As Artificial Intelligence reshapes our world, understanding the new threat landscape and how to secure AI-driven systems is more crucial than ever. We spoke to Ankur Shah, Co-Founder and CEO of Straiker about navigating this rapidly evolving frontier.
In this episode, we unpack the complexities of securing AI, from the fundamental shifts in application architecture to the emerging attack vectors. Discover why Ankur believes "you can only secure AI with AI" and how organizations can prepare for a future where "your imagination is the new limit," but so too are the potential vulnerabilities.
Guest Socials - Ankur's Linkedin
Podcast Twitter - @CloudSecPod
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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
(00:30) Meet Ankur Shah (CEO, Straiker)
(01:54) Current AI Deployments in Organizations (Copilots & Agents)
(04:48) AI vs. Traditional Security: Why Old Methods Fail for AI Apps
(07:07) AI Application Types: Native, Immigrant & Explorer Explained
(10:49) AI's Impact on the Evolving Cyber Threat Landscape
(17:34) Ankur Shah on Core AI Security Principles (Visibility, Governance, Guardrails)
(22:26) The AI Security Vendor Landscape (Acquisitions & Startups)
(24:20) Current AI Security Practices in Organizations: What's Working?
(25:42) AI Security & Hyperscalers (AWS, Azure, Google Cloud): Pros & Cons
(26:56) What is AI Inference? Explained for Cybersecurity Pros
(33:51) Overlooked AI Attack Surfaces: Hidden Risks in AI Security
(35:12) How to Uplift Your Security Program for AI
(37:47) Rapid Fire: Fun Questions with Ankur Shah
Thank you to this episode's sponsor - Straiker.ai
