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• Overview
• Challenges
• The Solution
• Benefits
• Resources
• Industries

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Overview

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.[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/2″][vc_single_image image=”29064″ img_size=”full” alignment=”right” qode_css_animation=””][/vc_column_inner][/vc_row_inner][vc_column_text el_class=”blockListNew four” css=”.vc_custom_1683803257629{padding-top: 50px !important;}”]

• 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

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Challenges

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:

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• 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.

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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.[/vc_column_text][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”padding-lg” el_id=”section-3″][vc_column][vc_column_text css=”.vc_custom_1683606799259{padding-bottom: 50px !important;}”]

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

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• 
  

  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:

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

• 
  

  Quicker alerts & faster mitigation:

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

• 
  

  Local monitoring & data-processing:

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

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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).

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• 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.

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MicroAI Launchpad™

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

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• 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.

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Operational Benefits

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• 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)

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MicroAI Resources

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Products

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Industries

Get started with intelligent integration and automation.

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Manufacturing

Predictive Intelligence – Industry 4.0 to 5.0

The next revolution in manufacturing will involve going beyond factory automation and into factory intelligence…

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Telecom

Personalized AI for Telecom

Optimize. Innovate. Disrupt. MicroAI™ provides advanced embedded and edge intelligence to power next-generation telecom solutions. Optimize network performance, innovate new offerings, and create new revenue streams.

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Automotive

The Automotive Connectivity Paradox

Today’s vehicles are equipped with IoT-enabled devices and complex telematics networks that provide live tracking, remote start and stop, remote access, temperature control, and autonomous driving.

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Infrastructure

Around the globe, many infrastructure industries need advanced technologies that will meet evolving infrastructure demands.

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Financial

AI-enabled financial intelligence that transforms volumes of data into profitable insights. MicroAI™ brings a full suite of AI and Machine Learning (ML) solutions..

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