Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

What does it take to secure AI-based applications in the cloud? In this episode, host Ashish Rajan sits down with Bar-el Tayouri, Head of Mend AI at Mend.io, to dive deep into the evolving world of AI security. From uncovering the hidden dangers of shadow AI to understanding the layers of an AI Bill of Materials (AIBOM), Bar-el breaks down the complexities of securing AI-driven systems. Learn about the risks of malicious models, the importance of red teaming, and how to balance innovation with security in a dynamic AI landscape. What is an AIBOM and why it matters The stages of AI adoption.

Vulnerability detection isn’t the main problem - remediation is. In today’s fast-paced development world, security teams are overwhelmed with alerts, while developers struggle to keep up with security tasks that feel disconnected from their workflow. The real risk? Vulnerabilities that sit unaddressed in a growing backlog. Join Daniel Wyrzykowski, Product Manager at Mend.io and Saoirse Hinksmon, Senior Product Marketing Manager at Mend.io as they explore.