Trident - Redefining AI security

Trident — Brief Summary Trident is an AI response monitoring system that acts as an independent watchdog between large language models and end users. The core problem it solves is simple — when a company deploys an AI chatbot, there is no guarantee that every response the AI generates is safe, accurate, or appropriate for the user to see. Trident solves this by intercepting every single AI response before it reaches the user and running it through a 12 layer classification pipeline built using libraries like VADER, Sci-kit, and better-profanity. Each layer checks for a different type of risk — from negative sentiment and toxic language to jailbreak attempts and sensitive data leaks. If any layer flags the response as unsafe, it is immediately blocked, deleted, and the company is alerted in real time. Only responses that pass all 12 layers are delivered to the user. What makes Trident unique is its sector awareness — the same response is judged differently depending on whether it comes from a healthcare, finance, legal, or general AI system, making the monitoring contextually intelligent rather than one size fits all. It also uses a completely independent model as the auditor, meaning the AI being monitored can never influence its own judgment. The system is presented through a clean professional dashboard built in Streamlit, where judges and companies can paste any AI response, watch it pass or fail through each layer in real time, and view full analytics including risk heatmaps, block frequency charts, and scan history — all exportable as CSV. In one line — Trident is the safety layer every AI deployment needs, because every AI needs a watchdog.