Bouncer
Team consisting of an Adobe ML Engineer (USC MSCS) and a Microsoft AI Security TPM, skilled in PyTorch, agentic LLMs, fine-tuning, and secure GenAI.
Video Video
https://drive.google.com/drive/folders/1WBFKa-LdIlXO0g01rG_sjkYnWvh-ejLw?usp=drive_linkProject Description
Aegis is an intelligent local privacy and security layer that enforces “local-first” sensitive data inspection for AI agents. Instead of sending user files straight to the cloud, Aegis acts as a semantic firewall. It intercepts agentic file requests and processes them entirely on-device using Cactus Compute to ensure speed and prevent sensitive data from leaving your machine.
Our architecture leverages a 2 model local pipeline: SmolLM2-1.7B first summarizes raw content, which is then analyzed by a SFT FunctionGemma-270M to classify sensitivity. Based on this on-device classification, our intelligent routing logic dynamically decides the next step:
- Pass safe content to Gemini 2.5 Flash for high intelligence reasoning.
- Sanitize PII locally before cloud transfer.
- Block critical secrets (API keys) instantly.
- Escalate ambiguous cases to the user for review.
This approach allows us to utilize Gemini without compromising users’ privacy.