AI & Emerging Technologies

AI Policy & Governance

We help organisations build and implement robust policies that govern the ethical, compliant, and secure use of artificial intelligence. This includes frameworks for acceptable use, risk management, transparency, and accountability across AI deployments—ensuring alignment with global regulations and stakeholder expectations.

AI Threat Tooling

Our AI threat detection capabilities include the development and deployment of bespoke tools that identify adversarial AI activity. These tools detect anomalies in model behaviour, identify suspicious AI-generated content, and help validate data integrity across training and inference environments.

Behavioural Model Security

We assess and secure machine learning models against threats such as data poisoning, model inversion, evasion attacks, and algorithmic bias. This includes stress-testing AI models, applying adversarial techniques, and implementing controls for explainability, fairness, and robustness.

ICS/SCADA/OT Security

With the convergence of AI and operational technology (OT), the attack surface in industries like manufacturing, energy, and transportation is expanding. We offer tailored security programs for industrial control systems (ICS), SCADA environments, and smart factories—ensuring AI-powered automation does not compromise safety or uptime.

Quantum-Resistant Cryptography

Quantum computing will render many current encryption methods obsolete. We help you assess cryptographic vulnerabilities and prepare a strategic roadmap to transition to quantum-safe algorithms—protecting data confidentiality and compliance into the future.

• Your organisation is deploying AI in high-risk environments (e.g., finance, healthcare, national infrastructure).

• You want to safeguard ML models from manipulation or bias.

• You're seeking AI governance for regulatory alignment or certification.

• You're planning long-term data security investments against future quantum threats.

• Your OT/ICS environments are integrating AI or machine learning features.

Our services are grounded in global standards such as the NIST AI Risk Management Framework, ISO/IEC 42001, and MITRE ATLAS. We begin with a discovery phase to understand your use of AI and emerging technologies, followed by a risk and maturity assessment. Based on this, we co-develop tailored governance structures, build or integrate threat monitoring tools, and apply red-teaming methodologies where appropriate. For OT and quantum, we conduct threat modelling, simulate real-world scenarios, and build actionable roadmaps for remediation and future-proofing.

• EU AI Act – Compliance guidance for high-risk AI systems.

• NIST AI RMF – Framework-based risk governance.

• ISO/IEC 42001 – AI Management Systems design and implementation.

• IEC 62443 – OT/ICS cybersecurity standards.

• NIST PQC Guidelines – Preparation for post-quantum encryption algorithms.

• AI Governance Framework Document – Policies, roles, and procedures.

• Threat Modelling Report – Risk analysis across the AI lifecycle.

• Secure ML Pipeline Blueprint – Best practices for secure data ingestion, training, and deployment.

• Quantum-Readiness Assessment – Roadmap and migration plan for cryptographic agility.

• ICS/SCADA Security Report – Asset inventory, threat surface, and controls mapping.

We use a combination of proprietary tools, open-source frameworks, and industry-leading platforms:

• Microsoft Azure AI Governance Toolkit

• IBM Watson OpenScale for explainability and fairness auditing

• MITRE ATLAS & Caldera for AI-specific adversarial simulation

• Dragos, Claroty, Nozomi for OT threat detection

• QKD and PQC readiness tools from NIST libraries and commercial vendors

To ensure a smooth engagement, we ask that clients:

• Share documentation on existing AI models and their usage.

• Provide access to data pipelines, training sets, and ML environments.

• Facilitate engagement with business and technical stakeholders.

• Identify target environments or business processes where AI/OT/Quantum are being deployed or evaluated.

• AI Governance Framework: 3–4 weeks

• Secure ML Assessment: 2–3 weeks

• Quantum Cryptography Readiness: 2 weeks

• OT/ICS Security Engagement: 4–6 weeks (depending on number of assets)

Milestones:

1. Discovery & Scoping Workshop

2. Initial Risk & Maturity Assessment

3. Draft Frameworks or Reports

4. Stakeholder Review & Feedback

5. Final Deliverables & Implementation Roadmap

• Black-box AI Decisions: We mitigate this with explainability tools and model interpretability layers.

• Bias in Models: Bias audits and fairness assessments are conducted before deployment.

• Quantum Attack Readiness Gaps: We identify vulnerable cryptographic assets early and build phased migration plans.

• OT Downtime from AI Integration: Simulated deployments and sandboxed evaluations help validate changes safely.

Q: Is AI security only relevant to data scientists or IT teams?
No — it affects governance, legal, compliance, and operations. A cross-functional approach is essential.

Q: Do I need to worry about quantum threats now?
Yes, especially if you handle long-life data or intellectual property. Data encrypted today could be harvested and decrypted in the future.

Q: How do we know if our AI is compliant?
We benchmark your use of AI against global regulations and emerging best practices to determine readiness and risks.

Pricing Models

• Fixed-Price Packages:

  • AI Governance Framework: from £6,500

  • ICS Security Assessment: from £9,000

  • Quantum Cryptography Readiness: from £4,000

• Ongoing Support:

  • AI Risk-as-a-Service monthly advisory packages

  • Retainer models for model auditing and governance updates

• Hourly Consulting: For highly customized or urgent requests (£180–£300/hour)