CyberAegies Ai

Project Story (Devpost) Inspiration

Phishing attacks and deepfake-based scams are rapidly increasing across email, social media, and voice/video communication. Traditional security systems fail to detect AI-generated deception in real time, especially when attacks mimic trusted identities.

We built CyberAegies AI as an AI-powered Phishing and Deepfake Defense Platform to detect, analyze, and prevent modern AI-driven cyber attacks before they reach the user.

What it does

CyberAegies AI is a unified security system that protects users from AI-generated threats such as phishing emails, fake websites, voice cloning, and deepfake media.

It provides:

AI-based phishing email detection (malicious intent + URL analysis) Fake website detection using domain and behavior analysis Deepfake detection for images and video frames Voice spoofing / AI voice scam detection (planned/extendable module) Real-time threat scoring and classification Instant alerts with severity levels (Low / Medium / High / Critical) SOC-style dashboard for monitoring all threats in one place Secure login system with OTP verification and role-based access How we built it

We designed the system as a modular AI cybersecurity platform:

Frontend: HTML, CSS, JavaScript (SOC-style cyber UI with real-time animations) Backend: Python Flask AI Layer: NLP-based phishing detection + deepfake classification logic Data Handling: JSON storage with optional MongoDB integration Threat Engine: Custom scoring system combining multiple risk signals Notifications: Email + Telegram real-time alert system Execution Layer: Background processing for continuous monitoring Information:Added AI Assisant

The system is designed like a mini Security Operations Center (SOC) focused on modern AI threats.

Challenges we ran into Detecting AI-generated phishing patterns beyond simple keyword matching Designing a unified system for text, image, and behavioral threats Balancing real-time performance with AI-based analysis Creating a SOC dashboard that is both technical and visually intuitive Handling authentication securely with OTP + password reset flows Accomplishments that we're proud of Built a multi-layer AI cybersecurity defense system Combined phishing + deepfake detection into one platform Designed a real-time SOC dashboard experience Implemented live alerting system with severity scoring Created a secure authentication pipeline with OTP verification What we learned AI-based cybersecurity threat modeling NLP techniques for phishing detection Deepfake detection fundamentals Real-time backend system design in Flask Secure authentication and user session handling SOC-style visualization design principles What’s next for CyberAegies AI Improve deepfake detection using CNN / transformer models Add browser extension for real-time phishing detection Integrate OSINT threat intelligence APIs Add voice phishing detection (audio AI model) Deploy on cloud (AWS/GCP) with scalable architecture Add enterprise SOC dashboard version 🧠 Built With Languages & Frameworks Python Flask JavaScript HTML5 CSS3 AI / Security Modules NLP-based phishing detection Deepfake detection pipeline (image/video analysis) Threat scoring engine Rule + ML hybrid detection approach Security bcrypt password hashing OTP email verification system Secure session management Password reset tokens (itsdangerous) Database JSON-based user storage MongoDB optional support Notifications SMTP email alerts Telegram bot alerts System Design Modular AI security architecture Real-time background processing engine SOC-style dashboard visualization