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In cloud native environments, 90% of teams with containers and Kubernetes said they experienced a security incident in their container or Kubernetes environment. As workloads migrate to the cloud, security teams struggle to get adequate visibility, let alone effective detection and response.
This guide provides the essential checklist for going beyond a signature-based approach to effectively, and practically, detect threats in cloud native environments.
Key takeaways:
- Why a signature-based is not effective for threat detection
- The limitations of anomaly detection via the "black box" approach
- Requirements for avoiding the inherent limitations models inherent in runtime security today
- How a custom, behavioral approach to cloud native detection and response helps teams achieve less noise and detect zero day attacks
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Synopsis
In cloud native environments, 90% of teams with containers and Kubernetes said they experienced a security incident in their container or Kubernetes environment. As workloads migrate to the cloud, security teams struggle to get adequate visibility, let alone effective detection and response.
This guide provides the essential checklist for going beyond a signature-based approach to effectively, and practically, detect threats in cloud native environments.
Key takeaways:
- Why a signature-based is not effective for threat detection
- The limitations of anomaly detection via the "black box" approach
- Requirements for avoiding the inherent limitations models inherent in runtime security today
- How a custom, behavioral approach to cloud native detection and response helps teams achieve less noise and detect zero day attacks
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In cloud native environments, 90% of teams with containers and Kubernetes said they experienced a security incident in their container or Kubernetes environment. As workloads migrate to the cloud, security teams struggle to get adequate visibility, let alone effective detection and response.
This guide provides the essential checklist for going beyond a signature-based approach to effectively, and practically, detect threats in cloud native environments.
Key takeaways:
- Why a signature-based is not effective for threat detection
- The limitations of anomaly detection via the "black box" approach
- Requirements for avoiding the inherent limitations models inherent in runtime security today
- How a custom, behavioral approach to cloud native detection and response helps teams achieve less noise and detect zero day attacks
The Speakers
In cloud native environments, 90% of teams with containers and Kubernetes said they experienced a security incident in their container or Kubernetes environment. As workloads migrate to the cloud, security teams struggle to get adequate visibility, let alone effective detection and response.
This guide provides the essential checklist for going beyond a signature-based approach to effectively, and practically, detect threats in cloud native environments.
Key takeaways:
- Why a signature-based is not effective for threat detection
- The limitations of anomaly detection via the "black box" approach
- Requirements for avoiding the inherent limitations models inherent in runtime security today
- How a custom, behavioral approach to cloud native detection and response helps teams achieve less noise and detect zero day attacks
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