should be adopted strategically in your techstack to augment analysts as a "force multiplier.”

From banking to fintech to government, women are driving a new era of precision, innovation, and purpose in financial crime risk management. Join the Women in Risk and Risky Women collectives as these industry leaders share how they’re transforming compliance, leveraging AI responsibly, and shaping the future of financial integrity through collaboration and courage.

Sub-Topics: 

Discover how intelligent automation pinpoints financial crime signals and empowers institutions to detect and disrupt illicit threats.

Insights from women advancing leadership in financial crime and risk intelligence

A conversation that welcomes allies - leaders who champion and sponsor women in risk roles

Opportunities to connect, share experiences, and spark action

A wide-ranging conversation addressing cross-border coordination, regulatory considerations and future outlooks.
Moderator: Chris Caruana, Conference Chair