Workshops Defence Advanced AI Penetration Testing
Defence Deep Dive Session

Advanced AI Penetration Testing

This workshop examines how quantum computing changes the offensive and defensive calculus for AI systems deployed in defence environments.

Half day (4 hours)
In person or online
Max 30 delegates

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Global Quantum Intelligence
Qrypto Cyber
Eclypses
Arqit
QuantBond
Krown
Applied Quantum
Quantum Bitcoin
Venari Security
QuStream
BHO Legal
Census
QSP
IONQ - ID Quantique
Patero
Entopya
Belden
Atlant3D
Zenith Studio
Qudef
Aries Partners
GQI
Upperside Conferences
Austrade
Arrise Innovations
CyberRST
Triarii Research
QSysteme
WizzWang
DeepTech DAO
Xyberteq
Viavi
Entrust
Qsentinel
Nokia
Gopher Security
Quside
QIZ
Global Quantum Intelligence

Workshop Description

For red team leads and AI security architects. Covers quantum-accelerated attack vectors against defence AI systems, adversarial machine learning under quantum threat, and defensive hardening frameworks for ML inference pipelines.

Defence AI systems face a dual threat. Classical adversarial attacks (model poisoning, evasion, extraction) are already well-documented in the MITRE ATLAS framework. Quantum computing introduces a second dimension: Grover's algorithm provides a quadratic speedup for brute-force attacks on model parameters and API keys, the HHL algorithm enables new approaches to adversarial example generation, and quantum sampling techniques could accelerate black-box model extraction. The practical question is which of these quantum-enhanced attacks reach operational relevance first, and what that means for the red team playbook. This workshop maps the intersection, separates genuine near-term threats from speculative ones, and provides a defensive framework grounded in PQC standards (FIPS 203/204/205) for hardening AI infrastructure.

What participants cover

  • Quantum-accelerated attack taxonomy: which classical pen testing techniques gain meaningful speedup from quantum algorithms and which do not
  • Adversarial ML under quantum threat: how Grover search, quantum sampling, and HHL affect poisoning, evasion, and extraction attacks
  • Side-channel vulnerabilities: quantum-enhanced timing and power analysis attacks against ML inference hardware
  • Defensive hardening: PQC integration for model serving (TLS 1.3 with ML-KEM, ML-DSA model signing, quantum-resistant API authentication)
  • MITRE ATLAS quantum extensions: mapping quantum-specific threats onto the existing adversarial ML taxonomy
  • Red team planning: how to incorporate quantum-era scenarios into adversary emulation exercises today

Preliminary Agenda

Deep Dive Session structure with scheduled breaks. Content is configurable to your organisation's AI deployment stack, threat model, and red team maturity.

# Session Topics
1 Quantum-Era Threat Landscape for AI Systems How quantum computing changes the adversarial calculus
2 Quantum-Accelerated Attack Vectors Where quantum algorithms intersect with offensive AI
  • Grover-accelerated brute-force attacks on model parameters and API keys
  • Quantum sampling for adversarial example generation (Harrow-Hassidim-Lloyd algorithm)
  • Quantum-enhanced side-channel attacks against ML inference pipelines
Break, after 50 min
3 Adversarial Machine Learning in a Quantum Context Model poisoning, evasion, and extraction under quantum threat
  • Data poisoning resilience: how quantum search affects backdoor injection detection
  • Evasion attacks: quantum-generated adversarial perturbations versus classical FGSM/PGD
  • Model extraction: quantum speedups for gradient-free black-box attacks
4 Interactive Demonstration Quantum-enhanced red team simulation
  • Facilitator-led demonstration of quantum-accelerated password and key recovery
  • Adversarial example generation pipeline: classical versus quantum-enhanced comparison
  • Interpreting results and assessing real-world impact on deployed defence AI systems
Break, after 45 min
5 Defensive Frameworks for Quantum-Era AI Systems Hardening AI deployments against quantum-capable adversaries
  • PQC integration for ML model serving infrastructure (TLS, API authentication, model signing)
  • Quantum-resistant model watermarking and integrity verification
  • MITRE ATLAS framework mapping: quantum threat additions to adversarial ML taxonomy
6 Q&A and Red Team Planning

Designed and Delivered By

Workshops are designed and delivered by QSECDEF in collaboration with sector specialists. All facilitators have direct experience in both quantum technologies and defence systems.

QD

Quantum Security Defence

Workshop design and delivery

QSECDEF brings world-leading expertise in post-quantum cryptography, quantum computing strategy, and defence-grade security assessment. Our advisory membership spans 600+ organisations and 1,200+ professionals working at the intersection of quantum technologies and critical infrastructure security.

DE

Defence Sector Partners

Domain expertise and operational validation

Defence workshops are co-delivered with sector specialists who bring direct operational experience in defence organisations. This ensures workshop content is grounded in regulatory, operational, and technical realities specific to the sector.

Commission This Workshop

Sessions are configured around your organisation's AI deployment stack, threat model, red team maturity, and classification requirements. Get in touch to discuss requirements and schedule a date.

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