Summary:
Anastassia talks with Vasanth Mudavatu, an enterprise security engineer and risk management expert based in Dallas, Texas, about how businesses protect themselves when attackers can launch AI-powered attacks anywhere, any time, with a click of a button.
Vasanth spent 20 years in the IT industry and has witnessed and built through every major disruption since: cloud, mobile, data science, and now AI. Some of his early enterprise software is still in production use today.
For almost a decade, Vasanth has focused on risk management with enterprise application security as his specialty, and today he works at the convergence of AI and cybersecurity. He writes and publishes on secure by design, zero trust, behavioral analytics, and self-healing systems, builds AI agents with strictly defined boundaries for his own engineering work, and is the author of the SAFE framework for responsible enterprise AI adoption: Secure confidential data, Always have a human verify, Fair and transparent, Enterprise-approved tools only. A relentless learner, he keeps a growing technical library and lives by a simple principle: a system that is safe today will not stay safe tomorrow unless you keep exploring.
Chapters:0:00 – Intro: AI vs. AI in a $1 trillion cybercrime economy
1:04 – Meet Vasanth Mudavatu and a preview of the episode
4:23 – Vasanth's 20-year path through enterprise software
5:28 – When AI started creating new security problems
6:47 – The attacker–defender mismatch: $38B market vs. $1T crime
8:54 – Secure by design and zero trust
10:00 – Scan before you use and continuous red teaming
13:44 – How LLM security has evolved and why sandboxing still matters
16:45 – Red teaming vs. penetration testing
18:18 – Multiple models, token economics and cost transparency
24:22 – Mid-sized businesses, sovereignty, open-weight models and SLMs
28:33 – The "rogue AI" headlines: what really happened
31:48 – Agent supply chains and the AI bill of materials
34:20 – Tool registries and how attackers target agents
36:37 – Shifting security left and managing third-party risk
40:06 – Gateways, MCP hubs and the sprinkler-system analogy
42:21 – Behavioral analytics and advice for IT leaders
44:12 – AGI: definitions, timelines and Mythos
48:44 – The SAFE framework and self-healing systems
51:30 – How Vasanth stays up to date
52:38 – Key takeaways and sign-off
Hyperlinks:
Zero Trust Security Architecture for Legacy Systems
The Critical Role of Algorithmic Transparency in Modern Cybersecurity —
Secure-by-Design for AI Systems: A Technical Perspective
International Journal on Science and Technology, 2025
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