NEW REPORT! Generative AI: The New Attack Vector for Trust & Safety Download It Now!
Ordering and delivering food shouldn’t turn into a bad
experience for drivers or customers. Ensure your app
provides a safe & trusted environment that encourages
retention, using ActiveFence's comprehensive Trust &
Safety solution for food delivery apps.
Automatically identify and stop inappropriate conversations between delivery drivers, clients and support agents. ActiveFence’s Contextual AI models detect violations in 100+ languages including support for slang and emoji in harassment, profanity, hate speech, and more to ensure a safe and trusted experience while ordering and delivering food.
Avoid your food delivery app becoming a breeding ground for verbal abuse that leads to user churn. Automatically flag and prevent reviews containing hate speech, profanity, and inappropriate content from going live to ensure a positive user experience.
Malicious actors thrive on exploiting delivery apps for their financial gain through fake orders, inauthentic reviews, account takeovers, and more — at the cost of your brand reputation.ActiveFence’s Red Team proactively identifies gaps in policy, enforcement, and product and provides actionable insights to strengthen Trust & Safety mechanisms that keep you one step ahead of bad actors.
Leverage automation to optimize your content moderation process and increase efficiency. Set codeless workflows in seconds for automated actioning and queue prioritization to avoid an endless backlog of reviews and messages waiting for human review.
Manage all moderation efforts – from detection to taking action – with the first Trust & Safety platform designed for scale, including:
For food delivery businesses, in-app abuse can lead to real-life harm. Understand the vulnerabilities and how to stop them.
The value of content moderators can’t be understated - but the job carries significant risks. Learn how to keep moderators safe and efficient.
Read this case study of a sophisticated fraud operation, showing how we map fraudulent marketplace activities.