Deploying AI without an audit is a liability. Datasoli provides end-to-end security audits for Large Language Models, identifying structural vulnerabilities in your architecture, data pipelines, and model weights to ensure your AI is robust, ethical, and secure.
Risk Vectors Tested
Architecture Review
Alignment Support
Model Inspection
Core Capabilities
We stress-test your model against thousands of automated and manual edge cases. Our goal is to find the breaking point of your safety filters through intensive red-teaming and boundary-pushing simulations.
We verify that sensitive training data or RAG (Retrieval-Augmented Generation) sources cannot be extracted by end-users. Our audit ensures that your proprietary “knowledge base” remains private and protected from extraction attacks.
AI regulation is evolving. We audit your models for bias, toxicity, and adherence to emerging global AI standards (like the EU AI Act), ensuring your deployment is not just secure, but legally compliant.
Standard software audits miss the “black box” nature of neural networks.
LLMs can provide different (and potentially dangerous) answers to the same query over time.
Third-party plugins and APIs can introduce "Indirect Injections" that standard scans ignore.
Preventing "hallucinated" brand damage before it reaches the public.
Our Process
