Post-Quantum Security for AI: Resilient Digital Security in the Age of Artificial General Intelligence and Technological Singularity by Pearson

Course details

As artificial general intelligence (AGI) and quantum computing rapidly reshape the digital landscape, today’s security practices are no longer enough. This course demystifies both technologies in plain, accessible language and shows how they intersect to create new vulnerabilities—and new opportunities—for protection. Through hands-on examples, real-world scenarios, and expert-led instruction, discover how to build resilient, quantum-safe systems and safeguard digital identities, data, and infrastructure from emerging high-impact threats.

Learning objectives
Identify and evaluate security risks introduced by AGI and quantum computing.
Apply postquantum cryptographic techniques, including lattice-based methods.
Use blockchain, zero-knowledge proofs, and decentralized identity models for resilient protection.
Develop strategies to defend systems from intelligent, adaptive, AI-driven exploits.

Concepts

Introduction

Welcome to the course

The Path to Technological Singularity

Module introduction
Learning objectives
Historical background and conceptual foundations
Current research trajectories and indicators
Security implications of accelerated AI development

Quantum Computing and the Security Horizon

Learning objectives
Fundamentals of quantum speed-up and cryptographic risks
Timelines and global quantum research road maps
Early warning signs for cryptographic obsolescence

Strength and Fragility of Current Security Architectures

Module introduction
Learning objectives
Evaluation of digital security system efficacy
Systemic risks and domino-effect failures
Interconnected infrastructure vulnerabilities

Artificial General Intelligence (AGI) in Cybersecurity

Learning objectives
Potential for AI-enhanced defensive capabilities
Emerging risks of AGI-driven offensive operations
Balancing opportunity and existential risk

Post-Quantum Cryptography and NIST Standards

Module introduction
Learning objectives
Why existing cryptography fails under quantum attack
Overview of NIST PQC standards - Kyber, Dilithium, Falcon, and SPHINCS+
Global adoption and compliance strategies

Implementing Quantum-Safe Cryptographic Solutions

Learning objectives
Migration strategies and hybrid deployments
Performance and implementation considerations
Risk assessments, audits, and regulatory alignment

AI-Driven Defense and Threat Mitigation

Module introduction
Learning objectives
Reliability and limitations of AI-driven cybersecurity
Case studies of AI-enabled defense mechanisms
Future trends in automated security orchestration

Protecting Digital Identity (after AGI)

Learning objectives
Quantum-safe digital identity frameworks
AI in decentralized identity and authentication
Reinforcement learning and AI agents for identity protection

Building Future-Proof Security Architectures

Module introduction
Learning objectives
Designing systems resilient to quantum attacks
Anticipating AGI-level adversarial strategies
Standards, policy, and governance readiness

Preventing a Runaway Technological Singularity

Learning objectives
Ethical and existential risks of uncontrolled AGI
Proactive countermeasures and policy frameworks
Global coordination and long-term resilience

Conclusion

Summary and next steps