Uploaded May 2025 | Updated September 2026, 3 weeks ago
➡ Get full visibility, risk insights, red teaming, and governance for your AI models, AI agents, RAGs, and more—so you can securely deploy AI powered applications. Check out Mend.io: https://ul.live/mend
In this episode, I speak with Bar-El Tayouri, Head of AI Security at Mend.io, about the rapidly evolving landscape of application and AI security—especially as multi-agent systems and fuzzy interfaces redefine the attack surface.
We talk about:
• Modern AppSec Meets AI Agents
How traditional AppSec falls short when it comes to AI-era components like agents, MCP servers, system prompts, and model artifacts—and why security now depends on mapping, monitoring, and understanding this entire stack.
•Threat Discovery, Simulation, and Mitigation
How Mend’s AI security suite identifies unknown AI usage across an org, simulates dynamic attacks (like prompt injection via PDFs), and provides developers with precise, in-code guidance to reduce risk without slowing innovation.
•Why We’re Rethinking Identity, Risk, and Governance
Why securing AI systems isn’t just about new threats—it’s about re-implementing old lessons: identity access, separation of duties, and system modeling. And why every CISO needs to integrate security into the dev workflow instead of relying on blunt-force blocking.
Subscribe to the newsletter at:
danielmiessler.com/subscribe
Join the UL community at:
danielmiessler.com/upgrade
Follow on X:
https://x.com/danielmiessler
Follow on LinkedIn:
linkedin.com/in/danielmiessler
Chapters:
00:00 - From Game Hacking to AI Security: Barel’s Tech Journey
03:33 - Why Application Security Is Still the Most Exciting Challenge
04:21 - The Real AppSec Bottleneck: Prioritization, Not Detection
06:07 - Explosive Growth of AI Components Inside Applications
12:30 - Why MCP Servers Are a Massive Blind Spot in AI Security
14:44 - Guardrails Aren’t Keeping Up With Agent Power
15:57 - Why AI Security Is Maturing Faster Than Previous Tech Waves
20:41 - Traditional AppSec Tools Can’t Handle AI Risk Detection
25:43 - How Mend Maps, Discovers, and Simulates AI Threats
33:44 - What Ideal Customers Ask For When Securing AI
37:43 - Beyond Guardrails: Mend’s Guide Rails for In-Code Mitigation
41:31 - Multi-Agent Systems Are the Next Security Nightmare
45:29 - Final Advice for CISOs: Enable, Don’t Disable Developers
➡ Get full visibility, risk insights, red teaming, and governance for your AI models, AI agents, RAGs, and more—so you can securely deploy AI powered applications. Check out Mend.io: https://ul.live/mend
In this episode, I speak with Bar-El Tayouri, Head of AI Security at Mend.io, about the rapidly evolving landscape of application and AI security—especially as multi-agent systems and fuzzy interfaces redefine the attack surface.
We talk about:
• Modern AppSec Meets AI Agents
How traditional AppSec falls short when it comes to AI-era components like agents, MCP servers, system prompts, and model artifacts—and why security now depends on mapping, monitoring, and understanding this entire stack.
•Threat Discovery, Simulation, and Mitigation
How Mend’s AI security suite identifies unknown AI usage across an org, simulates dynamic attacks (like prompt injection via PDFs), and provides developers with precise, in-code guidance to reduce risk without slowing innovation.
•Why We’re Rethinking Identity, Risk, and Governance
Why securing AI systems isn’t just about new threats—it’s about re-implementing old lessons: identity access, separation of duties, and system modeling. And why every CISO needs to integrate security into the dev workflow instead of relying on blunt-force blocking.
Subscribe to the newsletter at:
danielmiessler.com/subscribe
Join the UL community at:
danielmiessler.com/upgrade
Follow on X:
https://x.com/danielmiessler
Follow on LinkedIn:
linkedin.com/in/danielmiessler
Chapters:
00:00 - From Game Hacking to AI Security: Barel’s Tech Journey
03:33 - Why Application Security Is Still the Most Exciting Challenge
04:21 - The Real AppSec Bottleneck: Prioritization, Not Detection
06:07 - Explosive Growth of AI Components Inside Applications
12:30 - Why MCP Servers Are a Massive Blind Spot in AI Security
14:44 - Guardrails Aren’t Keeping Up With Agent Power
15:57 - Why AI Security Is Maturing Faster Than Previous Tech Waves
20:41 - Traditional AppSec Tools Can’t Handle AI Risk Detection
25:43 - How Mend Maps, Discovers, and Simulates AI Threats
33:44 - What Ideal Customers Ask For When Securing AI
37:43 - Beyond Guardrails: Mend’s Guide Rails for In-Code Mitigation
41:31 - Multi-Agent Systems Are the Next Security Nightmare
45:29 - Final Advice for CISOs: Enable, Don’t Disable Developers
