Author: Mickey Boodaei
Mickey is the CEO and Co-Founder of Transmit Security where he passionately leads the product and development teams in Tel Aviv, Israel. As a pioneer and serial entrepreneur with over 30 years of experience Mickey has co-founded leading cyber companies such as Imperva (IMPV) and Trusteer (acquired by IBM in 2013) and personally invested in over a dozen startups in the field including Armis, Apiiro, and Island.
It’s always been about visibility, but Understanding AI is an entirely new security category.
Every serious conversation about AI security eventually arrives at the same realization: the traffic hitting your applications no longer comes from only humans and the bots you already know how to classify. A third population has arrived: AI agents that are acting on behalf of legitimate customers, researching products, comparing rates, assembling carts, and preparing […]
Why AI Agents Explore Web Interfaces
For years, software automation depended on APIs: structured gateways that let one system communicate with another. APIs are fast, predictable, and reliable—but they are not always available. Many digital tasks still require a person to open a website, navigate menus, interpret information,…
When Will AI Agents Become the Majority of Web Traffic?
The transition has already begun—but measuring it requires us to distinguish ordinary bots from agents that act on behalf of people.
Open-Source AI Is Catching the Frontier—But the Race Has Changed
Open models are no longer merely cheaper alternatives. They are becoming credible foundations for serious AI systems, even as proprietary frontier models retain important advantages.
Which Open-Source AI Model Should You Actually Use in 2026?
The leading open models are no longer separated into “good” and “bad.” They are differentiated by what they are designed to do.
Which Open-Source AI Models Are Cybercriminals Most Likely to Use?
The most capable model is not always the most attractive one. Cybercriminal adoption is shaped by convenience, cost, privacy, hardware requirements, and access to automation tools.
Which AI Models Will Fraudsters Use?
Fraudsters will not choose models the way AI researchers do. They will optimize for convenience, scale, anonymity, language coverage, and the ability to create believable identities.
Will Fraudsters Use AI Agents Against Web Applications?
Almost certainly. The important change will not be smarter phishing copy—it will be software that can navigate applications, interpret responses, and adapt fraud workflows in real time.
Will Cybercriminals Use Mythos-Class Models Against Black-Box Web Applications?
Yes. Source-code access makes vulnerability research easier, but it is not required. A sufficiently capable agent can learn a great deal from the behavior an application exposes over the internet.