TrafficGuard Appoints Head of AI to Battle Rising Fraud

TrafficGuard, a platform in AI-powered digital ad verification and invalid traffic (IVT) prevention, has appointed Scott Thomson as Head of AI.

The appointment comes at a critical inflection point for the industry. The rapid proliferation of agentic AI—autonomous bots capable of browsing, clicking, filling out forms, and mimicking genuine user behavior—is fundamentally reshaping the threat landscape for digital advertisers. Unlike traditional bot traffic, agentic bots operate with human-like intent patterns, making them significantly harder to detect using conventional verification methods.

Thomson will oversee and accelerate the execution and embedment of AI into TrafficGuard’s platform and processes, building on more than eight years of machine learning innovation that has positioned the company at the forefront of ad fraud detection since its founding. He brings over a decade of experience in technology and AI innovation, having previously worked at Google, Adobe, and Telstra and founded the strategic consultancy firm SCRYPTID. 

“We are delighted to welcome Scott in an executive capacity at a pivotal time for TrafficGuard. His deep expertise in AI spanning Google Cloud, generative AI strategy, and enterprise innovation is directly aligned with where we are taking this business,” said Mat Ratty, CEO of TrafficGuard. “Scott’s appointment accelerates our ability to execute our AI roadmap and deliver advanced fraud prevention to advertisers globally. We look forward to the contribution he will make as we enter our next phase of growth.” 

Scott Thomson will support TrafficGuard’s expansion of its AI capabilities, ensuring the platform is well-positioned to manage ad exposure and fraud risks as the digital advertising ecosystem undergoes its most significant shift in a decade. He will leverage his extensive experience in AI strategy and innovation to accelerate product development and commercial execution, bringing to market advanced solutions that monitor, detect, analyze, and respond to invalid traffic while driving adoption across new verticals and channels. 

“Having served as a non-executive director since early 2024 with TrafficGuard, I’m looking forward to adding my experience and guidance more directly to our already significant team. The AI arms race in ad fraud is real. “Fraudsters are already deploying agentic bots and generative AI to evade detection at scale, and staying ahead requires deep AI expertise and a platform built for continuous evolution,” commented Thomson.

Industry analysts project that AI-generated invalid traffic will account for an increasingly material share of digital ad spend waste over the coming years, creating an urgent need for AI-native detection that can evolve at the same pace as the threats it defends against. 

“TrafficGuard has a strong foundation in machine learning-driven detection, and I’m here to accelerate what’s next,” said Thompson. “Expanding our AI-powered capabilities beyond fraud detection into intelligent optimization tools that help advertisers not just protect their spend, but maximize its performance. We’re evolving the platform to cover new channels and deliver actionable insights that turn fraud data into a genuine competitive advantage. Tackling ad fraud has become increasingly essential for advertisers, and I can’t wait to be part of the talented team building the future of ad verification.” 

The company plans to significantly expand its team, enabling brands to boost their revenue and confidently scale advertising campaigns by eliminating invalid traffic. As brands allocate record budgets to digital channels, TrafficGuard’s mission to ensure every ad dollar reaches a real human has never been more commercially critical.