A Big Protection Question:
Proactive or Reactive?
ICS
Black Start
Pipelines
Adaptmicrosys Plans to Develop a Proactive Cybersecurity Framework for Energy Industry
Adaptmicrosys plan to develop a new way of "proactive protection" for enhancing organizational cybersecurity. It is anticipated that the proactive protection will secure information and various computer systems & devices connected via wire/wireless networks on the energy grid, gas pipeline, & other energy sectors by preventing unauthorized programs and cyber-attacks from being executed by processing units (i.e., CPUs) in the computer systems & devices without security software and hardware overheads. It will also replace software-based "reactive protections" employed today and will be a critical factor in "eliminating the resiliency of cybersecurity" for emerging & legacy energy delivery systems operating on information technology (IT) infrastructure.
Problem in Energy Sectors:
The Cybersecurity Vulnerability & Protections in Energy Industry
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Cybersecurity Vulnerability in Natural Gas Sectors
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Cyber-attacks in Industrial Control Systems (ICSs)
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Cyber-threats & Potential Preventions on ICS Networks: From IT to OT
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Black Start: A Resilience Process after Unsuccessful Reactive Protections
Advantages in our Technologies
The iPU™ (immunized Processing Unit) is capable of
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detecting & disabling unauthorized programs before running
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responding, protecting regardless of types of cyber-attacks (no identification and recovery required) without any security software and overheads, including performance, power consumption, chip size and cost, etc.
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running only programs authorized by users or authorized machines
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operating without update, lag time, extra cost & communication, and more
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operating fully automated & user friendly security without recurring cost
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satisfying real-time protection for transportation systems
The CALPU™ (Compiler-Assisted Lookahead Processing Unit) is capable of running only authorized programs in a secure and efficient manner for
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detecting unauthorized programs
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eliminating branch prediction delays
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discarding unnecessary flow-control instructions
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reducing instruction fetch cycles while guaranteeing code compatibility
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reducing energy consumption by employed Small Simple Low-Power Caches (SSL Caches)
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applying for low-power, high-performance mobile and server computing systems (i.e. smartphones, tablets, servers, etc.)
