AI Security Is Different
Traditional security tools don't understand prompt injection, jailbreak techniques, or agentic attack chains. According to recent industry research, 73% of organizations deploying LLMs have at least one critical vulnerability in their AI implementation. Your AI systems need specialist assessment.
Are your AI agents leaking data through tool calls?
Is your team using unsanctioned AI tools?
Do you meet EU AI Act compliance requirements?
What We Assess
Four specialized assessments to give you complete visibility into your AI security posture.
AI Penetration Testing
Specialist testing of AI systems, LLM integrations, and agentic workflows using a multi-framework methodology.
- OWASP LLM Top 10 verification
- NIST AI RMF control mapping
- Prompt injection and jailbreak testing
- Tool-use and MCP server abuse vectors
- Data exfiltration via AI agents
- Insecure output handling verification
- Agentic workflow attack chain analysis
Shadow AI Discovery
Organization-wide scan for unsanctioned AI tool usage and data flow mapping.
- Organization-wide scan for unsanctioned AI tools
- SaaS and browser extension AI inventory
- Data flow mapping (what's leaving via AI)
- Risk scoring per discovered tool
AI Risk Classification
Map AI systems to EU AI Act risk tiers and identify compliance requirements.
- Map AI systems to EU AI Act risk tiers
- Identify systems requiring conformity assessments
- Gap analysis against Article 9 risk management
AI Maturity Assessment (AIMA)
Baseline maturity score across Strategy, Design, Implementation, Operations, and Governance.
- Baseline maturity score across 5 domains
- Benchmarking against industry peers
- Prioritized improvement roadmap
What Sets This Apart
Field observations from testing AI systems in production.
Automated Scanners Miss Business Logic
Generic AI security scanners flag prompt injection but miss the real attack: when legitimate AI features are chained together to extract data or bypass approval workflows. We test the business logic of your AI implementation, not just the model endpoints.
Shadow AI Beats Shadow IT
Shadow IT was a procurement problem. Shadow AI is a data exfiltration crisis. Employees paste proprietary code, customer lists, and strategic documents into public AI tools. According to a 2025 Gartner study, 68% of organizations have unsanctioned AI tool usage they're unaware of. We find it.
What You Get
A full picture of your AI risk posture in 4-6 weeks.
AI/LLM Penetration Test Report
Technical findings report covering OWASP LLM Top 10 vulnerabilities, proof-of-concept evidence, and developer-level remediation steps.
Shadow AI Discovery Report
Inventory of unsanctioned AI tools in use across your organization, with data flow mapping and risk scoring per tool.
EU AI Act Risk Classification
Mapping of your AI systems to EU AI Act risk tiers with identification of conformity assessment requirements under Articles 9-15.
OWASP AIMA Maturity Assessment
Baseline maturity score across Strategy, Design, Implementation, Operations, and Governance domains with industry benchmarking.
Remediation Roadmap
Prioritized action plan addressing security findings, compliance gaps, and maturity improvements with effort and impact ratings.
Engagement Timeline
Typical engagement: 4-6 weeks from kickoff to final report delivery.
Frequently Asked Questions
We don't build AI - do we need an AI Security Assessment?
If your employees use tools like ChatGPT, Microsoft Copilot, or Gemini for work tasks, you already have AI risk. The most common risks are not about AI systems you build - they are about data leaking through prompts (employees pasting customer data or source code into public AI interfaces), AI-generated code introducing vulnerabilities, and the absence of any policy defining what is safe to share. An AI Security Assessment covers these exposure points whether you are an AI company or not.
How do you test for vulnerabilities?
We use a multi-framework methodology that incorporates the OWASP LLM Top 10, NIST AI RMF, and adversarial testing patterns. We identify critical risks including prompt injection, insecure output handling, training data poisoning, and agentic workflow vulnerabilities. We follow the latest research to ensure coverage of emerging attack vectors.
How is shadow AI different from shadow IT?
Shadow AI is often more dangerous than shadow IT because it involves data exfiltration at scale. When employees use unsanctioned AI tools like public ChatGPT instances, they're not just installing unauthorized software - they're uploading proprietary data, customer information, and intellectual property to third-party systems. Unlike traditional shadow IT, these tools actively ingest and may retain sensitive data for training purposes.
What is the EU AI Act risk classification?
The EU AI Act categorizes AI systems into four risk tiers: Unacceptable (banned), High (strict requirements), Limited (transparency obligations), and Minimal (no specific requirements). We map your AI systems to these tiers and identify which systems require conformity assessments, documentation, and ongoing monitoring under Articles 9-15 of the regulation.
What is an AI Maturity Assessment?
Our maturity assessment is based on the AIMA (AI Maturity Assessment) framework, integrated with ISO 42001 and EU AI Act requirements. We measure your organizational maturity across five domains: Strategy, Design, Implementation, Operations, and Governance. You receive a baseline maturity score, benchmarking against industry levels, and a prioritized improvement roadmap.
Why D3 Cyber?
Real-World Attack Patterns
Automated AI scanners miss business logic flaws. We test like attackers think - abusing legitimate AI features to extract data or bypass controls.
Multi-Framework Methodology
We specialize in international AI security frameworks: EU AI Act, ISO 42001, and the OWASP AI security ecosystem. Not just theory - field-tested methodology.
Agentic AI Specialist
We understand MCP server architectures, tool-use attack chains, and cross-agent trust boundaries. We test the workflows your AI agents execute, not just the models.
Ready to Test Your AI?
Stop guessing about AI security. Get expert-led assessment in 4-6 weeks.