Manage and orchestrate the entire Trust & Safety operation in one place - no coding required.
Take fast action on abuse. Our AI models contextually detect 14+ abuse areas - with unparalleled accuracy.
Watch our on-demand demo and see how ActiveOS and ActiveScore power Trust & Safety at scale.
The threat landscape is dynamic. Harness an intelligence-based approach to tackle the evolving risks to users on the web.
Don't wait for users to see abuse. Proactively detect it.
Prevent high-risk actors from striking again.
For a deep understanding of abuse
To catch the risks as they emerge
Disrupt the economy of abuse.
Mimic the bad actors - to stop them.
Online abuse has countless forms. Understand the types of risks Trust & Safety teams must keep users safe from on-platform.
Stop online toxic & malicious activity in real time to keep your video streams and users safe from harm.
The world expects responsible use of AI. Implement adequate safeguards to your foundation model or AI application.
Implement the right AI-guardrails for your unique business needs, mitigate safety, privacy and security risks and stay in control of your data.
Our out-of-the-box solutions support platform transparency and compliance.
Keep up with T&S laws, from the Online Safety Bill to the Online Safety Act.
Over 70 elections will take place in 2024: don't let your platform be abused to harm election integrity.
Protect your brand integrity before the damage is done.
From privacy risks, to credential theft and malware, the cyber threats to users are continuously evolving.
Here's what you need to know.
Across the internet, criminal enterprises build networks to sell illegal goods and services, including restricted and prescription drugs. While Section 230 and the EU’s eCommerce Directive had provided liability exemptions for those platforms exploited in this illegal trade, regulations are changing. Taking the fight against drug dealing enterprises, the UK is preparing its groundbreaking Online Safety Bill that will require online platforms to take proactive steps against the promotional activity, as well as identify and block repeated account creation. The question is how to detect this harmful activity.
In this ActiveFence case study, we demonstrate how we reverse engineer illegal goods networks to locate all connected entities across a wide range of platform types and exploited companies.