Inspiration

Manual passkeys are to slow and inefficient, yet digital ones are simply reactive and aren't doing enough. So we built Aegis to create a system that thinks and acts upon at the speed of the attacker.

What it does

An autonomous AI sentry that analyzes login patterns, scores threats in real-time, auto-bans malicious IPs, and sends instant email alerts.

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Aegis Lock

Inspiration

What it does

How we built it

Frontend: React / Tailwind CSS

Backend: FastAPI / Python

Intelligence: LangChain / Gemini 1.5 Flash

Alerting: SMTP / Gmail App Passwords

Challenges we ran into

Navigating API quota limits, fixing 404 model errors, and handling background tasks so email alerts don't lag the UI. Accomplishments that we're proud of

Creating a resilient "Autonomous Mode" fallback that keeps the system secure even if the AI cloud goes offline. What we learned

Rate-limit management, building non-blocking backend architectures, and the efficiency of JSONL for high-speed security logging. What's next for Aegis Lock

Expanding to Discord webhooks, implementing biometric hardware triggers, and deploying local LLMs for offline threat analysis.

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