The Challenge
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.
The Solution
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
Account Takeover
At Netacea we live and breathe account takeover. Netacea has developed a unique machine learning architecture which intelligently adapts to your environment, creating custom account takeover behavioural algorithms tailored to your enterprise estate.
Adaptive Threat Architecture
Netacea has developed a new layer of 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 and adapts to the different threat levels facing their online presence.
Behavioural Intelligence
At the heart of our machine learning is the core behavioural analysis engine that makes up the overall 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.
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.
Digital Provenance
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.
Collective Threat Architecture
Rather than rely on our own shared intelligence footprint, Netacea works with leading 3rd party vendors to aggregate collective intelligence data on known bad actors, which complements our own shared intelligence that we gather from our community.
