Prevent Account Takeover
Block Malicious Bots
Guarantee Website Uptime
The World's Most Advanced Account Takeover, Bot Management and Virtual Waiting Room Solutions
At the heart of every Cyber attack is automation. The use of bots is dramatically increasing and they have learnt how to avoid current detection tools by acting just as humans do when visiting a website.
They carry a large number of threats including, customer account takeover, scraping websites and online fraud. The costs and risks to organisations are notably increasing and in order to combat these rising threats, a fresh approach is needed.
At Netacea we introduce a new layer of security dedicated to bot detection and mitigation. Organisations need a solution that is agile, intelligent and one that adapts to the different threat levels facing their online presence.
Our solution is designed to complement existing controls such as WAF rulesets, rate limiting and threat databases, to provide deep analysis of all website visitors. We apply a practical use of A.I. to understand human and bot behaviours and adjust their website journey in real-time
The Netacea Advantage
At Netacea we live and breath account take over. Our teams of data scientists and product specialists are laser focused on eliminating your account take-over threat risk. Netacea has developed a unique machine learning architecture which intelligently adapts to your environment, creating custom account take over behavioural algorithms tailored to your enterprise estate.
Adaptive Threat Architecture
Netacea has developed a new layer of dynamically adaptive security for bot detection which changes according to the actual threats presented. Sophisticated bot attacks can only be mitigated by a solution that is agile, intelligent and one that adapts to the different threat levels facing their online presence.
Netacea is designed to complement existing controls such as WAF rulesets, rate limiting and threat databases, to provide deep analysis of all website visitors. We apply a practical use of A.I. to understand human and bot behaviours and adjust their website journey in real-time.
At the heart of our machine leaning is the core behavioural analysis engine that makes up the overall threat score. Rather than provide one consolidated threat score, we provide a comprehensive set of threat indexes, which you can use to power and integrate threat intelligence feeds into your environment of choice. We aggregate IP and user agents into behavioural visitor types, and show their actual behaviour across your domain.
Flexible API Architecture
Our adaptive data model and micro-services API approach gives huge power and flexibility to ensure that even the most complex of visitor requirements can be elegantly and reliable handled at volume, using the existing infrastructure that enterprise customers already maintain and own. You pipe the threat intelligence to where it is needed.
Just as the provenance of a work of art is used to determine its authenticity, we use a variety of machine learning techniques that look at the behavioural history of the origin IP, as well as current behaviour to build up a dynamic behavioural driven intelligence system based upon understanding the unique requirements of your enterprise estate.
Moving Beyond the Fingerprint
Together all these data points are fed into the machine learning engine. We call this the ‘digital provenance’ to reflect all the historical analysis as well as the in-depth digital forensic insight needed to verify authenticity. A bot may identify itself as Bing, but is it verified and authenticated as actually Bing, traceable to the Bing DataCentre? And who are its neighbours?
Collective Threat Architecture
Netacea works with leading 3rd party vendors to aggregate as much collective intelligence data on known bad actors as possible, which complements our own shared intelligence that we gather from our community. Rather than rely on our own shared intelligence footprint, we've built an ingest engine that can pull in data from multiple sources. All these data points help us to enrich the data we have based on IP, UA, source and origin, combining current and historical data, allows us to map the visitor user journey.