AI Security Assessment

Find the flaws automated scanners miss

Full AI and LLM penetration testing, shadow AI discovery, EU AI Act risk classification, and multi-framework security assessments. Know your AI risk posture in 4-6 weeks.

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.

4-6

Weeks Duration

Full Report

Technical & Executive

Presentation Session

Frequently Asked Questions

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.

Schedule Your AI Assessment