Rebasoft incorporates fingerprinting technology to detect, classify and track all devices on the network, rather than rely on traditional methods of applying agents and probes throughout the infrastructure. This innovative technique of fingerprinting, allows Rebasoft to capture all connected devices, including the non-traditional endpoints such as tablet devices, IP enabled cameras and smart meters.
Rebasoft’s ability to combine network, device and user activity through machine learning into fingerprinted and known behaviour is crucial in understanding and detecting anomalous behaviour and rogue activity. Instead of relying on fallible signatures and rules to detect threats, Rebasoft ’s behaviour anomaly detection techniques allows organisations to automatically and accurately detect the most advanced threats.
Within large organisation, the number of alerts that various detection tool generate can be overwhelming – especially if they don’t automate a response or offer a solution. Importantly armed with the right information, in a unified security platform, puts you back in control of your network and provides the ability to detect threats at the speed in which you can respond quickly.
In recent years, the growing complexity of the network along with the types of devices on the network has expanded the attack surface significantly. This has now made it very difficult for an organisation to protect themselves.
By harnessing existing network telemetry and management information it allows Rebasoft to reach into every corner of the network and discover every device. This new innovative approach to enterprise security allows us to offer our services at a more reasonable cost compared with the old traditional methods currently on the market.