Adversarial Testing for Modern AI
From jailbreak assessments to full deployment audits — structured, rigorous, and aligned to the EU AI Act.
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 & 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.