Cybersecurity is a primary concern today and is evolving in the face of digital contactless payment systems, accelerated business transformation, new multi-channel experiences, and people working from home as a result of the COVID-19 pandemic. New security threats are emerging and organizations are looking to technologies like quantum computing and machine learning (ML) to keep ahead of the new threat landscape.

Digital businesses are using cybersecurity as an important enabler of customer experiences, risk management, supply chain orchestration, and product value proposition. For example, cybersecurity can be designed into seamless, secure customer interaction processes, IoT products, and end-to-end digital value chains. 

Skyrocket Your AWS Career: Earn Top Salaries!

Cloud Operations on AWSENROLL NOW
Skyrocket Your AWS Career: Earn Top Salaries!

Quantum compute and ML present the possibility of groundbreaking progress in the cybersecurity space. They can offer more robust opportunities to protect crucial and sensitive data, and can be leveraged to improve existing cybersecurity strategies. 

Quantum Computing: Applications and Use Cases 

As the world becomes increasingly connected and automated and digital infrastructures and ecosystems advance, cybersecurity is a growing need and corresponding challenge.

ML is already reshaping cybersecurity across industries, including healthcare, supply chain, financial services, entertainment and media, manufacturing, and ecommerce. When deployed via an intelligent platform—for example—ML enables organizations to better analyze threats, respond quickly to security issues, leverage automated threat detection, identify potential data breaches, and maintain pace with constantly evolving risks. 

As a new disruptive technology, quantum compute can reduce computer processing down to mere minutes, and has the ability to solve problems that have previously been unsolvable using existing computing technologies. Also, it might accelerate ML and improve its effectiveness for cybersecurity, such as hastening the classification process for massive quantities of data.

Some emerging use cases for quantum computing and machine learning in cybersecurity include:

  • Quantum metrology: Quantum measurements involve highly accurate manipulation of particles to identify subtle changes in information. Quantum metrology could enable new types of radars, cameras, and other systems, which when applied in defense and national security use cases, might offer better ways to detect things like stealth aircrafts via quantum radar, or underground facilities via quantum gravimetry. It can also provide new types of location detection that does not depend on GPS signals—which can be easily tampered with.
  • Cryptography: An essential aspect of cryptography is random number generation. To break it down: pseudo random number generators (PRNGs) and true random number generators (TRNGs). Quantum technology number generators (QRNGs) can be regarded as a specialized instance of TRNGs, whereby the data is the product of quantum events. But QRNGs, unlike classical TRNGs, denote actual random numbers via the exploitation of the randomness in quantum physics. A random number generator offers robust security because the generated number is impossible to predict.
  • Skyrocket Your AWS Career: Earn Top Salaries!

    Cloud Operations on AWSENROLL NOW
    Skyrocket Your AWS Career: Earn Top Salaries!
  • Quantum-secure communications: Quantum principles are used in quantum communications to build new types of systems, and new means for securing critical infrastructure. A highly developed approach for this is quantum key distribution (QKD), which utilizes reduced laser pulses to share a traditional encryption key between users. QKD could be used to secure sensitive government communications, and later on may revolve around the development of quantum computer networks.
  • Quantum machine learning (QML): The expense of training deep models is increasing alongside growing data volumes and complexity. QML might drive quicker, more energy, cost, and time efficient ML algorithms that could generate highly effective algorithms for detecting and resolving novel cyberattack techniques. 

Find the Right AWS Course

Simplilearn's AWS courses offer a comprehensive pathway for professionals aiming to master Amazon Web Services and enhance their career prospects in cloud computing. Whether you are a beginner looking to understand the basics or an experienced professional seeking advanced skills, Simplilearn's expert-led training provides in-depth knowledge and hands-on experience with AWS's core services and solutions. Our courses are designed to align with industry standards and prepare you for AWS certification exams, ensuring you have the credentials and expertise that employers value. Elevate your cloud computing capabilities with Simplilearn’s AWS courses and gain the competitive edge needed to thrive in today’s tech-driven world.

Course Name Skills You'll Learn Explore Program
AWS Solutions Architect
  • Master IAM, VPC, EC2, EBS
  • 16 live demos
Enroll Now
AWS Cloud Practitioner Essentials
  • Master AWS Cloud Adoption Framework
  • Learn AWS pricing models and support
Enroll Now
Architecting on AWS
  • Access to AWS Skill Builder labs
  • Official AWS live class training content
Enroll Now
AWS Technical Essentials
  • Learn AWS Compute, AWS Storage Monitoring and Optimization
  • AWS Networking
Enroll Now
Microsoft Certified: Azure Administrator Associate AZ-104
  • Administer Azure AD users and groups
  • Build and configure an Azure App Service
Enroll Now
Advanced Architecting on AWS
  • Master best practices for security, networking, serverless architecture, and cost optimization
Enroll Now
Aws Devops Certification
  • Master CI CD Pipelines, Contenrization & More
  • Infrastructure Design and Implementation
Enroll Now
Cloud Operations on AWS
  • Learn CloudOps lifecycle processes
  • Live online training from AWS-authorized instructors
Enroll Now
Microsoft Certified DevOps Engineer Expert AZ-400
  • Design and implement build and release pipelines
  • Azure exam voucher included
Enroll Now
Microsoft Certified Azure Developer Associate: AZ-204
  • Practice labs and projects with integrated Azure labs
  • Official course completion badge
Enroll Now

Balancing Benefits Against Potential Risks of Quantum Computing

The other side of this coin is the possible security risk of quantum computing. It’s powerful computing capabilities could be leveraged for malicious intent to break into public encryption standards widely relied on by almost all devices, enterprises, encryption services, and the broader digital economy, which is deeply concerning for both government entities and businesses

While the majority of businesses won’t be able to procure consequential value from this technology for at least a decade, some will grasp some gains over the next five years. Further exploration into governance and policy protocols, quantum literacy, and quantum-resistant cryptography may be helpful in addressing the potential risks. But though quantum computing might render certain encryption protocols defunct, it also represents the potential to drive a markedly improved degree of privacy and security.

Analysts and researchers have been making efforts to develop quantum-safe encryption, and new techniques like post-quantum cryptography. As quantum computing provides a likely solution for encryption and cybersecurity threats, forward-thinking organizations should begin to deepen their understanding of crypto agility

Build your network security skill-set and beat hackers at their own game with the Certified Ethical Hacking Course. Check out the course preview now!

Planning for the Cybersecurity Revolution

The quantum computing and ML-propelled implications for cybersecurity are incumbent. Organizations and data science professionals must begin to engage in the short and long term roadmap of strategy development in this domain for both risks and benefits. 

Professionals who want to get started on — or stay on top of — this remarkable field and the latest technology breakthroughs should check out Simplilearn’s online bootcamps in Cyber Security, AI and Machine Learning, and Data Science & Business Analytics, and more.

Our Cloud Computing Courses Duration and Fees

Cloud Computing Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Post Graduate Program in Cloud Computing

Cohort Starts: 31 Jul, 2024

8 Months$ 4,500
AWS Cloud Architect11 Months$ 1,299
Cloud Architect11 Months$ 1,449
Microsoft Azure Cloud Architect11 Months$ 1,499
Azure DevOps Solutions Expert6 Months$ 1,649

Learn from Industry Experts with free Masterclasses

  • All You Wanted to Know About AWS Certifications but Didn't Know Whom to Ask

    Cloud Computing

    All You Wanted to Know About AWS Certifications but Didn't Know Whom to Ask

    2nd Nov, Thursday11:00 PM IST
  • AWS Solution Architech Demo Session

    Cloud Computing

    AWS Solution Architech Demo Session

    15th Nov, Tuesday7:30 AM CST
  • AWS Solution Architech Demo Session

    Cloud Computing

    AWS Solution Architech Demo Session

    18th Oct, Tuesday7:30 AM CDT
prevNext