AI-generated content is reshaping the risk landscape faster than most platforms can respond.
Volumes are surging, harmful material is harder to trace, and regulatory expectations keep rising. For the leaders accountable for trust, safety, risk, and compliance, the pressure to act quickly, and prove it, has never been greater.
Join Highspring and SASHA for a practical session on how leading organizations manage NCII, CSAM, and IP infringement at scale. We'll show how content provenance technology connects to real-world moderation queues, legal escalation paths, and enforcement workflows, all while keeping humans in the loop. You'll see how teams move beyond isolated detection to a connected model that strengthens compliance, improves auditability, and reduces review friction.
Expect real-world workflow examples, a live demo, and a look at how a focused six-week pilot can deliver measurable efficiency gains. If you're responsible for protecting your platform without slowing growth, this session is for you.
What you'll walk away with:
- A clear picture of where AI-driven content risk is heading and what it means for your enforcement obligations
- A framework for combining content provenance technology with operational workflows that actually scale
- A live demonstration of how SASHA's detection and tracking capabilities flow into real-world moderation queues, escalation pipelines, and compliance reporting
- A practical path to measurable ROI, including a 6-week pilot offer with defined success metrics
What we'll cover:
- The problem landscape: The surge in AI-generated harmful content, growing regulatory requirements (including 150-plus global age assurance laws and the Take It Down Act), and the operational strain that's pushing manual review teams past their limits.
- SASHA's content provenance technology: How leading platforms are moving beyond detection toward persistent tracking and verification, encoding content at creation, decoding it across platforms, and identifying manipulated or synthetic media.
- Operationalizing with Highspring: How Highspring turns technology signals into scalable enforcement. That means human-in-the-loop moderation systems, triage queues, legal escalation workflows, QA, and the governance structures that make compliance sustainable.
- Joint live demo: A real-world walkthrough of the end-to-end lifecycle: from provenance and detection through triage, escalation, and resolution.
If your organization operates a digital platform, marketplace, social network, media property, or gaming environment and you're under pressure to move faster without sacrificing compliance, you won’t want to miss this—register now.
Presenters
As the creator of #TrustTuesday Ask the Expert and a partner of All Tech Is Human, Melanie brings together leaders across Trust & Safety, policy, and technology to tackle some of the internet's most pressing challenges. She is particularly passionate about addressing AI-generated abuse, non-consensual intimate imagery (NCII), online nudification apps, synthetic media, and stolen content—while advancing solutions that protect users, creators, and digital communities.
As the creator of #TrustTuesday Ask the Expert and a partner of All Tech Is Human, Melanie brings together leaders across Trust & Safety, policy, and technology to tackle some of the internet's most pressing challenges. She is particularly passionate about addressing AI-generated abuse, non-consensual intimate imagery (NCII), online nudification apps, synthetic media, and stolen content—while advancing solutions that protect users, creators, and digital communities.
He brings 15+ years of GTM leadership from Google and LinkedIn/Microsoft, where he worked on products used by billions — Search, Google Play, Assistant, and LinkedIn — platforms where AI was the backbone and trust and safety were front and center, including early work licensing content before generative AI went mainstream. That perspective, built inside the platforms shaping how billions experience AI, now drives his focus at Sasha: translating provenance technology into enforceable trust and safety outcomes at scale.
He brings 15+ years of GTM leadership from Google and LinkedIn/Microsoft, where he worked on products used by billions — Search, Google Play, Assistant, and LinkedIn — platforms where AI was the backbone and trust and safety were front and center, including early work licensing content before generative AI went mainstream. That perspective, built inside the platforms shaping how billions experience AI, now drives his focus at Sasha: translating provenance technology into enforceable trust and safety outcomes at scale.