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 are moving across systems, making decisions and, in some cases, creating other agents. But enterprises still do not have consistent standards for identifying them, governing their permissions or tracing what they do.
In this episode of ClearTech Loop, Jo Peterson talks with Rob Tiffany, Research Director at IDC, about why traditional identity and access management may not be enough for the agentic AI era.
Rob argues that the identity problem becomes much bigger once agents begin operating beyond a single enterprise. Companies need to know who an agent belongs to, what it is allowed to do and whether its activity can be audited and traced. As Rob puts it, there are still no consistent standards around agent “identity and permissions and auditability and traceability.”
He also discusses an idea he is exploring with Cerf: whether AI agents may eventually need something similar to a global registry, analogous to DNS, so their identity, permissions and traceability can be verified across networks and organizations.
The conversation also gets into shadow AI, employee adoption and why the most productive people inside an organization may be among the first to use AI tools before governance catches up.
In This Episode
- Why traditional IAM was not built for autonomous AI agents
- How software agents have existed for decades, from scripts to RPA
- Why identity becomes harder when agents create other agents
- The need for permissions, auditability and traceability across organizations
- Why AI agents may eventually need a global identity layer
- How shadow AI is entering enterprises faster than governance can respond
- What CISOs should be thinking about when AI adoption is already ahead of controls
- Why productivity cannot come at the expense of enterprise security
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