
~/roadmaps/cloud & devsecops
Cloud Detection & Response
Detect and respond to cloud intrusions.
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Cloud Detection & Response Roadmap: step-by-step
15 steps in order. Open any step in the map above to track progress and take notes.
Orientation
1.Start here
Start· Beginner· ~0.5h
This roadmap is about detecting and responding to attacks in AWS, Azure and Google Cloud, where identity and API activity matter more than network packets. Basic cloud knowledge and SOC fundamentals are recommended.
- Know the main audit log of each cloud provider
- Have a practice account with logging enabled
- Plan your study time
Core skills
2.Cloud telemetry map
Concept· Advanced· ~2h
Each cloud has its own logs: control-plane audit logs (CloudTrail, Azure Activity Log, Cloud Audit Logs), identity sign-in logs, network flow logs and service-specific logs. Knowing what each records is the base of cloud detection.
- List control-plane, identity, network and data-access logs per provider
- Know which are enabled by default
- Plan centralized collection
Tools & tech: Cloud D&R
3.Identity-centric detections
Concept· Advanced· ~3h
In the cloud, stolen credentials are the most common entry point. Detections focus on unusual sign-ins, new keys, privilege changes and impossible travel.
- Detect risky sign-ins and MFA changes
- Alert on new access keys and role assignments
- Correlate identity events with resource activity
Tools & tech: Cloud D&R
4.Data exfil signals
Concept· Advanced· ~4h
Data theft in the cloud often looks like normal API calls: large downloads, new sharing links, snapshot copies or bucket policy changes.
- Identify API actions that can expose data
- Detect unusual volume and new external principals
- Use managed detections such as GuardDuty findings
Tools & tech: Cloud D&R
5.Compute compromise signals
Tool· Advanced· ~2h
Compromised VMs, containers and functions show up as unexpected processes, outbound connections, crypto-mining or metadata service abuse.
- Recognize signs of compromised compute
- Use runtime and flow-log signals
- Know which managed detections cover compute
Tools & tech: Cloud D&R
6.Automation with SOAR
Lab· Advanced· ~3h
Automation makes cloud response fast and consistent — for example, disabling a key or isolating an instance when a high-confidence alert fires.
- Choose which responses are safe to automate
- Build a simple playbook
- Keep a human approval step for risky actions
Tools & tech: Cloud D&R
7.Containment patterns
Concept· Advanced· ~4h
Cloud containment uses identity and configuration: revoke sessions, deactivate keys, restrict security groups, and snapshot for evidence before changing anything.
- Contain compromised identities
- Isolate compute without destroying evidence
- Prevent re-entry
Tools & tech: Cloud D&R
Advanced practice
8.Forensics limitations
Concept· Advanced· ~2h
You don't own the hardware in the cloud, so forensics relies on logs, snapshots and provider APIs. Short log retention and ephemeral resources are common obstacles.
- Understand what evidence is available in the cloud
- Preserve snapshots and logs early
- Plan retention before incidents
Tools & tech: Cloud D&R
9.Multi-cloud detection: normalizing different logs
Tool· Advanced· ~3h
Organizations using several clouds get different log formats, identity systems and tools. A common schema and central SIEM make detection consistent.
- Normalize cloud logs to a common schema
- Map equivalent events across providers
- Avoid gaps between tools
Tools & tech: Cloud D&R
10.Tabletop: cloud breach
Concept· Advanced· ~4h
A tabletop exercise tests whether the team knows who owns each cloud account, where logs are, and how to contain an incident quickly.
- Run a cloud-focused scenario
- Test access to logs and consoles during the exercise
- Record gaps and owners
Tools & tech: Cloud D&R
11.Detection-as-code in cloud
Lab· Advanced· ~2h
Detection-as-code stores detection rules in version control, reviews and tests them like software, and deploys them automatically.
- Write detections in a portable format such as Sigma
- Review and test rules before deployment
- Track changes over time
Tools & tech: Cloud D&R
12.Cloud detection metrics: coverage and response time
Concept· Advanced· ~3h
Measure how many cloud accounts send logs, how many important API actions have detections, and how quickly alerts are triaged and contained.
- Measure logging coverage per account
- Measure detection coverage of key actions
- Track time to triage and contain
Tools & tech: Cloud D&R
13.Case study: investigating a cloud credential leak
Tool· Advanced· ~4h
Walk through a realistic incident — a leaked key used to create resources and read data — from first alert to lessons learned.
- Reconstruct the timeline from audit logs
- Identify the containment and recovery steps
- Write lessons learned
Tools & tech: Cloud D&R
Assessment
14.Skills checkpoint
Checkpoint· Advanced· ~2h
Check that you can detect, investigate and contain an incident in at least one cloud provider using its logs and tools.
- Find the right logs quickly
- Write and test a detection
- Contain without losing evidence
Capstone
15.Cloud Detection & Response — ready
Finish· Advanced· ~1h
You can now handle detection and response in the cloud. Continue with Detection Engineering or SIEM Engineering, or deepen one provider's security certification.
- Keep your detections in Git
- Choose your next roadmap
- Share one detection you built