Understanding AI-Native Application Security Platforms

Is AI making application security easier or harder? We spoke to Amit Chita, Field CTO at Mend.io, the rise of AI agents in the Software Development Lifecycle (SDLC) presents a unique opportunity for security teams to be stricter than ever before. As developers increasingly use AI agents and integrate LLMs into applications, the attack surface is evolving in ways traditional security can't handle. The only way forward is a Zero Trust approach to your own AI models

Join Ashish Rajan and Amit Chita as they discuss the new threats introduced by AI and how to build a resilient security program for this new era.

Guest Socials -⁠⁠ Amit'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) Intro: The New Era of AI-Powered AppSec(03:10) Meet Amit Chita: From Founder to Field CTO at Mend.io(03:47) Defining AI-Powered Applications in 2025(05:02) AI-Native vs. AI-Powered: What's the Real Difference?(06:05) How AI is Radically Changing the SDLC: Speed, Scale, and Stricter Security(16:30) The Hidden Risk: Navigating AI Model & Data Licensing Chaos(20:50) SMB vs. Enterprise: Why Their AI Security Problems Are Different(23:00) Why Traditional Security Testing Fails Against AI Threats(26:03) Do You Need to Update Your Entire Security Program for AI?(29:14) The New DevSecOps: Keeping Developers Happy in the Age of AI(31:26) Real AI Threats: Malicious Packages & Indirect Prompt Injection(35:16) Is Regulation Coming for AI? A Look at the Current Landscape(38:00) The AI Security Toolbox: To Build or To Buy?(41:41) Fun Questions: Amit’s Proudest Moment & Favorite Restaurant

Thank you to our episode sponsor Mend.io