What technology does Prisma Cloud Compute leverage to protect against container breakout exploits?

Prisma Cloud Compute utilizes machine learning capabilities to protect against container breakout exploits. Machine learning is effective in identifying and mitigating potential threats by analyzing a wide range of patterns in container behavior. It can detect anomalies in real-time, recognizing behavior that deviates from established norms or typical usage, which is crucial for identifying breakout attempts where a container might try to escape its environment and access the host or other containers.

The use of machine learning enables the system to adapt and improve its threat detection over time by learning from new data. This proactive approach is critical in the dynamic landscape of containerized environments, where new vulnerabilities may emerge rapidly. Leveraging machine learning can enhance the security posture by providing deeper insights and quicker responses to potential security incidents.

Other options, while they may have their roles in security practices, do not specifically capture the proactive detection and mitigating of container breakout exploits as effectively as machine learning does.