to re-encrypt media segments, modify payloads or introduce expensive edge computing. We’re extending existing DRM workflows to continuously validate both content access and CDN authorisation, allowing operators to strengthen security while preserving standards- based deployments,” Hynard adds. Alternative anti-piracy approaches, meanwhile, include session-based forensic watermarking – where invisible identifiers trace illegal re- streams back to the exact subscriber or device – and geo-fencing, which blocks traffic from certain IP addresses, even if they are using a VPN. These measures, though, don’t always work and are often reactive rather than preventative. “As streaming continues to grow, the operators who continuously validate trust throughout playback – rather than only at login – will be better positioned to protect premium content, reduce
unnecessary CDN costs and preserve the economics of their streaming services,” Hynard concludes. Fake news? Whether your content is safe is one thing; whether it’s even real is another. The rapid rise of generative AI – which can create totally fake yet lifelike videos – has transformed content moderation, particularly in broadcast workflows, into a critical obstacle. Traditionally, human reviewers would evaluate footage manually, which was often a tedious process. Yet in our relentless quest for efficiency, coupled with the sheer volume and variety of incoming content, we are primed to miss the signs that a video is synthetic. For news broadcasters and others in high-stakes industries, sharing AI-generated content can undermine credibility at best. “If you’re going to put information out there, you want it to be as valid
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