AI Security, Cyber Risk, and Cloud Strategy on ClearTech Loop
Season 2 of ClearTech Loop is built around three questions:
How is AI changing the way organizations think about risk?
What does stronger cybersecurity leadership look like right now?
How should leaders rethink cloud strategy as business and technology keep shifting?
Hosted by Jo Peterson, Chief Analyst at ClearTech Research, ClearTech Loop is a fast, focused podcast covering AI, cybersecurity, and cloud risk through a business leadership lens.
Each 10-15 minute episode explores the issues shaping modern technology strategy and the decisions leaders cannot afford to ignore.
From governance and resilience to infrastructure change and emerging risk, ClearTech Loop helps leaders make sense of what is shifting, what matters most, and what comes next.
AI Security, Cyber Risk, and Cloud Strategy on ClearTech Loop
Derek Fisher on AI Governance, AI Agents & MCP Risk
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AI governance is no longer just a policy conversation. As AI moves into business workflows, sanctioned platforms, employee tools, local models, agents, and third-party services, organizations need to understand where AI is being used, what it can access, who approved it, and who owns the outcome when something goes wrong.
In this episode of ClearTech Loop, Jo Peterson speaks with Derek Fisher, founder of Securely Built, cybersecurity educator, author, and Director of Temple University’s Cyber Defense and Information Assurance Program.
Derek brings a practical security lens to AI governance, AI agents, and third-party MCP risk. The conversation covers why governance needs clear ownership, how organizations should think about AI agents as non-human actors with access and authority, and why MCP servers and AI-enabled services should be evaluated through a third-party risk management lens.
This episode is especially relevant for security leaders, technology leaders, compliance teams, and business executives trying to move AI from experimentation into controlled, accountable use.
In This Episode:
- Why many organizations still do not know where AI is being used
- Why AI governance needs executive ownership, cross-functional standards, and business accountability
- How AI agents create new access control and auditability challenges
- Why agents should be treated more like privileged non-human actors than simple tools
- What organizations should ask before adopting third-party MCP servers or AI-enabled services
- Why AI governance is not about slowing the business down, but making the approved path usable enough that people follow it
Key Questions:
- How do we operationalize AI governance, and who is legally accountable when an AI agent makes an unauthorized decision?
- How do we prevent agents from executing actions the user should not be allowed to perform?
- How do organizations verify the authenticity and security of third-party MCP servers and services?
Featured Guest:
Derek Fisher
Founder, Securely Built
Director, Cyber Defense and Information Assurance Program, Temple University
Derek Fisher is a cybersecurity leader, educator, author, and speaker with experience across product security, secure software development, governance, risk management, regulatory compliance, incident response, and cybersecurity education.
Host:
Jo Peterson
CIO, Clarify360
Chief Analyst, ClearTech Research
Additional Resources:
- Securely Built
https://securelybuilt.substack.com/ - The Application Security Program Handbook https://www.manning.com/books/application-security-program-handbook
- Derek Fisher on SecureWorld News
https://www.secureworld.io/industry-news/author/derek-fisher - Your AI Coding Assistant Has Root Access—and That Should Terrify You https://www.secureworld.io/industry-news/your-ai-coding-assistant-has-root-access
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