Engineering Blog

Jonathan Lavon, Principal Engineer @ ActiveFence.

AI revolution offers great opportunities for development and innovation, likened to the industrial revolution

The Wild, Wild Web

ActiveFence values FinOps. Engineers integrate cost considerations from the start, working closely with finance and business teams

Malicious content is readily shared on social media platforms. However, using technology we can make the work of resharing more difficult

This blog post explains why performance testing is important in software development, especially for companies with strict SLAs

Discover how AI and subject-domain expertise detect harmful content amidst vast user-generated data on online platforms

Working with biased data presents many problems. Here we share how to diagnose, handle, and reduce such data

Labeled datasets are crucial for models, Integrating feedback into AI is challenging. Here, I’ll share insights on overcoming these

Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online

Check out “Constructing and Querying Data models to Detect Online Harm” presented by our data team

Join Matar and Shimon as they explore the significance of prioritizing data quality and quantity in Data-Centric AI

Daniel and Chris of the podcast Practical AI chat with Matar Haller, our VP of Data and AI

One of the biggest challenges facing online platforms today — and especially those with UGC (user-generated content) — is detecting…

The metaverse offers community and innovation, but also heightened risks that require advanced detection and prevention measures