# Hero dz

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Hamzi Aimen](https://cerebralvalley.ai/u/hero01)
- **GitHub:** https://github.com/aimenhamzi01-dot/mizan
- **Demo video:** https://youtu.be/HWmw2o5sIv4?si=1fDfNrCoaaIafmHq
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/122

MIZAN — The Evidence-Driven Cybersecurity Intelligence Platform

MIZAN is an AI-powered cybersecurity intelligence platform that transforms vulnerability reports and fragmented security data into structured, explainable, and actionable security intelligence.

Built around Meta's AI ecosystem, MIZAN combines intelligent vulnerability analysis, evidence verification, duplicate detection, risk prioritization, and human-supervised security decisions in one unified platform.

At its core is the Meta Intelligence Hub — a centralized model orchestration architecture designed to bring together Meta's AI technologies, including Muse Spark, Muse Wonder, Muse Image, Muse Voice Transcribe, SAM 3.1, Muse Glimmer, Muse Spark Open, and Llama. It provides a unified foundation for model selection, policy-controlled routing, and extensible AI capabilities.

MIZAN goes beyond conventional AI-assisted cybersecurity tools through its integrated Phantom evidence workflow, connecting intelligent analysis with security evidence collection and verification.

Its key capabilities include:

- AI-Powered Vulnerability Analysis: Understands technical reports, extracts findings, and identifies inconsistencies.
- Evidence Intelligence: Evaluates evidence quality, detects contradictions, and identifies missing proof.
- Intelligent Triage: Classifies findings, identifies potential duplicates, and prioritizes security issues.
- Risk Intelligence: Provides explainable, evidence-aware prioritization.
- Phantom Integration: Strengthens the connection between security investigation and verifiable evidence.
- Human-Controlled Decisions: Keeps final vulnerability assessments and dispositions under human authority.
- Auditable Workflows: Makes assessments traceable and supports accountable security review.

Our central innovation is a different philosophy for applying AI to cybersecurity: intelligence must be supported by evidence, uncertainty must remain visible, and consequential decisions must remain under human control.

MIZAN is not another cybersecurity chatbot. It is an evidence-driven intelligence platform designed to make vulnerability assessment more reliable, transparent, and actionable.

AI advises. Evidence proves. Humans decide.

## More from Meta Global AI Developer Hackathon

- [Fermac AI Systems](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/119)
- [KHOA](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/120)
- [NEXUS](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/121)
- [Agent Airlock](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/123)
- [Remelt Games](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/124)
- [Geppetto](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/125)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/122. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
