Featuring:
Dor Sarig - Co-Founder of Pillar Security
Vrajesh Bhavsar - Co-Founder of Operant AI
In this episode, the hosts discuss the critical aspects of AI security with industry experts. They explore the unique challenges posed by AI technologies, the role of CISOs in navigating these challenges, and the emerging threats that organizations face. The conversation emphasizes the importance of data control, compliance, and the need for robust testing and red teaming strategies. The experts also highlight industry-specific concerns and the future of AI security tools, providing valuable insights for organizations looking to secure their AI applications.
Takeaways
AI fundamentally changes how we approach security.
Protecting sensitive data and models is crucial.
Security must enable innovation, not hinder it.
Data is now executable, increasing risks.
CISOs need to focus on compliance and data control.
Emerging threats require new security strategies.
Testing AI systems is complex and requires new methods.
Industry-specific regulations impact AI security needs.
Collaboration between security and data teams is essential.
The future of AI security tools is evolving rapidly.
Chapters
00:00 Introduction to AI Security
02:29 Understanding the Shift in Security Paradigms
05:18 The Rapid Evolution of AI Technologies
07:45 CISO Perspectives on AI Security
10:13 Top Concerns in AI Security
11:59 Emerging Threats and Attack Vectors
14:27 Data Governance and Compliance Challenges
17:21 The Role of Security Teams in AI Programs
22:30 Collaboration Between Security and Data Science
23:39 The Importance of Data Control in AI Security
25:00 Understanding Risks in AI Security
29:02 Identifying Malicious vs. Benign Activities
31:26 The Role of Testing Infrastructure in AI Security
33:45 Industry-Specific Security Concerns
35:52 Red Teaming and AI Security Testing
39:10 The Need for Comprehensive Threat Modeling
41:21 Data Security in the Age of AI
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