# TEAM EZIN

- **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:** [AJMAL CHENGANAKUNNAN](https://cerebralvalley.ai/u/ezinajmal)
- **GitHub:** https://github.com/Ajmalck369/cyberguard-sentinel-global
- **Demo video:** https://youtu.be/P4vkrt6HZoA
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3753

CyberGuard Sentinel Global — Verifiable AI for Cybercrime Response

CyberGuard Sentinel Global is a Meta-powered, multilingual, verification-first cybercrime response prototype designed to help people recognize digital threats, understand protective actions, and prepare accountable incident-response workflows.

Cybercrime victims often face confusing instructions, fragmented reporting channels, language barriers, and uncertainty about what to do after encountering scams. Traditional AI assistants can generate advice but may lack independent verification, clear accountability, or safeguards against unsafe automated actions.

Our solution combines Meta Muse Spark 1.3 with a deterministic verification engine and a bounded agent orchestration workflow.

The system analyzes synthetic phishing, OTP theft, banking impersonation, financial fraud, and related cybercrime scenarios. It identifies observable indicators, assesses risk, proposes protective actions, and checks recommendations against approved action vocabularies, evidence references, and policy restrictions.

A traceable execution workflow retrieves reviewed protective guidance, records decisions, and prevents sensitive reporting actions from proceeding without human approval.

CyberGuard Sentinel also demonstrates configurable global synthetic policy contexts, an approval-controlled referral preview, sanitized threat-intelligence reporting, and a Git-based knowledge-review concept. Intelligence updates are staged and reviewed before promotion rather than automatically trusted or used for model training.

Key technical capabilities include:

- Live Meta Muse Spark inference and structured assessments.
- Independent evidence and action-policy verification.
- Bounded agent orchestration and controlled tool execution.
- Human approval for sensitive synthetic reporting actions.
- Traceable execution and privacy-conscious audit metadata.
- Synthetic global reporting contexts.
- Multilingual exploratory scenarios and accessibility features.
- Reproducible evaluation using a 60-case synthetic benchmark.
- Reviewed intelligence staging and versioned knowledge promotion.

The project is a newly developed, open-source hackathon prototype. It does not submit reports to real authorities, access actual victim records, or claim government endorsement.

Our mission is to demonstrate how AI can move beyond generating cybercrime advice toward verifiable, accountable, and human-governed response workflows that could eventually support safer digital communities worldwide.

## More from Meta Global AI Developer Hackathon

- [Volosity](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3750)
- [ListLens](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3751)
- [AssemblyPilot](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3752)
- [Boro](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3754)
- [Ceval](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3755)
- [Rouvr](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3756)

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