EU-based AI Security SpecialistSecuring AI
Securing AI
from prompt to production
EU-based cybersecurity boutique specializing in LLM security testing, AI red teaming, penetration testing, and EU AI Act & NIS2 compliance. We help teams ship AI systems that survive real adversaries, from prompt injection and jailbreaks to multi-agent abuse and supply chain attacks.
Backed by purpose-built open-source tooling: DojoLM (534+ attack patterns across 30 categories), Basileak & Shogun (vulnerable + hardened model pair), BonkLM (defensive validators), and PantheonLM (81+ security agents). Methodology grounded in OWASP LLM Top 10, NIST AI RMF, and the EU AI Act.
0+
Years Experience
0+
Security Assessments
0+
AI Compliance Frameworks
0
Open Source Tools
- EC-Council LLM Pentesting Certified
- ETHGlobal Winner, 2 Prizes
- 10+ Years Security Experience
- GDPR Compliant
What We Do
Security Services
Specialized cybersecurity services from offensive testing to regulatory compliance
Flagship
AI Security
Comprehensive security assessments for LLM-powered applications. From prompt injection testing and AI agent security to multi-agent operations and custom model hardening.
Flagship
EU Compliance
Navigate the EU regulatory landscape with expert guidance on AI Act, DORA, NIS2, CRA, and CSA compliance.
Pentesting
Offensive security services that identify real vulnerabilities before attackers do. Web apps, APIs, infrastructure, and social engineering.
OSINT
Map your attack surface and understand your threat landscape with open-source intelligence and threat actor profiling.
vCISO
Strategic security leadership for organizations building or maturing their security programs.
Flagship
Model Training
Purpose-built AI model fine-tuning for security use cases. From intentionally vulnerable training models to hardened production deployments.
Agentic Ops
Design, build, and secure multi-agent AI systems. From architecture to deployment, with battle-tested orchestration patterns.
Industries
Who We Protect
Tailored security solutions for industries navigating AI adoption and EU regulation
AI Startups
Security-first architecture for AI-native companies
AI-Native Companies
Model training, agent security, and AI ops
SaaS
Application security for cloud platforms
Healthcare
Data protection and compliance
Financial Services
DORA compliance and security testing
Critical Infrastructure
NIS2 and operational technology security
Our Tools
LLM Security Lifecycle
Purpose-built open-source tools for every stage of AI security
LearnDefendTestHardenOperateShowcase
Basileak
PublishedLearn
Intentionally vulnerable LLM for red team training
BonkLM
PublishedDefend
Defensive library with 7 security validators
DojoLM
In DevelopmentTest
LLM security testing & CTF platform
Shogun
Coming SoonHarden
Hardened LLM for security research
PantheonLM
PublishedOperate
Multi-agent operations framework (81+ agents)
BUCC
PublishedShowcase
Black Unicorn Command Centre, secure agentic framework vitrine
Insights
Latest from the Blog
Technical deep dives, security research, and compliance guidance
Agentic AI
Ultra Instinct: How BUCC Agents Train Themselves
A closed-loop self-improvement pipeline for a 25-agent fleet: harvest, score, mutate, train, deploy. Local hardware, QLoRA, one-click rollback. A builder's journal on continuous agent improvement in production.
Apr 17, 2026
Agentic AI
Building a 7-Dimension ACL Framework for 25 AI Agents
Traditional ACL asks who can access what. Agent ACL has to answer across seven dimensions at once. Here's the 175-element matrix we built for BUCC and why default-deny is the only model that survives contact with production.
Apr 17, 2026
Agentic AI
Catching AI Hallucinations: A Five-Stage Quality Pipeline
Hallucinations aren't an LLM problem, they're a quality-control problem. Here's the 5-stage pipeline that catches, classifies, and contains bad outputs before they reach customers, and the decision rationale behind each stage.
Apr 16, 2026
Agentic AI
Three-Layer LLM Routing: Cost, Privacy, and Performance Without Trade-offs
L1 local Ollama, L2 subscription APIs, L3 pay-per-token frontier models. The routing layer decides which tier handles each call based on sensitivity, complexity, and cost. Here's the architecture that keeps 25 agents running without burning through a cloud bill.
Apr 15, 2026
Agentic AI
Provisioning AI Agents Like Infrastructure: An 8-Step Pipeline
Production agents aren't spun up, they're provisioned. Persona, scope, tools, memory, permissions, briefing, first task, review. Here's the lifecycle model that replaces 'deploy and pray' with something you can actually audit.
Apr 14, 2026
Agentic AI
The Data Sanitization Proxy: Fail-Closed Security for Every LLM Call
Every outbound LLM call is a data egress event. The DSP sits between the fleet and every provider, classifies the payload, and routes sensitive data to L1-local models only. Here's how it works and why default-deny is the only posture that survives production.
Apr 13, 2026