CISO Financial Services schedule

•    Exploring how AI-driven impersonation, account takeover and identity attacks are blurring organizational boundaries.
•    Discussing where cyber, fraud, digital identity and financial-crime teams can collaborate more effectively.
•    Understanding how combining data and intelligence can create a more complete view of threats.

•    Exploring how cloud, SaaS and AI adoption are changing where sensitive financial data resides.
•    Discussing how leaders can establish consistent data-security governance across fragmented environments.
•    Understanding how organizations can enable AI access to enterprise data without creating unacceptable exposure.

•    Exploring how the boundaries between cybersecurity, infrastructure and operational resilience are changing.
•    Discussing how CISOs and CIOs can establish shared accountability for critical technology services.
•    Understanding where investment decisions become difficult when security and transformation priorities compete.

•    Exploring the leadership decisions required during the first hours of a major cyber or technology outage.
•    Discussing how cyber, technology, legal, risk and communications leaders coordinate under pressure.
•    Understanding what tabletop exercises reveal about gaps in authority and accountability.

•    Exploring why financial institutions are reassessing increasingly complex cybersecurity technology estates.
•    Discussing the trade-offs between best-of-breed security and integrated platforms.
•    Understanding how CISOs can evaluate consolidation through cost, capability, resilience and concentration-risk lenses.

•    Exploring how evolving regulatory expectations are changing senior security leadership.
•    Discussing what increased scrutiny means for governance, evidence and executive decision-making.
•    Understanding how CISOs can demonstrate that cybersecurity controls operate effectively rather than simply exist.

•    Exploring how regulatory expectations are shaping cybersecurity priorities across New York financial services.
•    Discussing how organizations can turn regulatory requirements into sustainable security capabilities.
•    Understanding how leaders can prepare for continuing changes in oversight and accountability.

•    Exploring how AI is changing the economics, scale and speed of cyberattacks.
•    Discussing where defensive AI can materially improve detection, investigation and response.
•    Understanding how CISOs should balance automation with human oversight and accountability.

•    Exploring how AI is changing the economics, scale and speed of cyberattacks.
•    Discussing where defensive AI can materially improve detection, investigation and response.
•    Understanding how CISOs should balance automation with human oversight and accountability.

•    Exploring the growth of machine, workload, service and AI-agent identities.
•    Discussing how organizations can establish ownership and governance for identities that aren't employees.
•    Understanding how identity leaders can reduce excessive privileges without restricting transformation.

•    Exploring how generative AI is changing impersonation, onboarding and authentication risk.
•    Discussing how financial institutions can strengthen digital trust without creating customer friction.
•    Understanding where responsibility sits across security, fraud, identity and digital leadership.

•    Exploring how financial institutions are moving from isolated AI pilots toward enterprise-wide deployment.
•    Discussing how leaders can establish consistent governance without creating barriers to adoption.
•    Understanding how security, privacy, data, technology and model risk can operate within a common framework.

•    Exploring how financial institutions are shifting from cyber prevention toward enterprise resilience.
•    Discussing how CISO, CIO, risk and business leadership should divide responsibility during major incidents.
•    Understanding what meaningful resilience investment looks like beyond compliance and recovery plans.

•    Exploring the potential impact of quantum computing on cryptography, data and financial infrastructure.
•    Discussing how leaders can distinguish immediate migration requirements from longer-term risk.
•    Understanding how cryptographic discovery and crypto-agility fit into today's technology roadmap.

•    Exploring which security capabilities financial institutions still consider strategically important to own.
•    Discussing how managed services, automation and platforms are changing sourcing decisions.
•    Understanding how CISOs evaluate capability, cost, control and resilience when selecting strategic partners.

•    Exploring what boards and executive committees increasingly expect from security leadership.
•    Discussing how CISOs can move conversations beyond vulnerabilities, alerts and maturity scores.
•    Understanding how cyber exposure can be communicated through financial, operational and strategic impact.

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.