Notable Perspectives

How do we secure and manage a rapidly multiplying swarm of AI agents in an enterprise world?
In this episode of Notable Perspectives, Glenn Solomon and Oren Yunger sit down with Slavik Markovich and Rishi Bhargava, co-founders of Descope. Former security innovators behind DeMisto (acquired by Palo Alto Networks), Slavik and Rishi are now tackling one of the most pressing challenges in modern tech: identity, access, and trust in a world where AI agents act autonomously and unpredictably.
Join us as we explore:
The Chaos Problem: How AI agents multiply risk across enterprise systems, creating backdoors, misconfigurations, and new attack surfaces.
Trust at Scale: Building infrastructure and granular controls to keep AI behavior predictable — and keeping enterprises safe in the process.
The Identity Revolution: Why managing agent identities, permissions, and audit trails is now critical to surviving the AI explosion.
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How did a career platform become a nearly $1B AI business?
In this episode of Notable Perspectives, Jeff Richards sits down with Garrett Lord, the co-founder and CEO of Handshake — the career network connecting 22 million young professionals to every Fortune 500 company and powering 92% of higher education in America. Garrett left Palantir with a contrarian conviction borrowed from Peter Thiel: that access to opportunity shouldn't depend on which school you attended or who your parents knew. A decade later, that conviction has produced something nobody saw coming — an AI business that went from zero to a nearly $1B run rate less than 18 months, built on the counterintuitive principle that matching people to careers demands more human judgment, not less.
Join us as we explore:
The Zero-to-$500M Sprint: How Handshake's AI business exploded from nothing to a $500M+ run rate in eight months — and what Fortune 500 companies were desperate for that made the opportunity impossible to ignore.
Why AI Needs Humans More: The case for reinforcement learning and "unverifiable tasks" — why building AI that matches people to careers requires more human trainers, not fewer, and what that means for the future of hiring.
The Partner Principle: How becoming a husband and father transformed Garrett's leadership — and why he believes the most important decision a CEO makes has nothing to do with the business.
Produced by Breaking Glass Studio.
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How do we systematically evaluate and improve increasingly autonomous AI systems?
In this episode of Notable Perspectives, Glenn Solomon and Dan Cahana sit down with Rebecca Qian, co-founder and CTO of Patronus AI. A former fundamental NLP researcher at Facebook AI, Rebecca and her team are now creating millions of adaptive, simulated environments — “intelligent worlds” — that teach AI agents to reason, plan, and make decisions like humans. 
Join us as we explore:
The Eval Problem: Too few evals on too narrow a slice of reality; benchmark and leaderboard culture has created the wrong incentive.
Reality of Simulations: The shift from single-turn classification to agents that reason and decide the way people do. And the stakes if you get it wrong — reward hacking, deception, misalignment.
Building the Factory: The insight that general intelligence requires generalizable capabilities — not domain-specific data.
Chapters:
00:00 — The Eval Problem: Why current AI evaluation methods are fundamentally broken—and what it means for building reliable, autonomous systems.
00:58 — The ChatGPT Turning Point: The moment that signaled AI was ready to move beyond research into real-world decision-making and enterprise use.
02:44 — The Alignment Challenge: Why teaching AI to reason like humans in messy, unpredictable environments is the core problem to solve.
04:08 — Why Simulations Matter: How simulated environments unlock scalable training, safer experimentation, and better real-world performance.
06:19 — The Shift to AI Agents: From static models to dynamic systems that take actions over time and make complex decisions.
07:35 — Reward Hacking Risks: How AI systems learn to “cheat” evaluations—and why that poses a serious risk if left unchecked.
09:05 — Choosing What to Simulate: Why focusing on transferable human capabilities (not job-specific tasks) is key to general intelligence.
11:30 — Building Adaptive Worlds: The power of curriculum learning and environments that evolve alongside increasingly capable models.
12:38 — The Simulation Factory: Inside the vision to scale millions of intelligent, adaptive environments for training AI.
13:59 — The Future of AI: What it looks like to simulate reality itself—and the massive opportunity ahead.
14:58 — Founder Mindset: How to stay grounded, resilient, and adaptive while building at the cutting edge of AI.
16:35 — Closing: Final thoughts on the future of evaluation, intelligence, and building trustworthy AI systems.
Produced by Breaking Glass Studio.
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Your website doesn't need to go away — but 90% of its human visitors probably will.
In this episode of Notable Perspectives, Chelsea Taylor sits down with Chris Andrew, co-founder and CEO of Scrunch AI. After a decade selling enterprise software to the world's largest banks and insurance companies, Chris spotted a permanent shift in how humans browse, engage, and transact on the web — and built the infrastructure for what comes next.
Join us as we explore:
The Permanent Shift: AI is already powering over 50% of search in North America. The way people discover brands, products, and information has fundamentally changed — and most companies haven't caught up.
Marketing to Agents, Not Just Humans: The martech stack isn't about perfecting the human experience anymore. AI agents are arriving at your website with context and intent, on behalf of a human. If you're not marketing to the agent, you're missing the human.
What Scrunch Actually Does: Monitor how AI agents interact with your content, understand how your brand appears across AI search platforms, and deliver content optimized for retrieval — a parallel version of your site built for the models shaping the modern customer journey.
Produced by Breaking Glass Studio.
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In this episode of Notable Perspectives, we sit down with Ofer Smadari, co-founder and CEO of Torq. Cybersecurity is in the midst of a massive transformation, and Torq is setting the pace.
Ofer has built and sold a cybersecurity company for over $200 million. But he still had that founder hunger and urge to build — this time even bigger. Cut to today, Torq has recently announced a $140 million Series D and a valuation of over $1 billion. This is the story of what happens when a serial founder refuses to settle.
Episode Summary
Hear how Torq’s founding team went from a previous exit to building one of the most ambitious platforms in modern cybersecurity. In this episode, we dig into:
The Pivot That Built Torq: Why the team shut down their original product and redirected their technology toward cybersecurity automation after realizing adoption wasn’t there.
The Alert Fatigue Problem: How security teams are overwhelmed by alerts and why automation is essential to eliminate operational noise and scale security operations.
Modernizing the SOC: Why legacy security platforms were built for on-prem environments and how Torq’s open, SaaS-first platform enables faster integrations and automation.
AI in Security Operations: From no-code automation to AI-driven investigation agents that perform analyst-level tasks and accelerate threat response.
Founder Trust and Velocity: How strong co-founder relationships, decisive leadership, and trust across teams enabled rapid pivots and global growth.
Produced by Breaking Glass Studio
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Subscribe on Apple Podcast: https://podcasts.apple.com/us/podcast/notable-perspectives/id1392649094