Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The patching paradox: The reality of AI in security

Let’s stop pretending AI is going to save security. Sure, it’s going to help — it already is. But the idea that defenders will somehow “keep up” with attackers just because they both have access to generative AI is a fantasy. I come at this from a red-team mindset. I’ve spent years thinking like an attacker. Now I work at a blue-team company trying to defend real systems. And here’s what’s obvious to me: AI is going to let attackers move faster.

Takeaway from RSAC 2025: Focus on AI Utility

If you are at all involved in cybersecurity, then chances are you attended or talked to someone about the RSA Conference 2025. This year’s theme was “Many Voices, One Community” – a spot on description based on my experience. Yes, there were many voices – mostly talking AI, specifically agentic AI which is driving innovation and demand for security solutions.

Zenity and Microsoft Copilot Studio Extend AI Agent Security from Buildtime to Runtime

As enterprises race to adopt AI Agents to drive productivity and innovation. We are excited to announce that Zenity and Microsoft Copilot Studio are joining efforts to enable full adoption of AI Agents. Together, Zenity and Microsoft Copilot Studio help organizations confidently build, deploy, and use AI Agents with built-in security and governance throughout the development and deployment process so they can accelerate adoption at scale.

Azure and Grok: Bringing Enterprise-Level AI to the Small and Mid-Market Frontier

In today's hyper-competitive business environment, artificial intelligence is no longer the exclusive playground of Fortune 500 giants. The democratization of AI, especially with developments like Microsoft's Azure platform partnering with Elon Musk-backed Grok, is rewriting the rules of innovation, productivity, and competitive advantage. This convergence represents a significant step forward for small and mid-sized businesses (SMBs), offering access to cutting-edge AI tools previously out of reach due to cost, complexity, and lack of in-house expertise.

Model Context Protocol (MCP): A Primer

In the ever-evolving landscape of AI, a new enabler has emerged that's quietly transforming how language models interact with the digital world: Model Context Protocol, or MCP. It may not be a household name yet, but if your organization is experimenting with AI agents, it's time to get acquainted. MCP is becoming the cornerstone of LLM integration - bridging the gap between isolated AI systems and the interconnected web of enterprise & client applications.

Garry Tan of YC: Why The Next Unicorns Are Built By AI | Frameworks for Growth

Whether you're a founder, operator, or investor, this episode offers actionable startup advice and insight from one of the most influential voices in tech. ‍ Topics covered (timestamps):‍ ‍ Subscribe for more startup strategy and founder stories: YouTube Follow us on all social media platforms: LinkedIn, X, Instagram, and TikTok Follow Frameworks for Growth on Spotify and Apple Podcasts ‍ Read the full transcript‍

CISOs' Unconventional Criteria for Evaluating AI SOC Analysts

Noam Cohen is a serial entrepreneur building seriously cool data and AI companies since 2018. Noam’s insights are informed by a unique combination of data, product, and AI expertise — with a background that includes winning the Israel Defense Prize for his work in leveraging data to predict terror attacks. As the Head of Artificial Intelligence at Torq, Noam is helping build truly next-gen AI capabilities into Torq’s autonomous SOC platform.