Devpost · Global Competitions

Projects & Competitions

Open-source projects built and submitted to global hackathons — 2025/2026

4 Projects·38,000+ global participants competed

Gemini 3 Hackathon — Google DeepMind

SecureBank Copilot (Gemini 3)

Dec 17, 2025 – Feb 9, 2026·35,574 participants·$100,000 prize pool

AI copilot using Gemini 3 to simulate cyber incidents and quantify financial and regulatory impact before they happen.

Machine Learning/AISocial Good
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Dev Season of Code (DSOC) 2026

BoardBrief AI

2026·1,007 participants·$5,450 prize pool

Transforms cybersecurity incidents into clear executive decision briefs.

Machine Learning/AIFintech
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Elasticsearch Agent Builder — Elastic

Incident Triage Agent

Jan 22 – Feb 27, 2026·2,108 participants·$20,000 prize pool

Real-time incident triage that classifies severity and indexes into Elasticsearch.

DatabasesMachine Learning/AI
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Techinance Cyberhack 2

"Should I Worry?" — AI Cyber Assistant

Jan 31 – Feb 10, 2026·70 participants

Transforms security alerts into clear understandable incidents for non-technical users.

CybersecurityHealth
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Featured Project — SecureBank Copilot

Full case study of the project submitted to Gemini 3 Hackathon by Google DeepMind

SecureBank Copilot

From cyber alerts to board-ready financial decisions in minutes.

Unlike traditional security tools, SecureBank Copilot outputs executive briefings, control gaps, and risk register entries — not raw alerts.

Powered by Gemini 3, the system simulates cyber incidents and quantifies financial, operational, and regulatory impact before damage occurs.

The problem

Financial institutions invest billions in cybersecurity, yet executives still struggle to answer a fundamental question:

"If this control fails, what will it actually cost us?"

That uncertainty leads to delayed decisions, regulatory fines, capital loss, and board-level accountability — after it's too late.

Existing tools focus on technical alerts, compliance checklists, or post-incident reports — not on decision-ready financial and regulatory insight.

Why it matters

  • • CISOs struggle to translate incidents into financial and regulatory language
  • • Executives delay decisions due to unclear impact
  • • Control gaps are discovered after incidents, not before

The solution

SecureBank Copilot turns cybersecurity from a reactive technical function into a proactive financial and regulatory decision system.

Using Gemini 3 as a multi-layer reasoning engine, the system simulates realistic cyber incidents and translates them into quantified loss, regulatory exposure, and operational impact — before damage occurs.

  • • Pre-incident scenario simulation
  • • Financial and regulatory impact quantification
  • • Executive-ready summaries
  • • "What-if" decision support

How it works

Designed for financial-sector environments (banking, payments, regulated institutions).

SecureBank Copilot uses Gemini 3 as a multi-layer reasoning engine to connect identity, transaction, control, and regulatory domains into a single decision graph — something traditional rule-based security tools cannot do.

The output is not alerts or raw metrics, but clear decision paths executives can act on.

Built with Gemini 3 · Google AI Studio · SecureBank™ Framework