Breaking #AI #Health #Security
#Stock News: GBT (OTCPINK: $GTCH) is Enhancing qTerm’s #Cybersecurity #Technology
to Provide a Higher Level of Data Protection For its Users
Homomorphic
encryption techniques will be used to ensure robust privacy and security for
qTerm’s user’s sensitive data and records
San
Diego, CA, December 2 2021 - (Investorideas.com Newswire) GBT Technologies Inc.
(OTCPINK:GTCH)
("GBT”, or the “Company”) is enhancing its qTerm device cybersecurity
technology in order to ensure robust privacy and sensitive data protection for
its potential users. Due to the rise of sensitive data breach cases in the past
few years, GBT decided to add another layer of data protection, developing
breakthrough techniques to prevent potential data theft. The enhancements
will be performed within the device’s AI computer programs to increase data security
for its machine learning and computing environments. GBT's qTerm, a human vitals
intelligence device is targeted to measure human vitals with a touch of a
finger, and includes AI technology for personal health monitoring. The device is accompanied by a smartphone app and a synchronized
widget web application to keep a history and provide health related analytics.
Read this news, featuring GTCH
in full at https://www.investorideas.com/CO/GOPH/news/2021/12021qTerm-Cybersecurity.asp
GBT
will be implementing Homomorphic Encryption (HE) techniques within its
AI environment to enable encrypted data processing without decrypting it first.
The qTerm algorithms send data back and forth over encrypted channels. The AI
needs to perform computations and analysis and typically the system decrypts
the information first, working on it, and re-encrypting it again before sharing
it. This creates a potential security risk. HE technology enables robust
data protection since the processing is always done with the encrypted data. HE
techniques were known to have one major disadvantage, which is a very long processing
time compared to decrypted data processing runtime. GBT developed new algorithms
that operate with much higher performance enabling fast computations using HE
methods. The company plans to implement HE technology within qTerm’s
Machine Learning components, mobile and web interface computing environments.
“Our
AI engine includes multiple modules that shares digital assets over internal
channels. The machine learning sub-systems may communicate sensitive information,
for example, sharing users medical/personal information between the data storage
module and the data training module. In order to secure data, there are two
major operations that are done, encryption and decryption. The encryption typically
happens where the sensitive data is first captured, for example after qTerm
device recording a user’s vitals. The data is then sent to the AI system for processing
on the main data center. At the data center the data needs to be decrypted to
work on, and then re-encrypted after completion. The decrypting phase
introduces potential data breach risk. Using the HF technique eliminates the
need for decryption, and all operations can be performed on the encrypted data
which eliminates the major security risk. We plan to develop several types of
algorithms in this domain that will use cryptography and mathematical methods
to operate directly on encrypted data. In this way we’ll significantly enhance
the data’s privacy and security. One of qTerm’s main purposes is to perform as
a telemedicine device which communicates with its AI data center. User’s vital
information will be sent via a web widget and HE based technology will ensure a
high level of data security. AI systems require robust security mechanisms by
their nature and by using HE we are preserving data privacy starting at the
source. Particularly, with a telemedicine type device, like qTerm, the data
will be encrypted and outsourced to its data center environment for processing,
all while encrypted. In the past few years there is a constant growing concern
about data privacy and security, and implementing new techniques and methods in
this domain will ensure highly secured AI operation and computation. We believe
that this is especially important for the qTerm’s device as it collects, processes
and records sensitive personal and medical information,” said Danny Rittman the
Company’s CTO.
There
is no guarantee that the Company will be successful in researching, developing
or implementing this system. In order to
successfully implement this concept, the Company will need to raise adequate
capital to support its research and, if successfully researched and fully
developed, the Company would need to enter into a strategic relationship with a
third party that has experience in manufacturing, selling and distributing this
product. There is no guarantee that the
Company will be successful in any or all of these critical steps.
About Us
GBT
Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which
considers itself a native of Internet of Things (IoT), Artificial Intelligence
(AI) and Enabled Mobile Technology Platforms used to increase IC performance.
GBT has assembled a team with extensive technology expertise and is building an
intellectual property portfolio consisting of many patents. GBT’s mission, to
license the technology and IP to synergetic partners in the areas of hardware
and software. Once commercialized, it is GBT’s goal to have a suite of products
including smart microchips, AI, encryption, Blockchain, IC design, mobile
security applications, database management protocols, with tracking and supporting
cloud software (without the need for GPS). GBT envisions this system as a
creation of a global mesh network using advanced nodes and super performing new
generation IC technology. The core of the system will be its advanced microchip
technology; technology that can be installed in any mobile or fixed device worldwide.
GBT’s vision is to produce this system as a low cost, secure,
private-mesh-network between all enabled devices. Thus, providing shared
processing, advanced mobile database management and sharing while using these
enhanced mobile features as an alternative to traditional carrier services.
Forward-Looking Statements
Certain
statements contained in this press release may constitute "forward-looking
statements". Forward-looking statements provide current expectations
of future events based on certain assumptions and include any statement that
does not directly relate to any historical or current fact. Actual results may
differ materially from those indicated by such forward-looking statements
because of various important factors as disclosed in our filings with the
Securities and Exchange Commission located at their website ( http://www.sec.gov). In addition to these
factors, actual future performance, outcomes, and results may differ materially
because of more general factors including (without limitation) general industry
and market conditions and growth rates, economic conditions, governmental and
public policy changes, the Company’s ability to raise capital on acceptable
terms, if at all, the Company’s successful development of its products and the
integration into its existing products and the commercial acceptance of the
Company’s products. The forward-looking statements included in this press
release represent the Company's views as of the date of this press release and
these views could change. However, while the Company may elect to update
these forward-looking statements at some point in the future, the Company
specifically disclaims any obligation to do so. These forward-looking
statements should not be relied upon as representing the Company's views as of
any date subsequent to the date of the press release.
Contact:
Dr.
Danny Rittman, CTO
press@gopherprotocol.com
GBT Technologies Inc.
(OTCQB:GTCH) is a featured tech stock on
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