Now: Efficiently moderate content and ensure DSA compliance Learn how
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.
Every user deserves to be protected - and every Trust & Safety team deserves the right tools to handle abuse.
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.
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.
Protect your brand integrity before the damage is done.
From privacy risks, to credential theft and malware, the cyber threats to users are
Empower your team to make faster decisions with greater accuracy
Contact us to get the full list and details on customized AI models
Integrate one API to start using our AI-driven automated detection. Add risk thresholds aligned to your policy, so that high-risk items will be automatically removed and benign items ignored: allowing you to reduce violation prevalence while reducing human review to only those items that require it.
Send text, images, audio, or video for analysis based on our contextual AI models, fueled by intelligence of 150+ in-house domain and linguistic experts. For each item, our engine will generate a risk score between 1-100 indicating how likely it is to be violative, providing indicators and a description of the identified violations to make human decisions easier and faster.
Improve accuracy with a continuous, adaptive feedback loop that automatically trains our AI and adjusts risk scores based on every moderation decision.
ActiveScore child safety models automatically flagged a seemingly benign picture and description as high risk due to a promotion of a link to a malicious CSAM group with 67K members within the profile itself. By analyzing it against our intel-fuelled database of millions of malicious signals, including the profile’s complete metadata, the profile was immediately flagged to the platform and removed.
ActiveScore identified racial slurs in the review comments of a listing appearing to promote sales of artisanal soaps. By analyzing the post’s full metadata against 100+ languages, ActiveScore detected Spanish text as violative, saying: “Here comes Chaca down the alley killing Jews to make soap” and the review was automatically removed.
ActiveScore hate speech models automatically detected multiple white supremacist songs with media matching technology when compared to ActiveFence’s proprietary database that contains the largest database of hate speech songs. Within seconds, it found matched duplicates and similarities to provide a high risk score.