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FAQ

Frequently Asked Questions

Find answers to the most common questions about our cybersecurity, automation and AI consulting services.

Cybersecurity

A penetration test is a controlled simulation of a real cyber attack against your systems. Our certified ethical hackers identify vulnerabilities before malicious actors can exploit them. It provides a clear picture of your security posture with actionable remediation priorities, helping you prevent data breaches and comply with regulations like GDPR and NIS2.

A standard vulnerability assessment takes 1-2 weeks depending on scope. A full penetration test requires 2-4 weeks including reconnaissance, testing, and detailed reporting. We deliver a comprehensive report with risk-rated findings and step-by-step remediation guidance within 5 business days of test completion.

A vulnerability assessment uses automated scanning tools to identify known weaknesses across your infrastructure. A penetration test goes further: our experts manually attempt to exploit those vulnerabilities to measure real-world impact. We recommend combining both for a complete security evaluation — scanning for breadth, pentesting for depth.

When a security incident occurs, our team intervenes rapidly to contain the threat, analyze the compromise, and eradicate the attacker's presence. We then collect forensic evidence valid for legal proceedings. Post-incident, we deliver a root-cause analysis report and implement measures to prevent recurrence. Response times start within 4 hours.

We support GDPR, NIS2 Directive, ISO 27001 certification, SOC 2, and PCI DSS compliance. Our pragmatic approach translates complex regulatory requirements into sustainable technical and organizational measures. We guide you through gap analysis, policy development, implementation, and audit preparation for each framework.

Yes, all our free tools process data entirely in your browser — nothing is transmitted to our servers. The Password Strength Checker uses the zxcvbn algorithm locally. The Phishing URL Analyzer performs pattern matching client-side. The Password Generator creates random passwords using your browser's cryptographic API. Your data never leaves your device.

Automation

n8n is the leading open-source workflow automation platform with 400+ native integrations. We chose n8n because it can be self-hosted, keeping your data on your servers, unlike SaaS alternatives like Zapier or Make. It supports complex logic, branching, and custom code while offering a visual drag-and-drop builder accessible to non-technical users.

Simple automations using our ready-made templates can be deployed in 1-3 days. Custom workflows typically take 1-2 weeks from analysis to production. Complex multi-system integrations may require 3-4 weeks. Every project starts with a process analysis to map workflows and identify the highest-impact automation opportunities.

We can connect virtually any system with an API. Common integrations include Google Workspace, Slack, HubSpot, Salesforce, Stripe, Shopify, Notion, Airtable, databases (PostgreSQL, MySQL), and AI services (OpenAI, Anthropic). With n8n's 400+ connectors plus custom HTTP nodes, we integrate even legacy systems and proprietary APIs.

No. We design every automation to run autonomously once deployed. You'll receive a clear dashboard to monitor workflow execution and get alerts if issues arise. If changes are needed, n8n's visual editor is intuitive enough for non-technical users. We also provide training and documentation tailored to your team.

Each automation includes built-in error handling and monitoring. We set up alerts for failures, track execution logs, and provide performance dashboards. Our maintenance plans include proactive monitoring, updates when connected services change their APIs, and priority support. We ensure your automations keep running reliably 24/7.

Our library contains 8700+ pre-built workflows tested and ready for deployment — ideal for common use cases like lead capture, email automation, or data sync. Custom automations are built from scratch for your specific business logic, unique integrations, and complex workflows that no template covers. Both options include deployment support and documentation.

AI Consulting

AI can automate repetitive tasks, extract insights from large datasets, personalize customer experiences, and optimize decision-making. Common use cases include intelligent document processing, predictive analytics, AI-powered chatbots, and demand forecasting. The key is identifying where AI delivers the highest ROI for your specific business context.

The data requirements depend on your use case. Generally, you need structured and relevant historical data — customer records, transaction logs, operational metrics, or text documents. We start every project with a data readiness assessment to evaluate what you have, identify gaps, and define a data strategy before any model development.

AI consulting projects vary based on scope and complexity. A readiness assessment starts from a few thousand euros. Proof-of-concept pilots typically range from €10K-30K. Full production implementations depend on integration complexity and scale. We always recommend starting with a focused pilot to demonstrate value before larger investments.

Traditional automation follows fixed rules — if X happens, do Y. AI goes beyond rules by learning from data patterns to handle unstructured situations, make predictions, and improve over time. For example, traditional automation routes emails by keyword; AI understands intent, sentiment, and context to make intelligent decisions autonomously.

A proof-of-concept can be delivered in 4-8 weeks, showing measurable results on a specific use case. Production deployment typically adds 2-3 months. Quick wins like document classification or chatbots show impact within weeks, while predictive models may take months to accumulate enough data for reliable performance.

Data security is foundational to our approach. We implement encryption at rest and in transit, role-based access controls, and data anonymization where appropriate. All projects comply with GDPR requirements. Models can be deployed on-premise or in private cloud environments to ensure sensitive data never leaves your infrastructure.

Still have questions?

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