Research & Analysis
Practical analysis on AI assurance, red-teaming, model evaluation, and regulatory compliance. Written for practitioners and decision-makers in healthcare, financial services, and federal government.
Standard QA verifies deterministic behavior. LLM red-teaming finds the failures that emerge from probabilistic systems, adversarial prompting, and the assumptions no one tested. Here is what the gap looks like in practice.
Full article coming soon.
We publish analysis on AI assurance topics as they develop. Topics in the pipeline include: prompt injection taxonomy, EU AI Act classification methodology, NIST AI RMF implementation for small and mid-size enterprises, and clinical AI bias evaluation methods.