ActiveFence Launches Research & Development Blog to Share Knowledge to Increase Trust & Safety for Internet Platforms and Forums.
New technology-centered blog will focus on AI, deep learning, the metaverse, and more

NEW YORK, January 25, 2023 – ActiveFence, the leading trust & safety technology company, today launched a new Research & Development (R&D) blog, which will share the insights and knowledge ActiveFence researchers have gained while on the mission to make the internet a safer place. The blog will outline the distinct challenges that researchers have faced, ActiveFence’s complex development process, and the advancements made with the company’s solutions.

Protecting platforms and their users is one of today’s most complex, nuanced challenges, and it requires not just the dedication of skilled data scientists, engineers, and developers, but also collaboration and knowledge-sharing among companies, academic institutions, and research organizations. By sharing information, ActiveFence hopes to inspire other teams to work together to create new opportunities and innovations, especially in support of organizations with limited in-house capabilities.

“R&D is a critical component of any Trust & Safety organization,” said Iftach Orr, CTO and Co-Founder at ActiveFence. “Our R&D team is performing groundbreaking work developing new technologies and techniques to identify and mitigate risks, and ensure user safety. Through this new blog, we hope to share our approach and have other teams engage in our mission and think creatively about the challenges to make the internet a safer place.”

The blog will launch with numerous new articles on a range of topics – from ActiveFence’s AI capabilities and the metaverse to deep learning, data models and the importance of context in AI models – and will publish monthly thereafter. Written by members of the ActiveFence R&D team, the articles will go deep on AI and other technical topics. Some of the blogs publishing today include:

  • The Metaverse: Helping Platforms Keep Us Safe in New Digital Territory
  • Constructing and Querying a Data Model for Online Harm
  • How Did We Get to a Deep Learning Model for Symbol Recognition With a Small Amount of Labeled Information?
  • How to Overcome Biased Data by Generating Synthetic Samples

ActiveFence’s R&D team consists of 70 people, who develop machine learning algorithms for detecting harmful content, research new methods for protecting user privacy, and help companies stay ahead of evolving threats and address potential threats before they reach users.

About ActiveFence
ActiveFence is the leader in providing Trust & Safety as a Service, protecting online platforms and their users from malicious behavior and content. Trust and Safety teams of all sizes rely on ActiveFence to keep their users safe from the widest spectrum of online harms, unwanted content, and malicious behavior, including child safety and exploitation, disinformation, hate speech, terror, nudity, fraud, and more. We offer a full stack of capabilities with our deep intelligence research, AI-driven harmful content detection, and content moderation platform. Protecting over three billion users globally everyday in over 95 languages, ActiveFence lets people interact and thrive online.

Backed by leading Silicon Valley investors such as CRV and Norwest, ActiveFence has raised $100M to date; employs over 300 people worldwide; and has contributed to the online safety of billions of users across the globe.