Inspiration:
Institutions face challenges in tracking software vulnerabilities and prioritizing cybersecurity risks. We aim to simplify this through a centralized, AI-assisted security platform.
What We Built:
VulnCentral Intelligence is a cybersecurity dashboard designed to centralize vulnerability information, assess risks, and provide AI-assisted security insights. The project explores cloud technologies, vulnerability management, and intelligent security queries.
What We Learned:
We explored cybersecurity, cloud infrastructure, vulnerability management, containerization, CI/CD, and AI integration.
Challenges:
Designing a secure cloud architecture, organizing vulnerability data, integrating multiple technologies, and planning AI-powered queries were our main challenges.
Future Scope:
Future enhancements include live vulnerability feeds, AI-powered queries, automated alerts, risk-based remediation, and cloud security monitoring.
Built With
- artifact-registry
- artificial-intelligence
- ci/cd
- cloud-armor
- cloud-monitoring
- cloud-security
- cloud-sql
- cybersecurity
- devsecops
- docker
- gemini-api
- github-actions
- google-cloud
- google-kubernetes-engine
- infrastructure-as-code
- kubernetes
- postgresql
- python
- terraform
- vulnerability-management
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