Your digital community’s knight in shining armour
Usually found patrolling chatrooms making sure the kids are ok
We are an independent next generation cyber security company protecting our clients’ content and their customers. We enable safe digital lives for kids and teenagers by preventing bullying, harassment, and cyber grooming in online communities. Our ai-powered SaaS solution detect unwanted behavior in real-time, flag fake profiles and predict dangerous conversations to stop abuse before it happens.
Amanda represents a new era in chatroom moderation by greatly improving the quality and efficiency of the moderators’ job. In turn this will increase the online communities’ health and reputation, attract customers, and make them more likely to stay.
Professor at Department of Information Security
and Communication Technology, NTNU
Founded on a calling to make the internet a safer place
Patrick is a professor at The Norwegian University of Science and Technology (NTNU), specialized in behavioural biometrics. Aiba is a result of 7 years of research led by Professor Patrick Bours.
Back in 2016 a sextorition story with a tragic outcome sparked Patrick’s interest: Fourteen-year-old Amanda Todd met an adult male online, pretending to be an eighteen-year-old boy. She was later extorted and harassed with the threat of exposing intimate photographs she had shared.
Knowing that keystroke dynamics could tell something about the age and gender of a person, the idea of Amanda was born.
Since then, the focus moved to detection of predatory conversations based on text. This was already a topic high on the research agenda in 2012, but all research was done from a forensic point of view; analyzing full conversations after the fact. Useful for investigations but not preventive.
Based on the idea of a proactive system, Patrick’s research has mainly been on early detection of cyber grooming conversations with two main goals in mind: As early detection as possible while maintaining privacy. Major progress has been made on both goals with Amanda: only the last message in a conversation is analyzed at any time and on average only 20 lines of text are needed to detect a predatory conversation.
Chief Executive Officer
Chief Technology Officer
Anne Lise Waal
Chief Operations Officer
Chief Design Officer
Ralph Natter Berg