The AI Cybersecurity Partner
You Can Trust
We help teams adopt AI securely, harden infrastructure, and continuously validate defenses with red, blue, and purple teaming. Based in the Netherlands, serving the EU.
Build software faster — and safer
Modern security for AI-enabled products: secure-by-default architectures, LLM threat modeling, and advanced detection & response.
Secure AI Architecture
Identify model, data, prompt, and supply chain risks in AI systems using STRIDE-for-LLM and OWASP guidance.
Red & Purple Teaming
Adversarial testing across cloud, app, and AI attack surfaces with measurable resilience improvements.
Security Strategy
Align AI security with business goals and regulatory needs. Establish clear governance to enable innovation safely.
Cybersecurity in AI Program
A structured 4‑part program to build strategy, assess risk, enable teams, and apply secure AI practices.
1. Get a grip on AI security strategy
Clarify objectives, governance, and risk appetite. Align AI security with business strategy and regulatory requirements.
2. Analyze processes & identify risks
Map systems and data flows. Perform AI‑focused threat modeling across models, prompts, tools, and supply chain.
3. Understanding & embedding secure AI in teams
Upskill developers and stakeholders on AI security patterns: authZ, isolation, secrets, governance, and testing.
4. Practical work with secure tools & prompts
Hands‑on labs: red/purple teaming, prompt safety testing, guardrail configuration, and evidence collection for MRM/compliance.
Why Us
AI security is different from traditional IT security. That's why you need a partner who knows both the technical side of AI and the regulatory landscape in the Netherlands.
Agile & Local
A Dutch consultancy that delivers fast, practical results.
Deep AI Expertise
Hands‑on knowledge of AI/ML security, adversarial threats, and model governance.
Affordable, Transparent
Big4‑level expertise without enterprise overhead.
Regulatory Focus
Guidance on GDPR, NIS2, and the EU AI Act that speaks the regulator’s language.
Client Success Stories
Real-world outcomes from healthcare, finance, and retail where our AI security experts enabled rapid, safe adoption.
Healthcare: PHI‑safe clinical co‑pilot
A multi‑hospital network deployed an LLM triage assistant across 12 specialties—safely. We designed a secure architecture to protect patient data while enabling clinical innovation.
- De‑identification & re‑identification pipeline to protect PHI
- Consent-aware access controls and audit trails for RAG
- Prompt injection filters, tool-use allowlists, and rate limits
Impact: 32% faster triage, 74% lower hallucination rate, and SOC2 controls mapped to HIPAA policies.
Finance: Fraud detection hardening
A fintech scaled GenAI features while meeting strict Model Risk Management (MRM) requirements. We provided end-to-end testing and validation.
- Threat modeling for models and tools; red‑teamed data leakage and jailbreaks
- Tenant isolation, secrets governance, and least‑privilege feature access
- Generated MRM artifacts: model cards, testing evidence, and approval workflows
Impact: +22% detection lift, 18% fewer false positives, and an audit‑ready MRM package in 6 weeks.
Retail: Secure AI customer support
A global e‑commerce brand launched a product-aware support assistant across 9 locales. We ensured it was resilient against abuse and data leakage.
- RAG pipeline with policy-based PII masking for order data
- Defense-in-depth: output filters, tool sandboxing, and abuse throttling
- Telemetry for drift and safety incidents with rapid rollback capabilities
Impact: 42% ticket deflection, +15 CSAT points, and zero data leakage incidents post-launch.
Ready to Secure Your AI Roadmap?
Book a discovery call. We’ll map your threats, prioritize controls, and deliver a 90‑day action plan.