The article highlights the importance of content provenance in a world increasingly filled with AI-generated media. With deepfakes and photorealistic images becoming commonplace, trust in digital media is eroding. To counter this, provenance protocols like C2PA (Coalition for Content Provenance and Authenticity) and CPP (Content Provenance Protocol) have emerged. C2PA is primarily designed for media distribution but falls short in situations requiring forensic evidence due to its lack of independent verification and deletion detection capabilities. On the other hand, CPP addresses these shortcomings by mandating external timestamps and integrating built-in deletion detection. The author provides a practical example through a project called VeriCapture, an iOS app that implements CPP. The article details how both protocols function, emphasizing CPP's three-layer architecture, which aims for greater reliability in proving content authenticity. Key features of CPP include cryptographic event integrity, collection integrity, and external verifiability, making it more suitable for legal contexts. The article dives into specific coding implementations, showcasing how to create a CPP event and the mechanics of generating cryptographic hashes using Swift. In comparing the two protocols, the article outlines C2PA's various limitations, such as the risk of metadata loss when media is shared on social platforms and the reliance on self-attestation by creators. CPP's design philosophy promotes verification over trust and acknowledges that absence can be evidence of tampering. By the end of the article, readers gain insights into when to apply each protocol and how to implement key cryptographic patterns, equipping developers to build more secure and trustworthy media applications.