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270 | Breaking Analysis | Security Do-Over…How Palo Alto Networks Sees the Reset

Automation generally and AI specifically, render today’s cybersecurity stacks ineffective. Previously, stopping 99% of attacks and leaving the 1% for armed human hunters to deal with was, while not ideal, at least feasible. With AI, that all goes away because adversaries can scale phishing and other attacks at unprecedented rates, which overwhelms the ability of humans. This creates a wider gap between exfiltration times, which are shrinking, and mean time to remediation, giving even greater advantage to attackers. As such, the only way to fight AI is with AI. Moreover, the ever expanding number of tools in an organization’s security stack continues to exacerbate the problem. According to Palo Alto Networks, the answer is a complete makeover of your cybersecurity stack where consolidating multiple tools into a single platform and gaining comprehensive access to the right data, simplifies security operations and enables AI to operate in real time.

Cloud Native Application Protection: a WINning Strategy

Representation of the Wiz CNAPP WIN partner program and the challenges addressed

In the modern cloud era, security is no longer a standalone effort; it requires seamless collaboration across ecosystems. We explore how Wiz, a leading cloud-native application protection platform (CNAPP) that is in the process of being acquired by Alphabet / Google, has strategically built a thriving partner ecosystem through its Wiz Integration Network (WIN). We discuss Wiz’s platform and organizations’ growing challenges in securing multicloud environments, from visibility gaps and alert fatigue to shifting ownership models, dive deep into Wiz’s unique approach to technical partnerships, highlighting why the Tech Partnerships function resides within the Product organization and how the WIN program drives co-build, co-market, and co-value outcomes. With over 300 partners and 150+ certified integrations, WIN exemplifies what a modern, open, customer-centric partnership model looks like.

History’s Guide To The Future Of AI

“In episode #8 of the Next Frontiers of AI Podcast, I’m joined by Irving Wladawsky-Berger—MIT research affiliate, legendary IBM executive, and influential technology innovator. We explore how 50 years of transformative tech provides valuable insights for AI’s future. Drawing from Irving’s experiences shaping mainframes, PCs, client-server systems, e-business, cloud, IoT, and AI, we ask: are we watching the same movie again with new characters? Tune in!”

The Anatomy of a Decision-Making Agent

In this episode of the Next Frontiers of AI Podcast, I go solo to address an array of questions I have received about how to build decision intelligence capabilities in AI Agents and agentic systems.  As the market quickly realizes, generative AI and LLMs are insufficient to fuel these AI Agents, and businesses must build an extended ecosystem of specialized AI models. You’ll learn my point-of-view, which has been informed by dozens of AI experts and pioneering companies. I am eager to hear your views!

269 | Breaking Analysis | The New Age of Analyst Relations in Tech

The analyst relations (AR) function is undergoing a fundamental transformation. Once dominated by a handful of large research houses, such as Gartner, IDC and Forrester, the market now features a spectrum of independent analysts and influencers. The fast-paced nature of the tech industry, its speed of change, the relentless competition and ubiquity of technology, make […]

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