Cyber Security Embedded into Devices and Machines
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Cyber Security

The cyber-security landscape is changing….daily. Rapid detection and mitigation of a cyber-attack can mean the difference between a minor disruption or an operational catastrophe. Threat Detection in minutes instead of days.

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Next-Generation Cyber Protection

Yesterday’s cyber-security is not effective against today’s increasingly sophisticated cyber-criminal. The threat landscape is constantly evolving, driven by malicious actors with a fully weaponized arsenal of tools and methodologies. MicroAI takes endpoint security to the next level of effectivity by combining several AI-enabled security elements into a single, localized, cost-effective solution.

  • Costly Integration

    Requires no data configuration or costly integration

  • Cyber Security

    Cyber security embedded into individual machines or groups of assets

  • Advanced Algorithms

    Advanced algorithms that actively learn the normal state of asset operation

  • Real-Time Detection

    Continuous, real-time, anomaly detection


The Escalating Threat

Every industry that depends on the secure performance of IT and OT assets faces an increasingly complex and hazardous cyber landscape. Current problems include:

  • Overwhelming Volume

    Global cyber-attacks are increasing at a rate of ~ 300% year over year. The sheer volume of attacks overwhelms the personnel and existing tools responsible for cyber protection.

  • Device Power/Memory Limitations

    Many IT and OT edge devices operate on low power and limited memory. These devices are less adaptable to traditional security measures and more vulnerable to attack.

  • Inconsistent Connectivity

    Many IT and OT asset ecosystems contain devices and machines that have inconsistent connectivity. Connectivity disruptions increase the risk of cyber intrusion.

  • Inability to Predict Threats

    Most legacy security tools are purely reactive. Asset stakeholders have no ability to predict potential cyber threats or to take preventive action.

  • Crippling Ransomware Attacks

    Ransomware attacks can result in the temporary or permanent loss of sensitive data. Depending on the scope of the attack, a single asset, an entire factory, or a chain of interconnected factories can be disabled.

  • High Cost of Data Processing

    Heavy reliance on cloud-based data processing adds significant cost to security programs. Configuration costs can also be prohibitive.

An Arsenal of IT and OT Security

MicroAI™ has pioneered the latest in Edge-native AI technology to develop products that bring powerful cyber-security capabilities to IT and OT infrastructures.

The Solution

MicroAI Security™ – A More Local Approach to Cyber-Security

Monitoring, alerting, and mitigation at the asset endpoint Edge-native AI for Next-Generation Zero-Day Attack Protection

  • Machine and device

    Machine and device centric:

    MicroAI Security™ is embedded at the MCU or MPU of a device or machine – Zero-Day protection at the extreme edge.

  • Proprietary algorithms

    Proprietary algorithms:

    Predictive AI and ML algorithms that live, train, and learn directly on the targeted asset – predict instead of reacting.

  • Quicker alerts

    Quicker alerts & faster mitigation:

    Endpoint security that enables quicker detection and reaction to Zero-Day infections – staying one step ahead of hackers.

  • data-processing

    Local monitoring & data-processing:

    Processing critical data at the endpoint eliminates security risks associated with cloud processing – more secure and more cost effective.

MicroAI AtomML™ and AtomML+™

Embedded (AtomML) and Edge (AtomML+) security that lives, trains, and monitors asset security either at the individual asset microcontroller (MCU) level or at the edge (depending on application).

  • Reduced Cloud Dependence : Edge-native security allows all critical data to be collected, synthesized, and analyzed locally. Critical IT edge device data is not exposed to cloud transmission, significantly reducing its exposure to cyber-attack.
  • Personalized Security : Ability to customize security protocols on a device-by-device level to accommodate specific conditions for individual devices or groups of devices.
  • Quicker Alerts and Mitigation : Localized, device-specific, security that provides quicker notification of security breach and faster activation of mitigation actions.
  • Predictive Security : Predictive analytics produce actionable insights into future threats. Enables a transition from reactive to predictive security.
  • Simple Integration : Quickly onboard and validate security protocols into devices within the IT ecosystem. Eliminates the need for expensive external hardware and costly data labeling.
Reduced Cloud Dependence
Personalized Security
Quicker Alerts and Mitigation
Predictive Security
Simple Integration

MicroAI Launchpad™

Launchpad provides a comprehensive platform for development, test, deployment, and visualization of machine learning-enabled cyber-security capabilities.

  • Access to MicroAI Library

    Developers can quickly access and onboard MicroAI’s AI and ML software libraries and SDKs.

  • Live Data Ingestion

    Seamless and secure ingestion of data from a wide variety of IT and OT devices and machines (sensors, robots, field assets, network equipment, etc.).

  • Intelligent Workflows

    The embedding and training of intelligent workflows that automate the process of security alert notifications and implementation of rapid threat mitigations.

  • Real-time Visualization

    A centralized visualization engine that provides continuous visualization into the security status of connected devices and machines.

  • Live Testing and Iteration

    Developers can easily test their initial designs within a controlled, real-time, environment. Design iterations can be quickly implemented and validated.

Operational Benefits

  • Cyber-security that protects against the most sophisticated cyber-attacks (Zero-Day, Ransomware, DDoS, etc.)
  • AI-enabled evolution from a reactive to a predictive cyber-security state
  • Reduced risk of negative financial impacts resulting from data theft and/or operational disruptions
  • Low implementation cost and reduced management burden
  • Dynamic security that evolves with the changing threat landscape (protection for today and tomorrow)
Operational Benefits


Get started with intelligent integration and automation.


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