ClearTech Loop: In the Know, On the Move
ClearTech Loop: In the Know, On the Move
Podcast Description
ClearTech Loop is a fast, focused podcast delivering sharp, soundbite-ready insights on what’s next in cybersecurity, cloud, and AI. Hosted by Jo Peterson, Chief Analyst at ClearTech Research, each 10-minute episode explores today’s most pressing tech and risk issues through a business-focused lens. Whether it’s CISOs rethinking cyber strategy or AI reshaping risk governance, ClearTech Loop brings clarity to a shifting landscape—built for tech leaders who don’t have time for fluff. We cut through hype. We rethink assumptions. We keep you in the loop.
Podcast Insights
Content Themes
The podcast addresses key topics in contemporary tech and risk management, including cybersecurity innovations, cloud strategy, and AI governance. Notable episodes cover themes like positioning security as an innovation partner in 'Security as an Enabler' and quantifying cyber risk in 'CISO Playbook,' emphasizing practical strategies for engaging executive boards and effective governance.
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 agents can hold credentials, access sensitive data, make decisions and even create other identities. But many organizations still cannot answer a basic question: what is actually running in the environment?
In this episode of ClearTech Loop, Jo Peterson sits down with Alvaro Gonzalez, SVP of Product and Go-to-Market at Assured Data Protection, to talk about what AI governance looks like when identity and access are changing at machine speed.
Alvaro explains why organizations should start with three things: inventory, observability and remediation. They also discuss whether AI governance committees are actually governing or merely documenting, why CISOs should inventory agents before building more policy, and how Alvaro’s idea of “controlled aggression” can help enterprises experiment with AI without losing the ability to recover when something goes wrong.
You cannot govern what you cannot see.
Listen to Learn
- Why AI agent governance should start with inventory
- What least privilege looks like when identities can create other identities
- Why observability matters alongside access control
- Why remediation belongs in the AI identity conversation
- Whether AI governance committees are really changing behavior
- What Alvaro means by “librarians and warriors”
- How “controlled aggression” can help organizations move faster without losing control
Featured Soundbite
“You cannot govern what you cannot see.”
— Alvaro Gonzalez
Featured Guest
Alvaro Gonzalez
SVP of Product and Go-to-Market
Assured Data Protection
Alvaro leads product, alliance, marketing and go-to-market functions at Assured Data Protection, with a focus on data protection, cyber resilience and the systems that support field and channel execution.
Host
Jo Peterson
CIO, Clarify360
Chief Analyst, ClearTech Research
Episode Links
Full episode webpage:
https://cleartechresearch.com/ai-agent-governance-alvaro-gonzalez/
Subscribe to ClearTech Loop:
https://www.linkedin.com/newsletters/7346174860760416256/
Watch on YouTube:
https://www.youtube.com/@ClearTechResearch
Additional Resources
Assured Data Protection: 5 Ways You Can Improve Your Cyber Recovery Plan
https://assured-dp.com/guides/5-ways-you-can-improve-your-cyber-recovery-plan-with-assured-data-protection/
NIST AI Risk Management Framework
https://www.nist.gov/itl/ai-risk-management-framework
Model Context Protocol — Security Best Practices
https://modelcontextprotocol.io/specification/draft/basic/security_best_practices
Previous ClearTech Loop: AI Agents Shouldn’t Be Trusted by Default with Elliott Mattice
https://cleartechresearch.com/ai-governance-trust-elliott-mattice/
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https://www.linkedin.com/newsletters/7346174860760416256/
Disclaimer
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