Discovering MLflow Framework Zero-day Vulnerability | Machine Language Model Security

Discovering MLflow Framework Zero-day Vulnerability | Machine Language Model Security | Contrast Security
2023-12-2 01:48:22 Author: securityboulevard.com(查看原文) 阅读量:4 收藏

The ability to recover from failures, high loads and cyberattacks.

Continue servicing workload requests during the recovery of failed components or services.

Implementing security measures to protect cloud workloads from cybersecurity threats like DDoS.

Maintaining uninterrupted service in the face of software, infrastructure and network failures or disruptions.

Designing cloud workloads to adapt to sudden changes in demand automatically.

Regularly performing backups to prevent data loss and enable quick recovery in case of failures.

Designing cloud workloads so they can more easily move between cloud locations and service providers.

Using geographically distributed or redundant cloud data centers.

Resiliency is just another marketing buzzword.

文章来源: https://securityboulevard.com/2023/12/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security/
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