EU AI Act Compliance: What Your LLM Deployment Needs to Know
The EU AI Act is reshaping how organisations must approach AI safety. Here is what high-risk AI system operators need to prepare for.
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We Break Your AI So Attackers Can't
RokoAI offers expert red teaming and adversarial testing for LLM-based systems, helping organizations identify vulnerabilities before they are exploited in the wild.
Our Mission
At RokoAI, we empower organizations to build safer, more trustworthy AI by conducting proactive, adversarial red teaming across models and systems. Our mission is to identify hidden vulnerabilities before misuse, advancing the integrity of AI for everyone.
Our Vision
RokoAI envisions a future where every AI system is robust against emerging threats — where red teaming is an integral pillar of AI development. By simulating real-world attacks and continuously stress-testing algorithms, we help clients deliver AI solutions that are secure, ethical, and reliable.
The Problem
Why Red Teaming?
Consumer-facing products that expose LLMs face a unique and growing set of risks. Jailbreak attacks, prompt injection, language-switching exploits, and persona hijacking are just a few of the vectors that can compromise your AI system. Most development teams approach AI from an engineering perspective without accounting for adversarial misuse. RokoAI fills that gap with rigorous, structured security testing aligned to the EU AI Act and emerging global standards.
Jailbreak Attacks
Bypassing safety alignment through persona manipulation and adversarial prompts.
Prompt Injection
Overriding system instructions to redirect model behaviour maliciously.
Language Switching
Exploiting multilingual blind spots to evade safety filters.
Alignment Drift
Gradual departure from intended behaviour under unexpected inputs.
Orchestration Exploits
Attacking multi-agent pipelines and tool-use frameworks.
Data Poisoning
Corrupting fine-tuning or retrieval pipelines to influence outputs.
What We Do
Our Services
Jailbreak & Adversarial Testing
Comprehensive testing against persona attacks, chat-interaction attacks, language-switching exploits, sub-prompt injection, and robustness testing with prompt alterations.
Prompt Injection Assessment
Systematic evaluation of your system's resistance to prompt injection attacks that attempt to override system instructions and redirect model behaviour to malicious ends.
LLM Deployment Audit
Analysis of your LLM implementation for common flaws including high latencies, excessive inference costs, oversized models for simple tasks, and insecure API exposure.
Alignment & Safety Evaluation
Assessment of your model's alignment with intended behaviour, testing for drift, hallucination risks, and compliance with EU AI Act requirements.
Adversarial Agent Testing
Simulation of adversarial LLM-based agents equipped with tools to perform multi-step attacks against your system, uncovering orchestration-level vulnerabilities.
Custom Red Team Engagements
Tailored red teaming engagements designed around your specific AI deployment, threat model, and compliance requirements. BFSI, healthcare, and public sector specialists.
The Team
Built by Researchers. Driven by Security.
P
Pavel Denisov
CEO & Co-Founder
PhD in Natural Language Processing (University of Stuttgart). Specialist in multimodal setups, LLM vulnerability research, and adversarial prompt engineering.
M
Manuel Mager
Co-Founder & Chief Scientist
PhD in Natural Language Processing (University of Stuttgart). Former AWS Applied Scientist for Responsible AI at AWS Bedrock Guardrails. Deep expertise in LLM safety, adversarial robustness, and low-resource NLP.
Á
Ánh Nguyễn
Co-Founder & Business Lead
MBR. Responsible for business planning and implementation. Drives go-to-market strategy, funding, and operational execution for RokoAI.
Latest
News & Updates
RokoAI Launches — Pioneering AI Red Teaming in Europe
We are proud to announce the official launch of RokoAI, bringing expert adversarial testing to LLM deployments across Europe.
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