Keypoints
- Public cloud adoption creates a distinct cloud-native attack surface that grows rapidly as developers provision resources.
- Cloud assets are API-defined and typically emit telemetry and logging by default, simplifying inventory and visibility if collected correctly.
- Forrester’s “detection surface” concept frames the asset types (containers, IaaS, SaaS, endpoints) where detection must occur.
- Default cloud telemetry alone is insufficient unless SOCs have detection content and processes to interpret it in SIEM/EDR/NDR tools.
- Many security teams currently lack mature cloud-native detection programs and need to evolve SOC capabilities to cover modern development activity.
- Effective cloud detection requires mapping telemetry sources to detection content tailored for cloud primitives (APIs, containers, managed services).
MITRE Techniques
- [T1082] System Information Discovery – Inventory and enumeration via cloud APIs; the article notes that “everything is API-defined and API-accessible; there are no more secret servers” which enables discovery through APIs.
- [T1583] Acquire Infrastructure – Rapid provisioning of cloud resources that can be abused; described as “the boundless freedom to create new resources, new applications, and new security gaps.”
- [T1078] Valid Accounts – Use of credentials or legitimate accounts to access cloud resources, implied by “pathways a hacker might be able to use to gain access to your systems.”
- [T1098] Account Manipulation – Creation or modification of cloud service accounts and resources by developers or attackers, suggested by “new assets created by various teams” expanding the attack surface.
- [T1071] Application Layer Protocol – Heavy reliance on APIs for cloud management and telemetry, referenced as “everything is API-defined and API-accessible.”
- [T1016] System Network Configuration Discovery – Need to understand and map cloud detection surfaces (containers, IaaS, SaaS) to identify network and asset configurations for detection; reflected in the discussion of detection surfaces such as “containers, IaaS instances, SaaS applications.”
Indicators of Compromise
- [Domain] Links and vendor domains referenced in the article – sysdig.com, forrester.com (used as sources and webinar/whitepaper links)
- [URLs] Relevant article and webinar links – https://sysdig.com/blog/cloud-native-attack-surface/, https://go.sysdig.com/Navigating.Cloud.Threats.Forrester
- [Image/resource] Embedded media/source – https://sysdig.com/wp-content/uploads/forrester-webinar-meta-image-new-1-1170×612.png (image used in the post)
Cloud-native environments require detection procedures that specifically account for API-driven assets, ephemeral compute, and managed services. Start by treating cloud APIs as primary discovery channels: use API queries and cloud provider logs to enumerate containers, VMs, serverless functions, service principals, and IAM roles, and normalize that inventory into your asset database. Because cloud resources are often created automatically and short-lived, maintain continuous inventory and tag lineage so detection rules can reference current asset context rather than stale lists.
Next, collect and centralize cloud telemetry (provider audit logs, container runtime logs, orchestration events, and API call records) into your SIEM or detection platform with preserved schema and timestamps. Build detection content that maps noisy, high-volume cloud signals into meaningful behaviors — for example, anomalous API calls, unexpected service-account usage, sudden expansion of resources, or unusual container image pulls — and tune thresholds to account for legitimate DevOps activity. Prioritize detections for cloud-specific primitives (API abuse, misuse of service accounts, provisioning anomalies) rather than only adapting host-centric rules.
Finally, operationalize response: enrich alerts with asset context (owner, environment, tags), automate containment actions where safe (revoke keys, isolate workloads), and feed incident lessons back into dev pipelines (shift-left security policies, IaC checks) so future misconfigurations are prevented. Maturing SOC workflows for cloud detection means mapping telemetry sources to actionable content, continuously validating coverage across containers/IaaS/SaaS, and integrating detection with cloud-native identity and provisioning patterns.
Read more: https://sysdig.com/blog/cloud-native-attack-surface/