Bastille releases IoT security solution to protect enterprises from attacks
Bastille, an enterprise IoT security company, announced the availability of its new service to protect internet of things enterprises from information and security threats. Bastille’s solution uses software-defined radio sensors backed by machine-learning technology to provide enterprises with visibility into mobile, wireless and IoT security. The services is designed to enable the ability to sense, identify and localize potential threats so security teams can take action and preemptively remove those threats before harm is done.
“Your corporate airspace can either be a hugely vulnerable attack surface, or it can be a new contributor to your security situational awareness,” said Chris Risley, CEO at Bastille. “With the mobile world and unwired communications creating thousands of new threat vectors, enterprises have never been more vulnerable to a radio-based attack simply because you can’t protect what you can’t see. At the same time, almost every person in or near your facility now carries a radio transmitter in the form of a mobile phone. The Bastille solution scans the entire corporate airspace to sense, identify and localize emerging threats and behavioral anomalies resulting in full visibility of any airborne risks in your environment.”
Bastille uses software-defined radio sensors with machine learning cloud analytics to continuously scan the full spectrum from 60MHz to 6GHz, including all Wi-Fi, Bluetooth, cellular and IoT security protocols, and provide real-time situational awareness for all wireless infrastructure in the enterprise.
The Bastille solution is built upon three areas of technology that result in the ability to Sense, Identify and Localize threats:
Collaborative bandit sensing scans the spectrum for emitters and threats. Using multi-armed bandit prediction algorithm and machine-learning techniques, Bastille’s sensors make distributed decisions about whether to observe a known signal versus scanning another part of the spectrum to find unknown signals.
Bayesian device fingerprinting is used to detect and identify devices in an enterprise’s airspace. It leverages probabilistic graph models to resolve emitter, device and people-device entities to produce situational awareness of an enterprise’s airborne (RF) and physical space.
Distributed tomographic localization provides actionable position information of all emitters in the corporate airspace. This technology passively localizes any emitter within a meter of accuracy, enabling customers to geo-fence emitters and set localization-based alerts for sensitive areas.
Bastille is providing three separate service offerings of its solution:
- Bastille Enterprise: A full solution deployment from one floor to enterprise-wide to discover and localize device/threat sources. Sensors are installed at the same density as Wi-Fi hotspots, with four to six sensors minimum per area recommended for premium threat localization. The solution can determine all radio-capable devices in the environment, their threat capabilities and any active threats.
- Bastille Audit: A one-month audit focuses on the airborne threats in a single area of an enterprise’s environment up to 25,000 square feet. Using a maximum of 10 sensors, Bastille provides point-in-time analysis and a report of the current threats in their environment.
- Bastille Desktop: A one week audit of airborne threats in a small area gives enterprises a trial of the Bastille solution. Featuring a desktop sensor, enterprises can see the different types of radio-borne threats that enter their airspace on a daily basis.