Navigating Cybersecurity in the Age of AI

This chapter explores the transformation of cybersecurity challenges as AI tools, like Microsoft Copilot, become more prevalent in industries. It highlights the balance organizations must maintain between leveraging AI for efficiency and safeguarding against sophisticated threats, including data integrity risks. The conversation underscores the importance of proactive security measures and responsible AI development to protect sensitive information in a rapidly evolving landscape.

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AI is reshaping cybersecurity as we know it. From sophisticated AI-driven phishing attacks to the amplified risk of insider threats using tools like Copilot, the landscape is shifting at an unprecedented pace. How can security leaders and practitioners adapt?

Join Ashish Rajan and Matthew Radolec (Varonis) as they explore the critical challenges and opportunities AI presents. Learn why 86% of attacks involve credential misuse and how AI agents are making it easier than ever for non-technical insiders to exfiltrate data.

In this episode, you'll learn about:

The "Blast Radius": How AI tools can dramatically increase data exposure.
From "Breaking In" to "Logging In": The dominance of credential-based attacks.
AI-Powered Social Engineering: The rise of "conversational bait".
Copilot Use Cases & "Aha!" Moments
Data Integrity in AI: The critical, overlooked pillar of AI security.
The Enduring Importance of Access Management in an AI World.
Transforming Security Operations: AI for incident response, playbooks, and forensics.

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If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Cybersecurity Podcast

Questions asked:

(00:00) Introduction

(01:57) New Threat Landscape in Cloud & AI

(08:08) Use cases for regulated industries

(10:03) Impact of Agentic AI in the cybersecurity space

(12:22) Blind spots of going into AI

(18:06) Shared responsibility for LLM providers