The Current State of AI and the Future for CyberSecurity in 2024

Nov 4, 2024

Guest

Vijay Bolina

Jason Clinton, CISO at Anthropic, Kristy Hornland, Cybersecurity Director at KPMG, and Vijay Bolina, CISO at Google DeepMind, discuss the pivotal intersection of AI and cybersecurity. They explore AI's transformative impact on secure coding practices and the evolution of software development. The guests highlight risks surrounding AI-generated code, the complexities of multimodal models, and the imperative of responsible AI use. They emphasize the need for robust data governance and proactive risk management within organizations as they prepare for 2024 and beyond.

Ask episode

Chapters

Transcript

Episode notes

Intro

00:00 • 3min

Navigating AI Security and Model Dynamics

02:31 • 5min

Navigating Multimodal AI: Risks and Rewards

07:54 • 13min

AI's Role in Secure Software Development

20:38 • 6min

Understanding AI and Robotic Process Automation in Modern Workflows

26:16 • 2min

Exploring AI Communication: Current Methods and Future Possibilities

27:48 • 2min

Navigating AI's Risks and Rewards

29:24 • 8min

Navigating AI in Organizational Risk Management

37:44 • 15min

AI Strategies in Cybersecurity

52:41 • 5min

Navigating AI Integration in the Workplace

57:30 • 16min

Evolving Roles and Future Innovations in Cybersecurity and AI

01:13:30 • 3min

In this jam-packed episode, with our panel we explored the current state and future of AI in the cybersecurity landscape. Hosts Caleb Sima and Ashish Rajan were joined by industry leaders Jason Clinton (CISO, Anthropic), Kristy Hornland (Cybersecurity Director, KPMG) and Vijay Bolina (CISO, Google DeepMind) to dive into the critical questions surrounding AI security. We’re at an inflection point where AI isn’t just augmenting cybersecurity—it’s fundamentally changing the game. From large language models to the use of AI in automating code writing and SOC operations, this episode examines the most significant challenges and opportunities in AI-driven cybersecurity. The experts discuss everything from the risks of AI writing insecure code to the future of multimodal models communicating with each other, raising important questions about trust, safety, and risk management. For anyone building a cybersecurity program in 2024 and beyond, you will find this conversation valuable as our panelist offer key insights into setting up resilient AI strategies, managing third-party risks, and navigating the complexities of deploying AI securely. Whether you're looking to stay ahead of AI's integration into everyday enterprise operations or explore advanced models, this episode provides the expert guidance you need

Questions asked:

(00:00) Introduction

(02:28) A bit about Kristy Hornland

(02:50) A bit about Jason Clinton

(03:08) A bit about Vijay Bolina

(04:04) What are frontier/foundational models?

(06:13) Open vs Closed Model

(08:02) Securing Multimodal models and inputs

(12:03) Business use cases for AI use

(13:34) Blindspots with AI Security

(27:19) What is RPA?

(27:47) AI’s talking to other AI’s

(32:31) Third Party Risk with AI

(38:42) Enterprise view of risk with AI

(40:30) CISOs want Visibility of AI Usage

(45:58) Third Party Risk Management for AI

(52:58) Starting point for AI in cybersecurity program

(01:02:00) What the panelists have found amazing about AI