“We try to address all the ways a hacker would compromise a platform,” said Ridley. The data that Senrio Sensors collect is fed into a large machine learning system running on Amazon’s cloud that actually identifies what type of device it is. Senrio also does more in-depth analysis of the data, including traffic to and from the device, patterns of activity, destination and source IP addresses, and so on. The goal is to build a behavior pattern for the device so that deviations or anomalies in its behavior can be noted.
Read the full article...securityledger.com/2016/06/startup-senrio-sniffs-out-stealth-iot-devices-on-your-network/
“The market needs a comprehensive answer to the IoT dilemma: A dramatic increase of deployed devices, high susceptibility to attacks due to inherent vulnerabilities and high value of the accessible assets. Today, there are few solutions to this challenge. However, Senrio offers a much-needed new approach,” said Christina Richmond, Program Director, Security Services, IDC.
“We typically associate the term ‘Internet of Things’ with the consumer world, smart toasters and WiFi fridges; however, a large part of our life depends on networked embedded devices that have been around for decades. Think of smart meters, medical devices, and connected industrial controllers used for elevators, traffic lights, and factories. Adoption is driven by business rationale but the security exposure is often overlooked. Based on my experience, there is not a single IoT device that cannot be compromised or misused by a determined attacker,” said Stephen Ridley, CEO of Senrio.