QTech Cyber bridges the gap between where your security is today and where it needs to be in an AI-driven world. Expert consultancy, AI readiness assessments, and advanced penetration testing — all on the journey to an autonomous AI SOC.
Most organisations are running security operations designed for a pre-AI world. We guide you through a structured transformation — from reactive, manual MSP-style security to an intelligent, autonomous AI-powered Security Operations Centre.
Reactive, ticket-heavy operations built for a pre-AI world — unable to keep pace with the speed and sophistication of modern threats.
The structured path from where you are to where you need to be — delivered by specialists who understand both the technical and business dimensions of AI security.
The destination we're building toward — an autonomous, intelligent security operations platform that detects, responds, and adapts faster than any human team could alone.
A complete portfolio of consultancy, technical, and managed services — each one a step forward on the path from traditional security to AI-powered operations.
Comprehensive baseline assessment of your AI security posture — shadow AI discovery, data exposure analysis, model risk profiling, and a proprietary AI Risk Score with a prioritised 90-day remediation roadmap.
Strategic advisory guiding your organisation through the full transformation journey — governance frameworks, security architecture redesign, board-level risk reporting, and change management support.
A dedicated virtual CISO who bridges AI adoption and security strategy — aligning your AI roadmap with risk frameworks, regulatory obligations, and board expectations without the full-time overhead.
Advanced offensive security testing purpose-built for AI environments — LLM prompt injection, model inversion, adversarial input testing, API security, and Kubernetes workload assessments to validate your AI readiness.
Close your compliance gaps across Essential 8, ISO 27001, NIST AI RMF, and the EU AI Act — with automated tracking dashboards and audit-ready evidence packages.
The future AI SOC platform — continuous 24/7 monitoring of AI pipelines, autonomous threat detection, real-time compliance automation, and predictive risk intelligence. Built on everything we deliver today.
Your AI transformation begins with understanding where you stand. Our structured assessment covers every dimension of AI security risk — and produces a clear, actionable path to becoming AI-ready.
Catalogue every AI tool, model, and service — including unsanctioned tools employees are using without IT visibility.
Identify what sensitive data is flowing into AI models and APIs — and map where prompt injection, leakage, or exfiltration vectors exist.
Review AI service accounts, API keys, human access, and governance policies across your entire AI and cloud environment.
Assess whether your cloud and Kubernetes infrastructure can safely host and scale AI workloads without compounding your attack surface.
Active offensive testing of your AI surfaces — LLM endpoints, APIs, and containerised workloads — to validate controls with real-world attack simulation.
Map current posture to Essential 8, ISO 27001, NIST AI RMF, and EU AI Act. Identify gaps before regulators or adversaries do.
Modern penetration testing goes beyond network scans and web app assessments. We test the attack surfaces that matter most in AI-adopting organisations — LLM endpoints, AI pipelines, containerised workloads, and the identity layer connecting them all.
Define AI-specific attack surface, rules of engagement, and realistic threat actors relevant to your sector.
Enumerate LLM endpoints, model APIs, training pipelines, shadow AI tools, and exposed model infrastructure.
Prompt injection, model inversion, adversarial inputs, API abuse, container escape, and lateral movement testing.
Demonstrate real business impact — data exfiltration, privilege escalation, AI pipeline compromise, and compliance breaches.
Detailed findings with CVSS scoring, fix guidance prioritised by AI readiness impact, and re-test verification.
| Capability | Traditional Pen Test | QTech Cyber AI-Aware Testing |
|---|---|---|
| LLM & Prompt Injection Testing | ✗ Not covered | ✓ Full coverage |
| Shadow AI Discovery | ✗ Out of scope | ✓ Included by default |
| Kubernetes & Container Security | ✗ Optional add-on | ✓ Core methodology |
| AI Model Integrity Testing | ✗ Not available | ✓ Adversarial inputs, inversion |
| Compliance Mapping (NIST AI RMF) | ✗ Not mapped | ✓ Every finding mapped |
| Transformation Roadmap Integration | ✗ Report only | ✓ Feeds directly into roadmap |
| AI SOC Readiness Scoring | ✗ Not applicable | ✓ Proprietary readiness score |
Traditional frameworks weren't designed with AI in mind. We extend and map your compliance posture to cover AI workloads, LLM pipelines, and cloud-native architecture — so you stay ahead of regulators, not behind them.
QTech Cyber's AI readiness assessment uncovered 14 shadow AI tools our team was using — three were sending client data to offshore LLM APIs. That single finding justified the entire engagement cost many times over.
Their penetration test found a prompt injection vulnerability in our internal AI assistant that would have given attackers access to our entire document store. No traditional pen tester would have looked there.
The AI Risk Score gave our board the language to understand our exposure alongside our AI investment case. QTech Cyber changed how we talk about security at the executive level — from technical to strategic.
Stay Ahead, Stay Secure
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