MicroSegmentation - Akamai Guardicore Test

Assesses the candidate’s ability to apply and scale label schemas for segmentation. Topics include label hierarchy (Environment, Function, Application), labeling strategies for dynamic workloads, bulk labeling using CMDBs or orchestration tools, and the use of label groups in policy logic. Mastery of label-driven architecture is essential for scalable microsegmentation.

Tests proficiency in visualizing and interpreting L3/L4 traffic flows using the Reveal Map and related telemetry views. Candidates must demonstrate the ability to analyze east-west traffic, identify unsegmented flows, detect unauthorized communication, and investigate anomalies across hybrid infrastructures. Includes baseline behavior analysis and flow filters.

Focuses on the full lifecycle of segmentation policy management—from creation to enforcement. Covers topics such as policy simulation, rule conflict resolution, staged rollout planning, policy rollback strategies, and best practices for designing least-privilege communication rules. Advanced items test the candidate’s ability to manage multi-environment and multi-policy scenarios.

Evaluates the use of Guardicore’s threat detection and forensic capabilities to investigate and respond to breaches. Includes threat indicators (e.g., lateral movement, port scanning, unusual access patterns), investigation workflows, process lineage analysis, and incident containment using microsegmentation. Also covers root-cause analysis and data correlation across systems.

Tests the candidate's ability to install, manage, monitor, and troubleshoot Guardicore agents (Sensors). Topics include deployment on Windows/Linux, agent pairing issues, CPU/memory overhead, connection health, versioning, and best practices for performance tuning and automation of installation (e.g., via PowerShell or orchestration tools).

Assesses segmentation strategy and implementation in cloud-native (AWS, Azure, GCP) and containerized (Kubernetes, OpenShift, Docker) environments. Includes ephemeral workload discovery, agentless visibility, label propagation, namespace-level control, multi-cloud policy management, and dynamic segmentation in autoscaling scenarios.

Focuses on using Guardicore’s RESTful API for policy orchestration, dynamic labeling, security automation, and integration with platforms like ServiceNow (ITSM), Splunk (SIEM), and Phantom/XSOAR (SOAR). Includes token-based authentication, endpoint structure, API rate limits, automation pipelines, and use of SDKs or scripting for extensibility.

Tests the ability to generate and interpret reports for regulatory frameworks such as PCI DSS, HIPAA, FedRAMP, and GDPR. Includes validating segmentation controls, aligning with auditor evidence requirements, and building reporting dashboards that map Guardicore telemetry to compliance controls and internal security policies.

Measures mastery of advanced design principles for deploying Guardicore in enterprise environments as part of a Zero Trust strategy. Topics include zone-based segmentation, phased rollouts, segmentation maturity models, integration with identity providers (Okta, LDAP), custom extensions, and using Guardicore as a foundational Zero Trust control for east-west security.