Portfolio
Case studies showcasing our AI Security expertise and automation capabilities.
Implemented comprehensive prompt injection protection for a digital banking platform's AI customer service chatbot.
Challenge
Customer service chatbot vulnerable to prompt injection attacks that could leak sensitive customer data or bypass security controls.
Approach
Deployed multi-layer defense with input validation, semantic analysis, and n8n-based monitoring workflows. Implemented real-time threat detection and automated incident response.
Outcome
Zero successful prompt injection attacks post-deployment. Reduced security review time by 65% with automated threat detection.
Tech Stack
End-to-end EU AI Act compliance implementation for a diagnostic AI platform handling patient health data.
Challenge
Medical AI system needed to meet EU AI Act requirements for high-risk AI systems while maintaining performance and usability.
Approach
Conducted risk assessment, implemented technical documentation system, deployed bias monitoring, created audit trail infrastructure, and established human oversight protocols.
Outcome
Achieved EU AI Act compliance certification. Automated 80% of compliance documentation with n8n workflows. Reduced audit preparation time from weeks to days.
Tech Stack
Comprehensive security assessment and hardening for an AI-powered product recommendation engine processing customer behavior data.
Challenge
Recommendation AI vulnerable to data poisoning attacks and model extraction. Lacked visibility into AI system behavior and decision-making.
Approach
Implemented input sanitization, model watermarking, rate limiting, and comprehensive logging. Built n8n-based observability pipeline for AI decision tracking and anomaly detection.
Outcome
Blocked 127 attempted data poisoning attacks in first month. Improved model transparency with full decision audit trail. Reduced false-positive recommendations by 34%.
Tech Stack
Comprehensive AI security assessment and penetration testing for a B2B SaaS platform with LLM-powered features.
Challenge
New LLM features needed security validation before production release. Unknown vulnerabilities could expose customer data or enable unauthorized access.
Approach
Conducted AI-specific penetration testing: prompt injection, jailbreaking, data extraction, privilege escalation. Automated vulnerability scanning with custom n8n workflows.
Outcome
Identified and remediated 23 security issues pre-launch. Created automated security testing suite. Established ongoing AI security monitoring program.
Tech Stack
Designed and implemented AI governance framework for Fortune 500 company deploying multiple AI systems across business units.
Challenge
Decentralized AI adoption created compliance risks, security gaps, and inconsistent practices across 50+ AI projects.
Approach
Created centralized AI inventory system, risk classification framework, security baseline requirements, and automated compliance checks via n8n. Established AI ethics review board.
Outcome
Brought 50+ AI systems under governance. Reduced AI security incidents by 78%. Automated compliance reporting saved 200+ hours/month.
Tech Stack
Open Source Contributions
Explore our public repositories and open-source projects that help developers automate workflows, secure AI systems, and build modern platforms.
TypeScript middleware to detect and prevent prompt injection attacks. Works with OpenAI, Claude, and custom LLMs.
Production-ready security patterns for n8n workflows. Input validation, credential management, and monitoring templates.
Interactive compliance checklist and risk calculator for EU AI Act (August 2025 deadline). Documentation templates included.
Breakthrough Method for Agile AI-Driven Development. Framework for integrating AI agents into software development workflows.