Product: Moderation

A top-5 mobile gaming publisher had six months to migrate 750M+ players off Community Sift with no drop in moderation quality across a dozen languages. Here is how the RFP, large-scale testing, on-site workshop, and shadow-testing migration to Stream AI Moderation actually played out.

Most teams still think about bot detection as a security problem. CAPTCHAs, rate limiting, DDoS mitigation, browser fingerprinting, that's the domain of the security team, or the network layer above it. It's the gate traffic hits before it ever reaches the product. But the bots causing the most damage in 2026 aren't trying to take

Everyone talks about models. New architectures, larger parameter counts, faster inference, those tend to dominate the conversation. But if you're actually building AI systems (or evaluating vendors), you quickly realize something else matters more: The data. Not just how much of it you have, but where it comes from, how it's processed, and how it evolves

Marketplaces only work when people trust each other. Buyers trust that listings accurately represent what they're purchasing. Sellers trust they won't be scammed, harassed, or pushed off the platform by bad actors. And both trust that the marketplace itself is actively protecting them, not reacting after damage is already done. As marketplaces scale, maintaining that

Content moderation is the invisible infrastructure of the web. Every message sent, image uploaded, livestream broadcast, and marketplace listing posted passes through moderation systems that determine whether it reaches its intended audience. Get it right, and your platform becomes a thriving community where users feel safe to connect, transact, and create. Get it wrong, and

Online communities rely on moderation to function, yet every moderation decision carries significant ethical implications. The platforms that choose to remove, allow, promote, or downrank content directly shape culture, discourse, and safety. As AI systems take on more moderation responsibilities and regulatory scrutiny increases, the stakes continue to rise. Ethical moderation is no longer only

As online platforms strengthen their safety frameworks, malicious users respond with increasingly creative ways to evade detection. The rise of content moderation circumvention is not a surprise. Modern apps support global conversations at scale, and as moderation becomes more effective, the incentive to outsmart it grows. But circumvention isn't increasing solely because moderation is improving.

Trust and safety teams sit at the intersection of user experience, legal risk, and community health. Yet many teams still struggle to answer basic performance questions like: Is our moderation platform actually catching harmful content? Are we overblocking and frustrating good users? Are our tools paying off in time and cost savings? The only way