Assess AI-powered or vibe-coded applications for security weaknesses that can emerge across prompts, model interactions, APIs, data pipelines, retrieval systems, and connected tools.
Testing covers prompt injection, insecure output handling, excessive permissions, sensitive data exposure, access-control weaknesses, unsafe tool use, and vulnerabilities in the surrounding application architecture.
The goal is to identify realistic attack paths across both the AI layer and the systems it connects to, and then provide prioritized remediation guidance to reduce risk before production release or wider deployment.










