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Google Cloud Platform

A Next-Generation Threat Intelligence Agent built for the Slack Agent Builder Challenge.

SlackBot GuardAgent is an autonomous, event-driven ChatOps security tool. It acts as an automated threat intelligence pipeline bridging your version control and your team's communication. When developers push code, GuardAgent is notified. When tagged, it extracts the raw code changes, uses an MCP-powered AI to scan for vulnerabilities, maps threats to official MITRE CWE IDs, and searches the Slack workspace to contextually analyze if the team has already discussed the threat.

How it Works (The Flow)

1.You can visit the https://guardagentai.slack.com/ . 2. Commit: A developer pushes code to GitLab. You will then choose either the "Testing file for SlackBot.py " or the " test_this_malicious_payload_for_slackbot.py" 3. Alert: A GitLab Webhook triggers an alert in your designated Slack channel " https://guardagentai.slack.com" 4. Audit Request: A user tags @GuardAgent scan [commit-hash]. 5. Secure Extraction: Using MCP, the agent fetches the specific code changes from GitLab. 6. Context Check: The agent searches your Slack history to see if the vulnerability has already been discussed. 7. Assessment: Gemini 2.5 Flash analyzes the code and context, generating a professional security report. 8. Delivery: GuardAgent renders the final report in the Slack thread using interactive Block Kit UI.

Application de gestion de tâches en architecture microservices — déployée sur Google Kubernetes Engine avec HTTPS automatique via cert-manager + Let's Encrypt. CI/CD GitLab pour le build et la publication des images Docker.

An advanced Streamlit dashboard providing real-time and historical analytics for PayPal USD (PYUSD) on the Ethereum blockchain. This version (v2.1) is powered by Google Cloud Platform (GCP) Blockchain RPC, MongoDB for data caching, persistence, and search, a Google Gemini AI assistant, and a NewsAPI feed. It offers extensive event tracking (Transfers, Mint, Burn, Approvals), network graph visualization, historical analysis, address tagging, a MongoDB-backed watchlist, and a conceptual simulation of bio-implant payments.

🤖🚛Supercharge logistics with GCP ADK agent & Gemini on Cloud Run. It has multimodal chat, manages the fleet, tracks inventory, and uses tools for live data. All interactions are logged to BigQuery for instant insights.

Este é um experimento de um projeto que servirá como um exemplo para a implementação no ambiente da Google Cloud.

This project is my portfolio. It offers employers a chance to see the projects I have undertaken, see my skills and CV, and learn a bit about my motivations and why I want to work in IT. It is a single-page web app which I have containerised with Docker and deployed on GCP Cloud Run, using Terraform to provision the necessary services. I am also currently working on the CI/CD pipeline for the site as well as the README

Docker infrastructure services for n8n on VBox/GCP VMs.