Navigating AI in Cybersecurity

This chapter addresses the challenges security leaders face in implementing AI technologies, focusing on enhancing security measures while managing risks. It highlights the evolving landscape of job roles in cybersecurity as AI integration begins to transform traditional responsibilities and emphasizes the need for new skills and training. Additionally, the discussion explores the broader societal implications of AI, including the balance between human interaction and the efficiency of AI-driven solutions.

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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.

Guest Socials - ⁠Matt's Linkedin

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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