Page 102 - Cyber Defense eMagazine September 2025

Building Responsible AI: Staying Ahead in a Regulated World

By Paul Davis, Field CISO, JFrog

The entire world of technology is abuzz about AI/ML. It’s arguably the most disruptive technology to
society since the smartphone. Enterprises recognize they must adapt; Gartner estimates that by 2027,
over 90% of new software applications will include machine learning models. While this rapid advance is
fueling quantum leaps in innovation, it also ignites increasing scrutiny from regulatory bodies worldwide,
demanding unprecedented levels of rigor, transparency, and accountability from development teams
deploying AI/ML in production environments.

We’ll discuss how governments are responding to put guardrails around AI/ML development, and how
you can maintain a proactive stance to protect your business from regulatory fallout.

How Regulators View AI/ML

AI/ML development happens at an unprecedented breakneck speed, and inherently requires a vast
volume of large datasets, complex algorithms, and continuous model training, significantly widening the
scope of risk assessment in software development. Given the sheer power of AI/ML, it’s no surprise
regulators are intensifying their scrutiny.

Cyber Defense eMagazine – September 2025 Edition 102
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