Zingbox

Enabling the Internet of Trusted Things

IoT Guardian

IoT Guardian

Discover  –  Detect  –  Defend

Traditional IT security relies on detecting malware on a few platforms, focusing on data protection. Defending IoT devices with a variety of non-standard or customized operating systems requires a new model. ZingBox invented an IoT personality-based approach to IoT security that discerns each device’s behaviors, detects suspicious activities through self-learning, and enforces trust in all connected devices.

Discover

ZingBox IoT Guardian provides visibility into the nature and actions of all connected devices. Because it builds the deep knowledge of each individual device’s trusted behavior, it can automatically sense, identify, and classify connected devices. Unlike traditional end-point security products, IoT Guardian eliminates the need to install and manage software agents.

  • Security Posture

    Identifies, Classifies, Actively Manages IoT Inventory

  • Self-Learning

    Uses AI and Sophisticated Deep Learning Algorithms

  • Non-Disruptive

    Agentless, Seamless

Detect

Like a confidant, ZingBox IoT Guardian has a deep grasp of each device’s personality. Sophisticated, Deep Learning algorithms continually analyze communication to and from every device to profile them, provide comprehensive risk assessment and detect irregularities to provide alerts for suspicious behavior.

  • Device Personality

    Learns every device’s unique personality and profile

  • Deep Learning

    “Unsupervised” Deep Learning

  • Risk Exposure

    Organization-level risk assessment

Defend

With unwavering focus on Service Protection, ZingBox IoT Guardian is constantly watching for the deviations in behavior of individual and collection of devices. It accurately assesses risk in real-time, enforces trusted behavior, and recommends a course of action.

  • Real Time

    Constantly watches the security posture of individual and collection of devices

  • Actionable IoT Intelligence

    Leverages existing network and security infrastructure

  • Trusted Behavior

    Enforces acceptable behavior consistent with each device’s service profile

“The ZingBox solution discovered over 95% of medical devices compared to current tools that could only detect about 5%. The intelligence and accuracy of elaborate device personalities allowed us to turn ZingBox into a tool that regulates medical device behaviors.”

— Jerry Marshall, United Regional Health Care System

“ZingBox discovers all the IoT devices on my network, tells me what they are doing, identifies the location they are trying to be accessed from, and provides the ability to defend my network from IoT threats. The deep learning technology proactively protects the network from zero-day attacks.”

— Bradley Chambers, Brainerd Baptist School

“SoftBank C&S is committed to providing the best security technologies and products to our customers and partners. We’ve carefully evaluated many solutions, and ZingBox clearly stands out with its disruptive AI technology and innovative IoT device personality-based approach to ensure IoT service integrity and continuity.”

— Yasuo Mizoguchi, SoftBank C&S President and CEO

“IoT is entering a new business-critical and even life-critical phase where millions of diverse but vulnerable devices deliver crucially important services. This new phase goes beyond the second generation of IoT to deliver a new class of cyber risk management solutions. Such new solutions are adaptive and must leverage the volume and variety of devices and their unique personalities.”

— Peter ffoulkes, OrionX Research