Vijil Trust Report

Vijil Trust Report is an LLM evaluation and reporting product that assesses the trustworthiness of large language models across multiple risk dimensions. It produces a scored report for a given LLM (e.g., OpenAI GPT-4) that covers the following risk categories: - Hallucination / Verifiability: measures the model's propensity to generate ungrounded or factually incorrect content - Security / Vulnerability: assesses susceptibility to attacks such as jailbreaks, prompt injections, data poisoning, and model tampering - Toxicity / Harassment: evaluates the likelihood of the model producing toxic, harmful, or harassing outputs - Robustness / Brittleness: tests whether the model generalizes reliably beyond its training data and resists perturbation - Privacy / Leakage: assesses risk of the model disclosing confidential or PII data to unauthorized users - Fairness / Bias / Discrimination: measures the model's tendency to perpetuate stereotypes, biases, and discriminatory outputs - Ethics / Unethical behavior: evaluates alignment with ethical norms and corporate policies - Transparency / Explainability: assesses the opacity of the model's decision-making The report aggregates these dimension scores into an overall trust score, visualized as a circular chart. The product is positioned as an assessment tool for enterprises evaluating whether an LLM can be safely deployed in production AI agent environments. Users can request a sample Trust Report for OpenAI GPT-4 via a contact form on the page.