The integration of generative AI into camera hardware, specifically the image signal processor, has significant implications for image authenticity. Cameras that utilize deep-learning modules can potentially alter images in real-time, compromising their faithfulness. This development has raised concerns about the trustworthiness of images captured and shared online. The use of generative AI in cameras can manipulate images to create realistic and deceptive content, making it challenging to distinguish between authentic and altered images. As state-aligned threat activity increasingly exploits such technologies, the stakes extend beyond individual targets to geopolitical implications1. The authenticity of images is crucial in various domains, including journalism, law enforcement, and national security. Therefore, understanding the potential for image manipulation in cameras with generative AI capabilities is essential for practitioners to develop effective methods for verifying image authenticity and mitigating potential threats.