TEAM LEAD“Every packet has a story. LLMs help us hear it.”
Team GuardGPT built a real-time intrusion detection system that classifies network anomalies with Isolation Forest, auto-maps alerts to MITRE ATT&CK, and escalates critical incidents to a Groq-hosted LLaMA 3.1 for natural-language triage.
In their words
My experience at phaiAI has been genuinely transformative. In just two months I went from understanding AI concepts theoretically to building and deploying a real working AI-integrated cybersecurity system. The structured approach — starting with problem definition and documents before jumping into building — taught me how real projects are done in the industry, not just in college. The mentorship was hands-on and sessions like the RAG workshop gave me knowledge I could immediately apply to my project.
6
Tools & Frameworks
3
Models
5
AI Concepts
81%
Avg. Proficiency
AI Proficiency
Network Security
Anomaly Detection
LLM Integration
Real-time Systems
Tools & Frameworks
Models
Concepts
Project · Cybersecurity
Anomaly-Based Intrusion Detection System
Team GuardGPT
A real-time, AI-enhanced intrusion detection system that captures network packets, classifies anomalies with an Isolation Forest model, and auto-tags every alert with MITRE ATT&CK tactics. High and critical alerts are escalated to the Groq LLaMA 3.1 API for natural-language threat analysis and remediation, all surfaced on a live monitoring dashboard.
Built alongside
