As AI revolutionizes how we work, it has created a new attack surface with new technologies. One of those new technologies is Model Context Protocol (MCP). MCP has emerged as the standard for connecting AI to external tools, but its flexibility has created security challenges. How do we secure MCP?
Rahul Parwani, Head of Product, Security Solutions at Airia, joins Business Security Weekly to discuss the challenges of MCP and how to secure this new protocol. Rahul will cover how Aria's solutions help you secure your AI development by:
- Centralizing Access Control
- Enforcing Security Policies
- Maintaining Compliance
- Enabling Rapid Response
This segment is sponsored by Airia. Visit https://securityweekly.com/airia to learn more about them!
In the leadership and communications segment, CISO Burnout – Epidemic, Endemic, or Simply Inevitable?, If Trust Is So Important, Why Aren’t We Measuring It?, Over one-third of companies plan to replace entry roles with AI, survey says, and more!
Rahul Parwani is the Head of Product for AI governance and Security at Airia. He is an experienced product leader that has built and scaled enterprise solutions responsible for endpoint vulnerability defense, device security posture management, signal sharing, and passwordless authentication. Rahul is an advocate for zero trust architecture adoption and sits on the leadership team for the Coalition of Secure AI. He has previously served on the Executive Advisory Board of the Identity Defined Security Alliance (IDSA) and as a board member of the technical committee for the FIDO alliance shaping industry standards and best practices.
Matt Alderman
- CISO Burnout – Epidemic, Endemic, or Simply Inevitable?
CISO burnout is increasing. Are we simply more aware of the condition? Or have demands on the CISO grown and burnout is now the inevitable result?
- Trust and Transparency in Modern Leadership By Omar Solari
In a world where information travels faster than truth, leadership is no longer about control — it’s about credibility. Modern leaders don’t just manage results; they manage trust. And trust, once earned, becomes the quiet currency that keeps teams aligned, customers loyal, and organizations resilient.
- If Trust Is So Important, Why Aren’t We Measuring It?
As stakeholder expectations grow and organizational life becomes more complex—especially with remote work, social accountability, and generational shifts—leadership trust is under more scrutiny than ever. Yet many organizations still treat trust as a gut feeling rather than a trackable variable. Leadership trust is a measurable, manageable business asset, and leaders need to start treating it like any other strategic variable: visible, monitored, acted upon, and benchmarked. There are four key steps C-suite leaders and boards need to follow to measure trust effectively: 1) Decide on a measurement tool; 2) monitor; 3) actively manage; and 4) benchmark.
- Mindful Communication
Everywhere in the world, no matter where one lives, works or is on a vacation, you will find one always has to communicate. Whether they are communicating mindfully or not, you will find that everyone is communicating through words, sign language, by writing or even body language.
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AI value is often associated with workforce reduction headlines. But nearly half of CIOs believe AI has not met their ROI expectations
- Over one-third of companies plan to replace entry roles with AI, survey says
Although cutting entry-level hires may increase savings in the short run, drying up this pipeline to future leaders could create a long-term crisis, a Korn Ferry report warned.













