According to a recent LinkedIn post from OpenOrigins, the company is emphasizing the limitations of current deepfake detection tools once they are applied to real-world content. The post cites an estimated rise in deepfake incidents from roughly 500,000 in 2023 to more than 8 million in 2025, suggesting a rapidly expanding risk surface for enterprises and regulators.
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The post highlights a strategic shift from after-the-fact detection to embedding cryptographic provenance at the point of capture, described as “provenance-at-origin.” This approach is presented as a way to bind a verifiable record to media assets so that authenticity can be traced across platforms, downloads, and reshares, potentially creating a differentiated infrastructure layer for digital content.
According to the post, upcoming regulations such as the EU AI Act and California SB 942, both expected to take effect in August 2026, may accelerate demand for verifiable content systems. OpenOrigins suggests that organizations adopting provenance infrastructure early could benefit from access to premium markets, including licensing verified content to AI developers and deploying more trustworthy agentic systems.
For investors, the post implies that OpenOrigins is positioning itself around compliance-driven opportunities and emerging markets for verified data rather than purely detection-based solutions. If the regulatory timelines and volume estimates of deepfake activity are broadly accurate, this strategy could support recurring revenue models tied to content verification, data licensing, and risk mitigation for enterprises exposed to synthetic media.