AIF-C01 / Domain 5 / 14%
Security, Compliance, and Governance for AI Solutions
Privacy, security, compliance, and governance controls for AI workloads.
Official Task Statements
| Task | What to prove |
|---|---|
| AIF-5.1 | Explain methods to secure AI systems. |
| AIF-5.2 | Recognize governance and compliance regulations for AI systems. |
Concepts You Need to Understand
- AI data security, IAM, encryption, governance, compliance, audit, logging, retention, and third-party model risk.
AWS services involved
- IAM
- KMS
- CloudTrail
- CloudWatch Logs
- Organizations
- Artifact
Important configurations
- Least privilege to model endpoints.
- Encryption for prompts, artifacts, and logs.
- Data-retention review.
Exam Decision Patterns
Least operational overhead
Prefer managed and serverless services when they satisfy the requirement. Exceptions appear when the scenario needs host control, unsupported runtimes, specialized network behavior, or exact migration compatibility.
Highly available
Identify the failure boundary. One instance is not HA. Multiple instances in one AZ help capacity but not AZ failure. Multi-AZ handles regional AZ faults. Multi-Region handles regional events but adds complexity and cost.
Durable
Durability is about preserving data. Use replication, versioning, backups, point-in-time recovery, and tested restore plans. A durable backup does not guarantee a low RTO.
Decouple the application
Use SQS for buffering work, SNS for fanout, EventBridge for event routing, and Step Functions for visible workflow state. Add retries, DLQs, and idempotent consumers.
Least privilege
Prefer roles and temporary credentials, scope actions/resources/conditions, watch explicit denies, and remember that resource policies may also be required.
Common Mistakes
- Submitting sensitive data to an unreviewed external model.
- Logging prompts that contain secrets or regulated data.
Example Architecture
Hands-On Activity
Review a prompt-processing design and mark where access logs, encryption, and retention controls belong.
For an AWS-account lab, use one of the linked mini labs and keep cleanup steps visible before you start.
Task-by-Task Study Notes
AIF-5.1 - Explain methods to secure AI systems.
Read this task as a decision problem: identify the workload requirement, the control or service family involved, and the tradeoff AWS is testing. The validated local corpus connects this objective to 3 official AWS sources and identifies these study anchors:
- Explain methods to secure AI systems.
- Security, Compliance, and Governance for AI Solutions
- IAM
- KMS
- CloudTrail
- CloudWatch Logs
- Organizations
- Artifact
How to apply the material
- Translate the wording into requirements: security, operations, cost, availability, latency, governance, or data behavior.
- Choose the service or configuration that directly satisfies those requirements with the least unnecessary complexity.
- Reject options that are technically possible but miss the domain goal or increase risk without a requirement.
Explain before memorizing
Know this distinction: explain why the selected approach fits the requirement, what it does not provide, and which customer-managed control remains. Then test the explanation against a changed constraint: a different failure boundary, traffic pattern, data sensitivity, latency target, or operating-cost limit.
Exam habit: when two answers seem technically possible, prefer the one that matches the stated outcome and shared-responsibility boundary. Do not assume that a managed service removes identity, data-protection, configuration, monitoring, recovery, or cost responsibilities.
Mastery check before Arcade practice
- I can define the central terms and explain what problem the objective is solving.
- I can select the best answer from a realistic scenario without relying on a product name alone.
- I can explain why the closest distractor is wrong when one requirement changes.
- I can identify the AWS-managed boundary and the customer-managed control that remains.
- I can predict the main availability, security, scaling, operations, or cost consequence of the choice.
Use the Arcade after you can explain all five checks aloud or in writing. If an answer is correct only because it looks familiar, return to the source anchors and compare the service purpose, constraints, and tradeoffs again.
Practice AIF-5.1 style questions in this domain
Official AWS references for this objective
- AWS docs / aws-certification/latest/ai-practitioner-01/ai-practitioner-01.html
- AWS docs / bedrock/latest/userguide/what-is-service.html
- AWS docs / sagemaker/latest/dg/whatis.html
Sources are from the validated local corpus; retrieved 2026-08-14. Retrieval metadata and hashes are retained in the corpus manifest.
AIF-5.2 - Recognize governance and compliance regulations for AI systems.
Read this task as a decision problem: identify the workload requirement, the control or service family involved, and the tradeoff AWS is testing. The validated local corpus connects this objective to 3 official AWS sources and identifies these study anchors:
- Recognize governance and compliance regulations for AI systems.
- Security, Compliance, and Governance for AI Solutions
- IAM
- KMS
- CloudTrail
- CloudWatch Logs
- Organizations
- Artifact
How to apply the material
- Translate the wording into requirements: security, operations, cost, availability, latency, governance, or data behavior.
- Choose the service or configuration that directly satisfies those requirements with the least unnecessary complexity.
- Reject options that are technically possible but miss the domain goal or increase risk without a requirement.
Explain before memorizing
Know this distinction: explain why the selected approach fits the requirement, what it does not provide, and which customer-managed control remains. Then test the explanation against a changed constraint: a different failure boundary, traffic pattern, data sensitivity, latency target, or operating-cost limit.
Exam habit: when two answers seem technically possible, prefer the one that matches the stated outcome and shared-responsibility boundary. Do not assume that a managed service removes identity, data-protection, configuration, monitoring, recovery, or cost responsibilities.
Mastery check before Arcade practice
- I can define the central terms and explain what problem the objective is solving.
- I can select the best answer from a realistic scenario without relying on a product name alone.
- I can explain why the closest distractor is wrong when one requirement changes.
- I can identify the AWS-managed boundary and the customer-managed control that remains.
- I can predict the main availability, security, scaling, operations, or cost consequence of the choice.
Use the Arcade after you can explain all five checks aloud or in writing. If an answer is correct only because it looks familiar, return to the source anchors and compare the service purpose, constraints, and tradeoffs again.
Practice AIF-5.2 style questions in this domain
Official AWS references for this objective
- AWS docs / aws-certification/latest/ai-practitioner-01/ai-practitioner-01.html
- AWS docs / bedrock/latest/userguide/what-is-service.html
- AWS docs / sagemaker/latest/dg/whatis.html
Sources are from the validated local corpus; retrieved 2026-08-14. Retrieval metadata and hashes are retained in the corpus manifest.
DJames617