One drawback I have observed with Trivy is the difficulty in building or integrating a UI, particularly for an operator in the NetSuite example. It is not intuitive or pre-packaged, making it challenging for users like me who need to develop their own UI. Additionally, having little experience can hinder the ability to connect it to a user-friendly UI effectively.
Trivy generates many false positives, flagging non-existent vulnerabilities. Improvements could include better contextual analysis or granular filtering. Scanning larger workloads takes longer due to slow database updates during initial scans. Enhancements in RBAC or network policy scanning capabilities would be beneficial.
The only problem is that Trivy does not support reporting features such as generating reports in CSV, which is useful for auditing and reporting. Additionally, Trivy should work as a Software Composition Analysis tool. If Trivy could do this, it would be great.
In our CI/CD pipelines, Trivy lacks built-in functionality for report analysis. It would be beneficial to have an automated report mechanism for outputs in formats like CSV or JSON. Additionally, especially as the world is moving towards AI, it would be helpful to give recommendations based on scanning reports. It can also give recommendations in enhancing cluster security if somehow AI is induced in it.
For malware detection, I need to use two tools: Trivy as my anomaly scanner and ClamAV. I am integrating these two tools into the CI pipeline. If both malware and anomaly detection could be managed by one tool, I would not need to depend on two tools. That would be my suggestion.
The reporting could be a little better. When integrating Trivy with CI, the interpretation of the reports could be improved. The only aspect that seems to require more effort is understanding the reporting, which might need some attention.
Container Security ensures the protection of software containers from threats and vulnerabilities. By securing the containerization process, organizations can maintain robust, scalable, and reliable application performance.
Container Security focuses on the challenges of securing containerized environments. It involves various strategies such as vulnerability scanning, access controls, and runtime protection. Solutions in this space cater to identifying and mitigating risks specific to...
One drawback I have observed with Trivy is the difficulty in building or integrating a UI, particularly for an operator in the NetSuite example. It is not intuitive or pre-packaged, making it challenging for users like me who need to develop their own UI. Additionally, having little experience can hinder the ability to connect it to a user-friendly UI effectively.
Trivy generates many false positives, flagging non-existent vulnerabilities. Improvements could include better contextual analysis or granular filtering. Scanning larger workloads takes longer due to slow database updates during initial scans. Enhancements in RBAC or network policy scanning capabilities would be beneficial.
The only problem is that Trivy does not support reporting features such as generating reports in CSV, which is useful for auditing and reporting. Additionally, Trivy should work as a Software Composition Analysis tool. If Trivy could do this, it would be great.
In our CI/CD pipelines, Trivy lacks built-in functionality for report analysis. It would be beneficial to have an automated report mechanism for outputs in formats like CSV or JSON. Additionally, especially as the world is moving towards AI, it would be helpful to give recommendations based on scanning reports. It can also give recommendations in enhancing cluster security if somehow AI is induced in it.
For malware detection, I need to use two tools: Trivy as my anomaly scanner and ClamAV. I am integrating these two tools into the CI pipeline. If both malware and anomaly detection could be managed by one tool, I would not need to depend on two tools. That would be my suggestion.
The reporting could be a little better. When integrating Trivy with CI, the interpretation of the reports could be improved. The only aspect that seems to require more effort is understanding the reporting, which might need some attention.