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Michael N.

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Michael Nov is an experienced executive with over 15 years of advisory and management experience, helping Tech companies to achieve organic and inorganic growth, and operational improvement. He holds an MBA from Duke Fuqua School of Business, an MA in Supply Chain Management from Bar-Ilan University, and a BA in Economics and Logistics from Sapir College. Nov's professional career spans across various organizations, including being the Director of Corporate Development at OwnBackup, an angel investor at Kesha Ventures, a cofounder and COO/CFO at Merri, a startup advisor at New York University, an engagement manager at Deloitte, and a former captain of the IDF. With such a wide range of experiences and skills, it's clear that Nov is a promising figure in the tech industry, drawing upon a wealth of knowledge and insight to tackle any challenge.

Highlights

Aug 19 · linkedin

TL;DR: Adding AI Capabilities to Security Products Changes the Buy vs. Build Decision

The buy vs. build dilemma has always been a critical consideration in the security industry, but the rise of AI has introduced a new level of complexity. What used to be a straightforward choice - use your in-house backend and frontend teams or buy a ready-made solution - has become more complex with the rise of AI. Now, building internal AI-driven security tools requires specialized AI researchers and experts, and those are as rare as they are expensive.

Sure, you can get a homegrown AI solution to hit 50% accuracy without breaking a sweat, but pushing it past the 90% mark? That’s a whole different ball game. It demands ongoing investment and constant fine-tuning, making the build option much more resource-intensive than it might look. So why pour these valuable resources into building internal tools when they could be invested in what makes "your beer taste better"? In other words, why build tools that you can easily buy instead of focusing your AI efforts on projects that drive real business value?

Some organizations have opted to build internally due to concerns over data leakage to external models. However, with the rise of platforms like AWS Bedrock and Azure OpenAI, this concern is becoming less of a roadblock. These platforms provide robust solutions that help mitigate data security risks, letting you tap into external expertise while keeping your data secure. So, why not enjoy the best of both worlds - cutting-edge AI capabilities with peace of mind?

I have spoken to a few teams that are grappling with this dilemma already, but would love to talk to more. If you are building an AI-enabled security product in-house, I would love to buy you a virtual coffee and chat!

Aug 5 · linkedin

I am attending #BlackHat2024 in Las Vegas this week and am excited to see many (old and new) friends and colleagues!

If you want to know more about how we are changing SDLC Design stage security, or want to catch up, please reach out.

Related Questions

What is the main focus of Stealth under Michael N.'s leadership?
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What other companies has Michael N. founded or worked with?
Michael N.
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Location

New York, New York, United States