Status:
Available
The Fortinet NSE 6 - FortiNDR Cloud 26 Analyst exam evaluates your knowledge of, and expertise with, FortiNDR Cloud to identify and investigate security incidents.
This exam tests your applied knowledge of FortiNDR Cloud configuration and operation, and includes operational scenarios, incident analysis, integration with third party products, and troubleshooting scenarios.
Once you pass the exam, you will receive the following exam badge:

Audience
The Fortinet NSE 6 - FortiNDR Cloud 26 Analyst exam is intended for network and security professionals responsible for the detection and analysis of security incidents using FortiNDR Cloud.
Exam Details
| Exam name |
Fortinet NSE 6 - FortiNDR Cloud 26 Analyst |
| Time allowed |
65–75 minutes |
| Exam questions |
30–40 questions |
| Scoring |
Pass or fail. A score report is available from your Pearson VUE account. |
| Language |
English |
| Product version |
FortiNDR Cloud 26 |
Exam Topics
Successful candidates have applied knowledge and skills in the following areas and tasks:
Architecture and system settings (15–25% of the exam)
| Tasks |
Details |
| Explain the FortiNDR Cloud architecture |
- Fortinet FortiNDR offerings
- FortiNDR Cloud SaaS offering
- Back-end concepts
- Entity information extraction
- Enrichment
- Detection matching and intelligence correlation
- Data storage
- Features of the front end
- Portal management
- Use cases (display mode, subscription provisioning, annotation provisioning)
|
| Identify the FortiNDR Cloud sensors |
- FortiNDR Cloud sensors
- Sensor types
- Sensor data
- Sensor registration
- Metadata production
- Event types
- Special considerations
- Use cases: sensors, MITRE ATT&CK detections, frameworks
|
Events and queries (25–35% of the exam)
| Tasks |
Details |
| Explain event types and fields |
- Protocol definition (Flow, DNS, HTTP, SSL, SMB, DEC/RPC)
- Key available fields (Flow, DNS, HTTP, SSL, SMB, DEC/RPC)
- Security implications (Flow, DNS, HTTP, SSL, SMB, DEC/RPC)
- Use cases: flow events (fields, sub-fields, metadata)
|
| Configure IQL query to match security events |
- IQL purpose
- IQL uses
- IQL syntax structures
- Entity search and IQL search (simple search using “entity”, IQL and flow search, using regex in the search, SMTP search, using the IN and LIKE syntax, output with a global map, challenge, expert challenge)
|
Detection (15–25% of the exam)
| Tasks |
Details |
| Analyze detections and behavioral observations |
- Detector with details
- Severity levels
- Confidence levels
- Resolution options
- Basic tools for scoping the impact of a detection
- Behavioral observations
- Observation details
- Investigation stage
- Use case: IOC investigation
|
| Implement detectors |
- New detector
- Run list
- Tuning detections
|
Investigations and integrations (20–30% of the exam)
| Tasks |
Details |
| Perform investigations to detect threats |
- Search settings
- Describe gathering context
- Open-source intelligence (OSINT)
- VirusTotal
- External entities
- File hashes
- Timeline usage
- Steps for changing to a different tactic
- Query modification
- Packet capture
- Resolution types
- Detection resolution
- Use cases: Investigate an outbreak alert, investigate a detection
|
| Explain how to integrate FortiNDR Cloud (API/connectors) |
- FortiNDR: FortiNDR Cloud connector
- FortiEDR: FortiEDR panel, detection investigating, host isolation
- FortiNDR Cloud API: API functions
|
| Perform threat hunting activities |
- Concepts and definitions
- A practical model for conducting cyberthreat hunting
- Tactics, Techniques, and Procedures (TTP)-based threat hunting
- Fortinet-Gigamon Threat Hunting whitepaper
- Ransomware
|
Training Resources
The following resources are recommended for attaining the knowledge and skills that are covered on the exam. The recommended training is available as a foundation for exam preparation. In addition to training, you are strongly encouraged to have hands-on experience with the exam topics and objectives.
Experience
A minimum of 6 months of practical experience with FortiNDR cloud administration, or equivalent technology, is recommended.