“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 with phaiAI has been excellent. The internship provided a practical learning environment where I gained hands-on experience in AI concepts while working on real-world tasks. The mentors were supportive, approachable, and always ready to guide us whenever needed. The structured learning approach, practical assignments, and collaborative environment helped me improve both my technical and problem-solving skills. I also developed a better understanding of teamwork, project execution, and industry expectations.
6
Tools & Frameworks
3
Models
5
AI Concepts
80%
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.
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