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The Current State of AI and the Future for CyberSecurity in 2024
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
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By Kaizenteq Team
4.9
88 ratings
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
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