Organizations are increasingly adopting on-premise AI models to bolster control over their bidstream data and strengthen security postures. These embedded AI agents operate entirely within an organization’s infrastructure, preventing data from leaving its secure perimeter and granting complete control over model behavior. This strategy effectively reduces risks associated with leveraging external AI services, including potential data logging and the loss of proprietary information. Furthermore, on-premise AI solutions provide enhanced auditability, ensure compliance with stringent data privacy regulations, and accelerate decision-making processes within programmatic advertising. Applications such as bidstream enrichment, pricing optimization, and fraud detection benefit significantly from secure, real-time edge processing. According to Olga Zharuk, CPO at Teqblaze, achieving a competitive edge necessitates a delicate balance between speed, data stewardship, and transparency.