PODCAST

Perspectives in IoT - Cyber AI - more than meets the eye

Bringing lessons of experimental cognition to bear on hybrid human/AI cyber systems

Charles A. Jacco

Charles A. Jacco

Principal, Cyber Security, KPMG US

+1 212-954-1949

Matthew P. Miller

Matthew P. Miller

Principal, Advisory, Cyber Security Services, KPMG US

+1-571-225-7842

Brad Raiford

Brad Raiford

Director Advisory, Cyber Security Services, KPMG US

+1 832-527-5624

Kristy Hornland

Kristy Hornland

Manager Advisory, Cyber Security Services, KPMG US

+1 425-281-5251

Podcast overview

Artificial Intelligence (AI) and Machine Learning (ML) have unlocked the potential for organizations to run more efficiently and solve complex challenges like disease identification, fraud reduction and more. Their capacity to support intelligent decisions without the same emotional constraints or framing biases that impact human decision unlock the door to truly improve cyber resiliency of organizations. By further diving into how AI / ML has been developed, teams can take an informed approach in designing cyber programs of the future to approach these threats in real time, arrive at solutions faster under pressure, and better support cyber professionals in an increasingly demanding landscape.

Join us as Brad and Kristy discuss with Jeff Cornelius experimental cognition, the underlying behaviors that influence how humans and machines make decisions, and how both can be partnered for better.

In this episode, you will learn about:

  • Context-dependent memory
  • Behavioral cognition
  • How can we take lessons learned from how AI and ML are designed to upskill cyber staff

Speakers

Brad Raiford

Brad Raiford

Director Advisory, Cyber Security Services, KPMG US

Kristy Hornland

Kristy Hornland

Manager Advisory, Cyber Security Services, KPMG US

Jeff Cornelius

Jeff Cornelius

EVP, Cyber-Physical Security, Darktrace