The Sky Cast
Your front-row seat to the voices driving agentic AI forward — webinars and podcasts.
Featured Webinars and Podcasts
Join industry experts discussing the latest in AI and cybersecurity.
When AI Agents Can Act: Can You Actually Control What They Do?, by Jaz Lin
Red teams are showing that AI agents can be hijacked and pushed into actions nobody intended. The question is no longer whether an identity can access data, but what an agent is allowed to do with it, under whose policy, and whether you can prove it. Jaz walks a real enterprise workflow through the six-area Agentic Security Scorecard and the Inventory → Prioritize → Govern → Prove path to find the first control gap that matters.
Video Field Guide to Enterprise AI Agent Readiness
Not all AI agents are built the same. We keep talking about "AI agents" like they're one category — they're not, and that's exactly why so many conversations about enterprise readiness get fuzzy. In this short video, Jaz Lin offers a simple field guide for thinking about agent types, enterprise readiness, and runtime governance.
Real Talk on Agent Security — Short Video Series
Jaz Lin breaks down the real-world gaps in agent security in under a minute each.
Developers Aren't CISOs
Developers build AI agents for speed and features, not governance. Jaz explains why expecting developers to own security is a losing bet — and why CISOs need a runtime control layer that lives outside the application itself.
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Action Control
Monitoring agent activity after the fact isn't enough. Jaz breaks down why real-time action control — the ability to allow, block, or escalate agent actions before they execute — is the missing safety layer for enterprise agents.
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Bring Your Own Policy
Every enterprise has different rules for what its agents can access and do. Jaz discusses why agent vendors' built-in controls can't reflect your specific requirements, and why organizations need to bring their own runtime policy.
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Security Features
Agent platforms advertise security features, but they're tuned to the vendor's defaults, not your enterprise risk posture. Jaz covers why built-in features fall short and what a dedicated runtime policy layer adds on top.
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Building AI Security Infrastructure: From Cisco Engineer to Startup Founder with Jaz Lin
Den Jones talks with Skyrelis CEO Jaz Lin about her shift from security engineer to AI entrepreneur, focusing on AI agent security and the mindset needed to lead an AI startup.
3 Things Leaders Must Demand for Confidence in Agentic AI - Part 1, by Jaz Lin
AI compliance principles didn't change — what changed is how compliance behaves at runtime. Leaders should demand 3 non-negotiables before trusting agentic AI in production.
The 3 Non-Negotiables:
- •Full visibility — who's running which agents, doing what, when, and why
- •Runtime policy enforcement — stop bad actions before they happen (not after the logs)
- •Audit-ready evidence — not just "what happened," but WHY the agent made the decision
How to Stay Compliant While Adopting AI: Practical Playbooks to Prevent Future Liability
Jaz Lin, Skyrelis co-founder, and her co-presenters discuss how to adopt AI tools confidently, without creating future audit or regulatory landmines.
Major Themes Discussed:
- •AI tools are redefining how fast and lean teams get work done
- •How to spot the legal and compliance traps unique to AI (not found in traditional SaaS)
- •How to build a lean, repeatable framework for evaluating and monitoring AI vendors
Building Trust in a World with Autonomous Systems
Practical Guidence
Major Themes Discussed:
- •Validating the Problem Statement
- •Separating Policy from Applications
- •Stay Focused and Embrace Mistakes
Innovating AI Security
Medium-Sized Companies and AI Policy Challenges
Major Themes Discussed:
- •The rise of agentic AI and why security matters more than ever
- •How Skyrelis built a policy layer that makes AI systems safer and more flexible
- •What medium-sized tech companies really need to scale securely
AI Adoption in Business - What Companies Want and What Builders Need to Know
Join us for an insightful discussion on the current landscape of AI adoption in business environments.