Prasad Gune
Prasad Gune is a senior product leader at Integral Ad Science (IAS), where he oversees product development across the company's core pillars of brand safety, viewability measurement, and AI-driven contextual classification. He has been instrumental in expanding IAS's Total Media Quality suite, a comprehensive framework that enables advertisers and publishers to ensure ads appear in brand-suitable, viewable, and fraud-free environments across the open web and walled gardens. His work on integrating IAS solutions with major demand-side platforms and social media platforms for pre-bid targeting has helped make brand safety a more actionable, real-time capability for programmatic buyers. Gune's product philosophy centers on making complex measurement and verification technologies accessible and scalable for enterprise advertisers. Under his leadership, IAS has advanced its use of machine learning and natural language processing to power contextual classification at scale, enabling more nuanced brand suitability decisions beyond blunt keyword blocking. His work sits at the intersection of AI innovation and advertising standards, helping to define how the industry approaches content classification in a post-cookie environment. With a background spanning product management across AdTech and digital media, Gune brings both technical depth and commercial acumen to his role. He is regarded within the IAS organization as a key architect of the company's product roadmap as it competes with peers like DoubleVerify and Moat in the ad verification space.
Last updated Aug 25, 2026 by ATDb automated enrichment · Connections updated Aug 31, 2026
- Years in industry
- 15 years
Bio
Prasad Gune is a senior product leader at Integral Ad Science (IAS), where he oversees product development across the company's core pillars of brand safety, viewability measurement, and AI-driven contextual classification. He has been instrumental in expanding IAS's Total Media Quality suite, a comprehensive framework that enables advertisers and publishers to ensure ads appear in brand-suitable, viewable, and fraud-free environments across the open web and walled gardens. His work on integrating IAS solutions with major demand-side platforms and social media platforms for pre-bid targeting has helped make brand safety a more actionable, real-time capability for programmatic buyers. Gune's product philosophy centers on making complex measurement and verification technologies accessible and scalable for enterprise advertisers. Under his leadership, IAS has advanced its use of machine learning and natural language processing to power contextual classification at scale, enabling more nuanced brand suitability decisions beyond blunt keyword blocking. His work sits at the intersection of AI innovation and advertising standards, helping to define how the industry approaches content classification in a post-cookie environment. With a background spanning product management across AdTech and digital media, Gune brings both technical depth and commercial acumen to his role. He is regarded within the IAS organization as a key architect of the company's product roadmap as it competes with peers like DoubleVerify and Moat in the ad verification space.
Career
Senior Director, Product Management
Integral Ad Science · prior to VP role
Product Management Role
Unknown · prior to IAS
Expertise & education
Expertise
Speaking topics
Recognition
Notable achievements
- Led expansion of IAS's Total Media Quality suite across major DSPs and social platforms
- Oversaw development of AI-driven contextual classification capabilities at IAS
- Drove pre-bid brand safety integration with major programmatic buying platforms