samvas-codes/cspm-gpt

The following is a simple example of how LLMs and langchain agents can simplify asking questions to understand the security posture of a cloud environment.

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This project helps cloud security professionals quickly understand their cloud environment's security posture. You provide it with data about your cloud resources (like AWS EC2 instances, S3 buckets, and their configurations) and ask questions in plain English. It then translates these questions into complex queries, providing direct answers or even identifying potential attack paths. Cloud security analysts, SOC teams, and security engineers who need to frequently query cloud security data will find this useful.

No commits in the last 6 months.

Use this if you need to rapidly query complex cloud security data using natural language, without having to write intricate query language commands.

Not ideal if you're looking for a production-ready, fully automated CSPM solution, as this is currently a proof-of-concept demonstration.

cloud-security security-posture-management incident-response cloud-audit attack-path-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

23

Forks

7

Language

Python

License

Apache-2.0

Last pushed

Aug 23, 2023

Commits (30d)

0

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