Intelligent Workflows: Why Your AI Strategy Needs Agentic AI Threat Modeling and Zero Trust Mindset
0⬥GUEST⬥
Ken Huang, Co-Chair, AI Safety Working Groups at Cloud Security Alliance | On LinkedIn: https://www.linkedin.com/in/kenhuang8/
⬥HOST⬥
Host: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com/
⬥EPISODE NOTES⬥
In this episode of Redefining CyberSecurity, host Sean Martin speaks with Ken Huang, Co-Chair of the Cloud Security Alliance (CSA) AI Working Group and author of several books including Generative AI Security and the upcoming Agent AI: Theory and Practice. The conversation centers on what agentic AI is, how it is being implemented, and what security, development, and business leaders need to consider as adoption grows.
Agentic AI refers to systems that can autonomously plan, execute, and adapt tasks using large language models (LLMs) and integrated tools. Unlike traditional chatbots, agentic systems handle multi-step workflows, delegate tasks to specialized agents, and dynamically respond to inputs using tools like vector databases or APIs. This creates new possibilities for business automation but also introduces complex security and governance challenges.
Practical Applications and Emerging Use Cases
Ken outlines current use cases where agentic AI is being applied: startups using agentic models to support scientific research, enterprise tools like Salesforce’s AgentForce automating workflows, and internal chatbots acting as co-workers by tapping into proprietary data. As agentic AI matures, these systems may manage travel bookings, orchestrate ticketing operations, or even assist in robotic engineering—all with minimal human intervention.
Implications for Development and Security Teams
Development teams adopting agentic AI frameworks—such as AutoGen or CrewAI—must recognize that most do not come with out-of-the-box security controls. Ken emphasizes the need for SDKs that add authentication, monitoring, and access controls. For IT and security operations, agentic systems challenge traditional boundaries; agents often span across cloud environments, demanding a zero-trust mindset and dynamic policy enforcement.
Security leaders are urged to rethink their programs. Agentic systems must be validated for accuracy, reliability, and risk—especially when multiple agents operate together. Threat modeling and continuous risk assessment are no longer optional. Enterprises are encouraged to start small: deploy a single-agent system, understand the workflow, validate security controls, and scale as needed.
The Call for Collaboration and Mindset Shift
Agentic AI isn’t just a technological shift—it requires a cultural one. Huang recommends cross-functional engagement and alignment with working groups at CSA, OWASP, and other communities to build resilient frameworks and avoid duplicated effort. Zero Trust becomes more than an architecture—it becomes a guiding principle for how agentic AI is developed, deployed, and defended.
⬥SPONSORS⬥
LevelBlue: https://itspm.ag/attcybersecurity-3jdk3
ThreatLocker: https://itspm.ag/threatlocker-r974
⬥RESOURCES⬥
BOOK | Generative AI Security: https://link.springer.com/book/10.1007/978-3-031-54252-7
BOOK | Agentic AI: Theories and Practices, to be published August by Springer: https://link.springer.com/book/9783031900259
BOOK | The Handbook of CAIO (with a business focus): https://www.amazon.com/Handbook-Chief-AI-Officers-Revolution/dp/B0DFYNXGMR
More books at Amazon, including books published by Cambridge University Press and John Wiley, etc.: https://www.amazon.com/stores/Ken-Huang/author/B0D3J7L7GN
Video Course Mentioned During this Episode: "Generative AI for Cybersecurity" video course by EC-Council with 255 people rated averaged 5 starts: https://codered.eccouncil.org/course/generative-ai-for-cybersecurity-course?logged=false
Podcast: The 2025 OWASP Top 10 for LLMs: What’s Changed and Why It Matters | A Conversation with Sandy Dunn and Rock Lambros
⬥ADDITIONAL INFORMATION⬥
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