Bastille, which focuses on security for enterprise “internet of things” deployments, announced a new solution that 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.
“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 said it uses software-defined radio sensors with machine learning cloud analytics to continuously scan the full spectrum from 60 MHz to 6 GHz, including all Wi-Fi, Bluetooth, cellular and IoT security protocols, and provide real-time situational awareness for all wireless infrastructure in the enterprise.
Bastille said its solution is built upon three areas of technology that result in the ability to sense, identify and localize threats.
Its Collaborative bandit sensing scans the spectrum for emitters and threats. Using multi-armed bandit prediction algorithm and machine-learning techniques, Bastille claims its sensors make distributed decisions about whether to observe a known signal versus scanning another part of the spectrum to find unknown signals.
The company’s 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 and physical space.
Finally, its Distributed tomographic localization is said to provide actionable position information of all emitters in the corporate airspace. This technology is designed to passively localizes any emitter within a meter of accuracy, enabling customers to geo-fence emitters and set localization-based alerts for sensitive areas.
Bastille said it’s providing three separate service offerings of its solution.
- Bastille Enterprise is 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 hot spots, with four to six sensors minimum per area recommended for premium threat localization. The solution is said to be able to determine all radio-capable devices in the environment, their threat capabilities and any active threats.
- Bastille Audit is a one-month audit focused 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 said this option provides point-in-time analysis and a report of the current threats in their environment.
- Bastille Desktop is a one-week audit of airborne threats in a small area gives enterprises a trial of the Bastille solution. This option includes a desktop sensor designed to allow enterprises to see the different types of radio-borne threats.
