Summary

Anastassia sits down with Tony Falco of Hydrolix to explore one of the least-discussed but most consequential challenges in the AI era: CDN and log data. Every click, stream, and page interaction generates hundreds of log files per second. For nearly three decades, that data has been thrown away — not because it lacked value, but because storing it was prohibitively expensive.

Tony brings over 30 years of experience building the internet's infrastructure, from his early days at Akamai helping Fortune 500 companies scale their websites for Super Bowl traffic, to Silicon Valley Data Science (acquired by Apple), to co-founding Hydrolix — a platform purpose-built to make petabyte-scale log data affordable, queryable, and AI-ready.

The conversation moves from the very origins of the commercial internet, through the evolution of distributed databases and CDN technology, to the urgent present: a moment when AI is simultaneously generating new value from log data and being weaponised against the websites that produce it. Tony and Anastassia explore the governance gap around bots and agents, the coming convergence of cybersecurity and data strategy, and why the biggest opportunities in AI may still be hiding in data that nobody has thought to explore.

Key Takeaways:

Log files are the dark matter of the internet. Every interaction with a website generates hundreds of log files per second. For 26+ years, this data has largely been deleted after 90 days because of cost — but it contains the entire behavioural story of a website's audience.

The economics breakthrough unlocks the AI opportunity. Hydralix was built to reduce CDN log storage costs by up to 90%. But when given the choice of cutting costs or keeping data longer, 99% of customers choose to keep the data — because the insights it holds are more valuable than the savings.

AI is hungry for exactly the data that has been thrown away.

AI is also the new threat on the attack surface. Bots and agents are increasingly using AI to mimic human behavior — bypassing detection systems that relied on the predictable signatures of scripted traffic.

Intent is the new frontier. Hydralix focuses on inferring the intent of website visitors — human or bot. Normal intent (browsing, comparing, buying) can be profiled; variance from it flags bad actors.

Sophisticated attackers are patient. If they know your data retention window is 90 days, they will make their next move on day 91.

The bot/agent governance gap is real and growing. Businesses have DUNS numbers. Websites have no equivalent system to identify or authenticate agents.

Don't accept the current narratives about AI. Tony's core message: it is very early. The biggest opportunities have not been taken. The biggest decisions have not been made. Curiosity and drive matter more than credentials right now.

Chapters:

00:01 Introduction, Tony’s Journey

05:30 From CDNs to NoSQL to Gen AI: The Through-Line

08:47 Data explosion and the Log File problem

14:21 The Marianas Trench of Data

15:57 Understanding niche markets

16:35 Competitive landscape of data providers

19:43 Real-time correlation as the competitive advantage

21:07 Intent Analysis and Bot Detection

23:56 The Governance Gap: Bots, Agents and Identity

29:26 Advice for Young People entering the field

32:06 Machine-to-machine, bot-to-bot workflows and communication