As Large Language Models (LLMs) and autonomous agents move from experimental labs to production environments, they introduce a completely new class of vulnerabilities. Traditional security tools are blind to the non-deterministic nature of AI. AONIQ’s AI Penetration Testing is a specialized, research-led service that subjects your models to real-world adversarial pressure. We don’t just test the code around the AI; we test the “brain” itself, ensuring your intelligence remains secure, private, and aligned with your business objectives.
We simulate sophisticated "jailbreaking" techniques and "hidden instruction" attacks where models are manipulated via external data sources like emails or web pages.
We attempt to "reverse engineer" the model to leak the sensitive training data or proprietary system prompts that give your AI its competitive edge.
We test the security of your Retrieval-Augmented Generation (RAG) architecture, ensuring the model doesn't bypass authorization to access unauthorized internal documents.
For vision and multimodal models, we test how subtle changes to input data can cause the AI to misclassify information or execute unintended commands.
We don’t just find bugs; we evaluate the entire safety and security lifecycle of your AI implementation.
Adversarial Persona Mapping: We define the threat—from a rogue user trying to bypass safety filters to a competitor trying to steal your model’s weights.
Automated & Manual Probing: We utilize a proprietary suite of adversarial tools combined with manual “Grandmaster” prompting techniques to find flaws that automated filters miss.
Impact Assessment: We don’t just report a “jailbreak.” We show you exactly what an attacker could do with it—whether that’s exfiltrating PII, executing code, or damaging your brand’s reputation.
Guardrail Calibration: We provide specific, actionable recommendations for tuning your system prompts, input/output filters, and architectural guardrails.
Research-First Approach: Our team contributes to global AI safety research, ensuring we are testing for the “zero-day” injection techniques of tomorrow.
Full-Stack Visibility: We understand the relationship between the model, the API, and the cloud infrastructure, providing a 360-degree view of your AI risk.
Regulatory Readiness: Our testing helps you document the “technical robustness” required by the EU AI Act and other emerging global standards.
