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Quantum AI and Cybersecurity

Published by Pearson

Intermediate to advanced content levelIntermediate to advanced

Master Quantum AI and Cybersecurity to safeguard your organization against emerging threats with expert insights and actionable strategies

  • Understand the evolving landscape of quantum computing and AI and their implications for digital identity management and cybersecurity in the post-quantum era.
  • Explore the latest quantum-safe cryptographic tools and AI-driven techniques for securing digital identities, including hands-on experience with lattice-based cryptography, zero-knowledge proofs (ZKPs), and blockchain oracles.
  • Learn to apply quantum-resistant cryptography and AI models (GANs and VAEs) to real-world identity verification systems, enabling protection against quantum and AI-driven threats.
  • Integrate theoretical knowledge and practical applications to build secure, decentralized identity management systems using blockchain and post-quantum cryptography.

This course offers professionals an in-depth understanding of the risks associated with the integration of quantum technologies and AI, with a focus on their implications for digital identity management, cybersecurity, and data protection. Through practical case studies and hands-on sessions, participants will learn how to incorporate quantum-safe AI techniques and frameworks into their organization's security strategy. Engaging with quantum and AI technologies without a deep understanding of their implications can leave your organization vulnerable. This course provides the latest insights and practical strategies to safeguard against future quantum threats.

What you’ll learn and how you can apply it

  • Acquire and apply knowledge on using AI-driven identity management systems and quantum-safe cryptographic techniques to secure digital identities.
  • Understand and navigate the latest advancements in quantum-safe AI to stay ahead of rapidly evolving threats to digital identity and cybersecurity.
  • Gain hands-on experience with industry-standard platforms for decentralized identity management, including Hyperledger Fabric, CRYSTALS-Dilithium, SPHINCS+, and AI-based security protocols to bolster your ability to protect against quantum threats.

This live event is for you because...

  • You are an experienced professional in cybersecurity, blockchain development, AI, or data science looking to secure digital identities using the latest quantum-resistant techniques and AI-driven tools.
  • You're new to quantum-safe cryptography or seeking to deepen your understanding of AI-powered identity management, looking for the hands-on experience needed to tackle the challenges posed by quantum computing.

Prerequisites

  • Basic knowledge of cryptography and traditional encryption methods will be helpful.
  • Familiarity with blockchain technologies and cybersecurity concepts.
  • A foundational understanding of identity management systems, cryptographic protocols, and AI will be beneficial.
  • Curiosity and willingness to learn. A strong interest in the rapidly growing field of quantum computing and AI-driven security is essential, along with the ability to think critically about their implications on global security.

Course Set-up

  • You can follow along during the presentation using any modern browser (Chrome, Firefox, Edge). The hands-on elements require access to a desktop environment compatible with quantum-safe tools (Linux, Windows).

Recommended Preparation

Recommended Follow-up

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction to Quantum Computing (15 min)

  • Basics of quantum mechanics and quantum computing principle
  • Differences between classical and quantum computing
  • Overview of AI and how quantum computing enhances AI capabilities
  • Quantum algorithms for machine learning and data analysis (e.g., Quantum Neural Networks)
  • Applications of Quantum AI in cybersecurity
  • Understanding how quantum computing could break current cryptographic methods (e.g., RSA and ECC)
  • Post-quantum cryptography: Developing quantum-resistant algorithms and solutions
  • How Quantum AI can be used for advanced threat detection and response

Implementing Quantum-Resistant Security Solutions (40 min)

  • Best practices for quantum-resistant cryptography
  • NIST post-quantum cryptography standards
  • Securing digital identities with quantum-safe methods

Break (5 minutes)

Quantum-Safe AI in Cybersecurity Applications (50 min)

  • AI-driven systems for decentralised identity security
  • Case studies: Reinforcement learning for identity verification
  • Hands-on: Reinforcement learning and AI agents for identity security

Q&A (5 minutes)

Break (5 minutes)

Practical Implementation: Blockchain and Quantum-Resistant Frameworks (50 min)

  • Decentralisation and blockchain for digital identity protection
  • Hands-on: Quantum-safe blockchain systems

Q&A (5 minutes)

Break (5 minutes)

Future-Proofing Identity Systems with AI and Quantum Security (45 min)

  • Future threats from AGI and quantum computers
  • Strategies for scaling quantum-safe identity systems
  • Hands-on: Optimising AI-driven security protocols

Closing & Final Q&A (15 minutes)

Your Instructor

Dr. Petar Radanliev

Dr. Petar Radanliev lectures and supervises postgraduate master’s students’ research dissertations on AI and cybersecurity at the Department of Computer Science, University of Oxford. He is also a Lecturer/Instructor at Pearson and O’Reilly (USA), while conducting research on digital identity system security at the Alan Turing Institute, based at the British Library in London. After completing his PhD in 2013/14, Petar held postdoctoral research appointments at Imperial College London, the University of Cambridge, the Massachusetts Institute of Technology, and the Department of Engineering Science at the University of Oxford, where he remained for seven years before moving to his current position. His work spans artificial intelligence, cybersecurity, post-quantum security, and blockchain security. This research has led to an H-index of 25 (as indexed by Web of Science and Scopus), over 3,700 citations, more than 100 peer-reviewed publications, and four authored books. In recognition of his contributions, Petar has received major funding awards, including a Fulbright Fellowship and the Prince of Wales Innovation Award.

Skill covered

Artificial Intelligence (AI)