• Trust & Safety Intelligence
Stopping Harm Before It Spreads: Proactive Detection of CSAM and NCII
Hear from child protection specialists, victim-survivor advocates, and safety technologists on what it takes to stop synthetic CSAM and image-based abuse at the earliest opportunity.
Presenters
Resolver
Resolver
Internet Watch Foundation
Reality Defender
SWGfL
Hash-matching remains a critical tool, effective at identifying previously catalogued child sexual abuse material (CSAM) and non-consensual intimate imagery (NCII) to prevent their redistribution at scale. Generative AI has created a different problem: novel CSAM and image-based abuse — content with no prior hash and no existing fingerprint — produced at a scale that reactive detection workflows were not designed to address.
Under the UK Online Safety Act (OSA) and EU Digital Services Act (DSA), platforms are already expected to identify emerging risks and demonstrate how their detection measures operate in practice. In response to the rise in “self-generated” sexual material produced through the extortion and abuse of children, the UK government has given platforms three months to introduce controls preventing children from sending and receiving sexually explicit images. Fines and potential criminal liability apply to leaders who fail to comply. Child protection organizations are calling for mandatory proactive detection requirements across both categories of harm.
This one-hour virtual webinar brings together Trust & Safety experts from Resolver, the Internet Watch Foundation (IWF), SWGfL (StopNCII.org). and Reality Defender to examine three distinct but connected challenges: detecting known content at scale, extending detection capability to previously unseen material, and moving upstream to intercept harm before it spreads. The goal is earlier intervention to prevent distribution and re-traumatization of the children depicted.
What you’ll learn:
- Why generative AI has created a detection problem that goes beyond previously catalogued content — and what proactive capability adds to your operating model
- What a proactive detection architecture looks like, and what changes at the workflow level when detection moves earlier in the content lifecycle
- What it means in practice to align mandate, expertise, and access for platforms building unknown CSAM detection capability
- How to build a safety architecture that addresses unknown image-based abuse, including synthetic and AI-generated material, while keeping child safeguarding operationally distinct as an absolute priority
- Where regulatory and legislative direction is heading in the UK, US, and key jurisdictions — and what pressure for proactive obligations signals for program design now
If you’re a Trust & Safety leader, detection program lead, or senior practitioner responsible for child safety governance or NCII response, this session is designed for you.
Register now to secure your spot.
