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Cloud AI Coordinated National Cyber Defense Systems
2021 was marked with a number of cybersecurity breaches on private as well as government institutions across the globe. NSA tools, including EtarnalBlue (a Windows exploit), were allegedly leaked by shadow brokers. In the UK, hundreds of thousands of systems were left crippled by WannaCry ransomware. The systems belonged to private individuals, large corporations, and public utilities and negatively impacted the National Health Service facilities in the region. However, the biggest concern for all countries is the ability of such malware to affect and detriment the quality of cybersecurity deployed to protect national cyber defense systems.
A prime example of that is the Conficker worm that attacked the national cyber defense systems of a number of countries along with their civil establishments. The Royal Navy of the UK, according to DOD, was infected, and its network of ships and submarines was compromised. Intramar (the computer network of the French Navy) was also attacked and had to be quarantined. Not only that but the air operations in France were also suspended due to that. Computers hosting the German Army’s networks were also infected. Conficker wreaked havoc by seeking out flaws in the software and formed a botnet that used a complex combination of different and highly advanced malware techniques. It was not easy to weed out and afflicted millions of systems across more than 190 countries.
How Cloud AI Helps National Cyber Defense Systems
Cybersecurity threats require huge amounts of data processing at extreme speeds that the conventional and outdated algorithms are not capable of performing to be mitigated. The data during cyberattacks changes in highly dynamic manners and requires proficient tackling that only cloud AI systems can carry out with the help of their flexible and real-time capabilities. Artificial intelligence allows the systems to learn from past experiences and events and come up with logical solutions and remedies for prevention. The cloud and AI together can easily detect and inform a command center if any part of the national cyber defense systems is compromised.
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The cloud AI can even analyze the level of damage inflicted by the malware and alert the command center about the current usability and degraded potential levels of the systems. Furthermore, it can also determine alternatives to complete an ongoing mission before suggesting rational and calculated ways around the infection to return the systems to a trusted or known state. Without artificial intelligence and the cloud, cybersecurity systems and networks cannot detect an intrusion or manage patches in an autonomous manner. They also do not have the ability to regularly perform network audits or status 1/3 data from all the relevant systems.
Cloud AI does all that by leveraging several concepts, such as Artificial Neural Networks (ANNs), Fuzzy Logic Control Systems, Machine Learning, etc. All these concepts are theoretically amenable, in combination, as well as individually, to design national cyber defense systems that are efficient and customized to serve specific needs and requirements. The designed AI cybersecurity system will not only be able to keep a constant check on all the activities of the network but fortify and heal itself as well. Cloud AI can incorporate the national cyber defense systems with inbuilt redundancies for effective performance.
Furthermore, the data analytics, predictive analytics, data correlation, projection, cyber situation awareness, pattern recognition, risk management, and decision-support capabilities of cloud AI all play a huge role in strengthening and enhancing the potential of national cyber defense systems. Enabling self-configuring networks, all the cybersecurity defense processes from detecting the vulnerability to retaliating with a proper response to self patching can be carried out without the need for human intervention. Such levels of network resilience require high levels of agility that only machines capable of deep learning can perform at the very initial stages of the attacks.
Cloud AI introduces new, modern, and innovative approaches to cybersecurity architectures and national cyber defense systems engineering through Intent-Based Network Security (IBNS). They not only make computer networks immune but self-adapting to improve their efficiency and performance as well. Their communication and collaboration offerings will get better for improved cyber defense operations. The importance of such systems cannot be undermined as cyberattacks quickly are becoming more sophisticated and complex as well with the help of AI-enabled mechanisms.
Frequently Asked Questions
A Microservice is the breaking up of traditionally tightly coupled application components into small specialized services that communicate through HTTPS REST and HTTPS API interfaces.
Since Microservices are small specialized services, they can be quickly and efficiently rearranged to accommodate future capabilities unknown at the present time.
Microservices are independent and modular which allows for significant flexibility in communications patterns and often prevent cascading failure.
DevOps is the combination of development and operations into a single function of software development and infrastructure management. The main priority of DevOps is the reduction of barriers to speed of delivery.
DevSecOps empowers everyone in the development process using a security focused tool set to address timely security decisions at speed and scale of each development stage. The main priority of DevSecOps is risk reduction through DevOps security accountability and governance.
Security automation in DevSecOps increases speed of code releases while reducing the risk using static application security testing (SAST), dynamic application security testing (DAST), and code dependency checking.
High business value is realized from quick and efficient response to market opportunities and challenges, optimization for innovation, and reduction of technical debt all lead to superior competitive advantage.
CCT is pleased to discuss your requirements and present a proposal for your review and consideration. Call us today at 1-800-804-9726 x105.
How CCT Can Help
Cloud Computing Technologies render national cyber defense systems completely secure and protected by integrating them with cloud AI capabilities. Through continual monitoring of your systems and network and autonomous detection of any unauthorized activity, you can have peace of mind that each of your processes, systems, and operations are safe and sound. Our algorithms and AI capabilities can offer you a cybersecurity cloud environment that is highly agile in responding and efficient at remediating.
To acquire these benefits and make your national cyber defense systems equipped with real-time and constant monitoring and self-patching capabilities, contact CCT today. We will evaluate and analyze your specific and unique needs to craft a tailor-made strategy for all your cybersecurity needs. Cloud Computing Technology has a number of successful government-level projects under its portfolio.
Conclusion for Cloud AI Coordinated National Cyber Defense Systems
Digital information is constantly expanding, making it more difficult to manage and organize it, much alone distinguishing between what is significant and what is not. In response to this problem, national cyber defense authorities need to put their trust in reliable and experienced technology companies, like CCT, that take “data analytics” to the next evolutionary level leveraging artificial intelligence (AI) to overcome the limitations of traditional national cyber defense systems. It also serves as an effective tool for improving malware detection rates by leveraging cyber intelligence data as a baseline. Artificial intelligence cybersecurity systems can also learn from compromise indicators and are able to identify the features of even the smallest of clues regardless of if they are distributed all over the network.
What clients say about Cloud Computing Technologies
★★★★★ 5/5
"CCT's diverse skills and expertise has reduced our technical debt by millions of dollars to which we have reinvested into future capabilities."
Mrs. Hanson
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"With CCT migrating our critical systems into the AWS, 80% our staff is now remote working."
Mrs. Miller
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"CCT showed us how to meeting regulatory compliance in AWS Landing Zone and greatly improved our cloud security controls."
Mrs. Wilson
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"CCT provided our agency with application rationalization services and successfuly applicaton migrations meeting all KPIs and SLAs."
Federal Agency
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"I highly recommend the data science team at CCT. They are technically proficient, great communicators, unbiased, and reduced our false positives by 68%."
Mr. Brown
★★★★★ 5/5
"The team at CCT is knowledgable and insightful in developing a cloud architecture leading to our mission success."
Mr. Robinson
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