In this episode, we talk with cybersecurity leader Yesenia Yser. Drawing from her work across the open source ecosystem and organizations like the Linux Foundation and Open Source Security Foundation, she breaks down why open source AI models can introduce hidden vulnerabilities. Through her nonprofit, The Lioness Instincts, Yesenia is redefining what security means and teaching women how to protect themselves both physically and digitally, blending cybersecurity with real-world self-defense. In this episode, we break down hidden vulnerabilities, copyright risks, algorithmic bias, and how to protect yourself from AI-driven scams online and in real life.

In this episode, we’re joined by Angela Saccone, Cybersecurity Professional, AI Security Enthusiast, and Podcaster, to explore how AI is reshaping the security landscape across core domains. We break down key concepts in virtual machines, cloud security, and application security, and how these environments are evolving in an AI-driven world.

We also discuss incident response in the context of AI-powered threats and the growing importance of governance.

Using OpenClaw as a real-world anchor, this conversation highlights emerging risks, practical security considerations, and how both practitioners and newcomers can better understand and navigate AI security today.

In this episode, Dd Budiharto, who works as a Chief Security Advisor at Microsoft, dives into the real security challenge most organizations aren’t ready for: agentic AI with identities and access. We break down how “shadow AI employees” are already creeping into enterprises, and what it actually means to secure AI inside enterprise platforms.

The takeaway is simple but urgent: if you’re not managing AI like part of your workforce, you don’t have control, you have exposure.

Disclaimer: All opinions expressed in this episode are the individual opinions of the host and guest featured.

The opinions do not reflect that of any organization.

Resources:

Microsoft Resources:

- https://learn.microsoft.com/en-us/security/security-for-ai/

- https://www.microsoft.com/en-us/security/blog/2026/03/19/new-tools-and-guidance-announcing-zero-trust-for-ai/

- https://learn.microsoft.com/en-us/copilot/microsoft-365/copilot-control-system/security-governance

- https://learn.microsoft.com/en-us/copilot/security/responsible-ai-overview-security-copilot

Other resources:

- https://www.nist.gov/itl/ai-risk-management-framework

- https://www.cisa.gov/resources-tools/resources/ai-data-security-best-practices-securing-data-used-train-operate-ai-systems

In this episode, Omar Sangurima,
Head of Cyber Program Management & Cyber Third-Party Risk at Memorial Sloan Kettering Cancer Center and Anmol Agarwal explore how AI is helping unlock insights in healthcare and improving patient outcomes. They discuss why thoughtful AI regulation is essential, the balance between innovation and privacy, and even how global events like the FIFA World Cup reveal AI’s growing role in society.

Join us for a forward-looking conversation on the opportunities, ethical considerations, and exciting future of AI in healthcare.

The conversation also shifts to the human side of AI in cybersecurity: using AI to prepare conference talks, staying relevant in public speaking, and learning from industry leaders like Caleb Sima and Phillip Wylie. Hernandez highlights the importance of networking within the cybersecurity community and how collaboration often becomes the strongest defense in an AI-driven threat landscape.

They close by discussing data privacy and the global impact of regulations like the General Data Protection Regulation (GDPR), emphasizing why privacy awareness must evolve alongside AI innovation.

This episode blends infrastructure, insight, and community revealing that securing AI is as much about people and principles as it is about technology.

In this episode, Anmol Agarwal talks with Aby Rao — 20 years in cybersecurity and a passion for storytelling — about the unexpected overlap between filmmaking and AI security.

They unpack how AI is reshaping creativity, where automation can dilute originality, and why insider threats and accountability matter more than ever in an AI-driven world.

Because whether you’re directing a film or deploying AI, what you build and how you control it defines the outcome.

Using Star Trek as a playful yet insightful analogy, Kevin explains how AI can be a powerful tool like a calculator for security, but also how risks like prompt injection and data poisoning can cause real damage if left unchecked. They dive into practical ways to apply Zero Trust principles and context to make AI safer and more effective.

Whether you’re defending networks or exploring AI’s role in security, this episode offers actionable insights for using AI responsibly without losing control.

Larci shares practical strategies for incident response and tabletop exercises, explaining how teams can move beyond check-the-box planning and actually prepare for real incidents. The discussion also dives into today’s cybersecurity job market, where AI is screening candidates while job seekers increasingly rely on AI themselves—creating an “AI vs AI” dynamic that’s changing how careers are built and evaluated.

They also explore why community engagement, information sharing, and human judgment remain critical as AI becomes more embedded in security operations

The conversation covers practical AI security best practices, the importance of employee education and monitoring, and how tools like the Software Bill of Materials (SBOM) and the emerging AI Bill of Materials help organizations understand and manage AI risk. Shannon also explores AI security challenges in regulated industries such as healthcare and why responsible AI governance is critical as adoption accelerates.

This episode is essential viewing for CISOs, security leaders, compliance professionals, and anyone navigating AI governance, data protection, and cybersecurity in the age of AI.

The conversation dives into how AI is being used in vulnerability testing and ethical hacking, reinforcing the idea that AI is a powerful tool to augment human expertise, not replace it. They also discuss the importance of securing critical infrastructure, along with key AI security challenges such as data privacy, trust, and the need for continuous human oversight.

Beyond technology, the episode touches on career pathways in cybersecurity, the value of mentorship, and the collaborative, supportive nature of the tech community. It’s an insightful look at how people, skills, and AI come together to shape the future of AI Security.