Macie

AWS Macie

Amazon Macie
~ Last updated on : ~ jayendrapatil

AWS Macie

  • Macie is a data security service that discovers sensitive data by using machine learning and pattern matching, provides visibility into data security risks, and enables automated protection against those risks.
  • provides an inventory of the S3 general purpose buckets and automatically evaluates and monitors the buckets for security and access control.
  • automates the discovery, classification, and reporting of sensitive data.
  • generates a finding for you to review and remediate as necessary if it detects a potential issue with the security or privacy of the data, such as a bucket that becomes publicly accessible.
  • provides multi-account support using AWS Organizations to enable Macie across all of the accounts.
  • is a regional service and must be enabled on a region-by-region basis and helps view findings across all the accounts within each Region.
  • supports VPC Interface Endpoints and endpoint policies to access Macie privately from a VPC without an internet gateway, NAT device, VPN connection, or AWS Direct Connect connection.
  • can perform preventative control monitoring for up to 10,000 S3 general purpose buckets per account.
  • stores policy and sensitive data findings for 90 days.
  • offers a 30-day free trial that includes automated sensitive data discovery and S3 bucket-level evaluation, plus 1 GB of data processed per month at no cost (free tier does not expire).
  • integrates with AWS Security Hub, Amazon EventBridge, and AWS User Notifications for centralized monitoring and remediation.

Amazon Macie

Macie Sensitive Data Discovery

  • Macie provides two ways to discover sensitive data:
    • Automated Sensitive Data Discovery – continuously evaluates S3 bucket inventory, samples and analyzes representative objects, and builds sensitivity profiles for each bucket.
    • Sensitive Data Discovery Jobs – on-demand, daily, weekly, or monthly jobs that analyze all or a subset of objects in specified S3 buckets.
  • Macie uses Managed Data Identifiers (built-in ML and pattern matching) to detect common sensitive data types including:
    • Personally identifiable information (PII) – names, addresses, passport numbers, national IDs
    • Financial data – credit card numbers, bank account numbers, IBANs (50+ countries)
    • Credentials – AWS secret keys, API keys (Google Cloud, Stripe), HTTP authorization headers, JSON Web Tokens
  • Custom Data Identifiers allow detection of organization-specific sensitive data using regex patterns, keywords, and proximity rules.
  • Allow Lists define text or patterns for Macie to ignore, enabling exceptions for known safe data (e.g., public representative names, test data).
  • Macie supports analysis of objects encrypted with SSE-S3, SSE-KMS, and DSSE-KMS (dual-layer server-side encryption).
  • Supports S3 storage classes including Standard, Intelligent-Tiering, and S3 Glacier Instant Retrieval.

Automated Sensitive Data Discovery

  • Continually evaluates and samples S3 objects across all buckets, providing ongoing discovery without manual job creation.
  • Builds an interactive data map of where sensitive data resides across accounts.
  • Provides a sensitivity score for each bucket (1-100) with a corresponding sensitivity label.
  • Administrators can enable/disable automated discovery for individual accounts in an organization.
  • Member accounts have read access to statistics and inventory data produced by automated discovery.
  • Uses a dynamic, recommended default set of managed data identifiers optimized for common sensitive data categories.
  • Resource coverage page provides unified view of coverage statistics and remediation guidance for analysis issues.

Sensitive Data Discovery Jobs

  • Jobs can analyze data across up to 1,000 buckets spanning up to 1,000 accounts in an organization.
  • Can specify which managed data identifiers a job should use, or use the recommended set.
  • Support runtime criteria for dynamic bucket selection based on inventory changes.
  • Can use S3 object prefixes for custom include/exclude criteria to refine scope.
  • Jobs can be paused and resumed.
  • Estimated costs are calculated and displayed during job creation.
  • CloudWatch Logs can be used to monitor and analyze events during job execution.

Macie Findings

  • Macie generates two categories of findings:
    • Policy Findings – from continuous monitoring of S3 bucket configurations and policies (no active scanning required).
    • Sensitive Data Findings – from discovery jobs or automated discovery that inspects object content.
  • Policy finding types include:
    • Policy:IAMUser/S3BlockPublicAccessDisabled
    • Policy:IAMUser/S3BucketPublic
    • Policy:IAMUser/S3BucketReplicatedExternally
    • Policy:IAMUser/S3BucketSharedExternally
    • Policy:IAMUser/S3BucketSharedWithCloudFront – indicates bucket shared with CloudFront OAI or OAC.
    • Policy:IAMUser/S3BucketEncryptionDisabled
  • Findings are retained for 90 days and can be viewed in the console or via API.
  • Findings can be published to AWS Security Hub and Amazon EventBridge for centralized monitoring.
  • Findings are consolidated by object or bucket with severity-based prioritization.
  • Sensitive Data Samples – Macie can retrieve and reveal samples of sensitive data reported in findings to verify the nature of detected data. Supports configuring an IAM role for cross-account access.
  • Suppression rules (filter rules) can be used to automatically archive findings that match specific criteria.

Macie Multiple Accounts

  • Macie provides multi-account support using AWS Organizations to enable Macie across all of the accounts.
  • An organization consists of a designated administrator account and one or more associated member accounts.
  • Accounts can be associated in two ways,
    • by integrating AWS Organizations (Recommended) or
    • by sending and accepting membership invitations
  • The designated administrator can assess and monitor the overall security posture of the organization’s S3 data estate, and discover sensitive data in the organization’s S3 buckets.
  • The administrator can also perform various account management and administration tasks at scale, such as monitoring estimated usage costs and assessing account quotas.
  • Can manage Macie for up to 10,000 accounts in an organization.
  • Administrator can enable/disable automated sensitive data discovery for individual accounts or all accounts selectively.

Macie Integration with AWS Security Hub

  • Macie publishes both policy findings and sensitive data findings to AWS Security Hub.
  • Security Hub provides security controls that check:
    • Macie.1 – whether Macie is enabled for an AWS account.
    • Macie.2 – whether automated sensitive data discovery is enabled for a Macie account.
  • Integrates with AWS User Notifications for configuring custom notification rules and delivery channels.

Macie Pricing

  • Charged based on three dimensions:
    • Number of S3 buckets evaluated for bucket inventory and monitoring (up to 10,000 per account).
    • Number of S3 objects monitored for automated data discovery.
    • Quantity of data inspected for sensitive data discovery jobs.
  • 30-day free trial includes automated sensitive data discovery and S3 bucket-level security evaluation.
  • 1 GB of data processed per month at no cost (perpetual free tier, not limited to trial).

AWS Certification Exam Practice Questions

  • Questions are collected from Internet and the answers are marked as per my knowledge and understanding (which might differ with yours).
  • AWS services are updated everyday and both the answers and questions might be outdated soon, so research accordingly.
  • AWS exam questions are not updated to keep up the pace with AWS updates, so even if the underlying feature has changed the question might not be updated
  • Open to further feedback, discussion and correction.
  1. Which AWS service makes it easy to automate the process of discovering, classifying, and protecting data stored in AWS?
    1. AWS Shield
    2. AWS WAF
    3. AWS GuardDuty
    4. AWS Macie
  2. A company needs to continuously monitor its S3 buckets for sensitive data such as PII and financial information across multiple AWS accounts. They want an automated solution that provides sensitivity scores and an interactive data map. Which approach should they use?
    1. Create individual S3 event notifications for each bucket
    2. Enable Amazon Macie automated sensitive data discovery across the organization
    3. Write custom Lambda functions to scan S3 objects on upload
    4. Use AWS Config rules to check for sensitive data
  3. A security team wants to identify sensitive data in S3 that matches their company’s proprietary data formats, in addition to standard PII detection. Which Macie feature should they use?
    1. Managed data identifiers only
    2. Custom data identifiers with regex patterns and keywords
    3. S3 Object Lock
    4. AWS Config custom rules
  4. An organization is using Macie and wants to prevent findings from being generated for known safe data patterns, such as test credit card numbers used in development environments. What should they configure?
    1. Suppression rules
    2. Custom data identifiers with exclusion patterns
    3. Allow lists
    4. IAM policies to restrict Macie access to development buckets
  5. How does Amazon Macie integrate with AWS Security Hub? (Select TWO)
    1. Macie publishes policy and sensitive data findings to Security Hub
    2. Security Hub triggers Macie scans automatically
    3. Security Hub provides controls to verify Macie is enabled (Macie.1) and automated discovery is active (Macie.2)
    4. Security Hub manages Macie pricing
    5. Macie uses Security Hub to store discovery results

References

AWS Security Services Cheat Sheet

AWS Identity and Security Services
~ Last updated on : ~ jayendrapatil

AWS Security Services Cheat Sheet

AWS Identity and Security Services

AWS IAM Identity Center (Successor to AWS SSO)

  • is a centralized workforce identity management service that provides single sign-on (SSO) access to multiple AWS accounts and business applications.
  • was renamed from AWS Single Sign-On (AWS SSO) in July 2022.
  • enables administrators to define, customize, and assign fine-grained access across AWS accounts and applications.
  • provides workforce users a portal to access AWS accounts and cloud applications assigned to them.
  • supports integration with external identity providers (IdPs) like Microsoft Active Directory, Okta, and Azure AD.
  • simplifies multi-account access management through AWS Organizations integration.
  • provides temporary credentials instead of long-term IAM user credentials.
  • supports attribute-based access control (ABAC) for fine-grained permissions.

Key Management Service – KMS

  • is a managed encryption service that allows the creation and control of encryption keys to enable data encryption.
  • provides a highly available key storage, management, and auditing solution to encrypt the data across AWS services & within applications.
  • uses hardware security modules (HSMs) that are FIPS 140-3 Security Level 3 certified (upgraded from FIPS 140-2 in May 2023).
  • seamlessly integrates with several AWS services to make encrypting data in those services easy.
  • supports multi-region keys, which are AWS KMS keys in different AWS Regions. Multi-Region keys are not global and each multi-region key needs to be replicated and managed independently.
  • supports External Key Store (XKS) capability (November 2022) allowing customers to store and control encryption keys on-premises or outside AWS cloud while using AWS KMS.
  • provides three key store options: Default KMS key store, CloudHSM custom key store, and External key store (XKS).
  • supports on-demand key rotation (April 2024) allowing immediate rotation of symmetric encryption keys without waiting for automatic rotation schedules, with a maximum of 10 on-demand rotations per key.
  • offers flexible automatic rotation periods (90 days to 2560 days) instead of the previous fixed annual rotation.
  • supports post-quantum cryptography:
    • ML-KEM hybrid post-quantum key exchange for TLS connections to KMS endpoints, protecting against “harvest now, decrypt later” attacks.
    • ML-DSA (FIPS 204) post-quantum digital signatures (June 2025) for quantum-resistant signing operations within FIPS 140-3 Level 3 certified HSMs.

CloudHSM

  • provides secure cryptographic key storage to customers by making hardware security modules (HSMs) available in the AWS cloud
  • helps manage your own encryption keys using FIPS 140-3 Level 3 validated HSMs (upgraded from FIPS 140-2).
  • single tenant, dedicated physical device to securely generate, store, and manage cryptographic keys used for data encryption
  • are inside the VPC (not EC2-classic) & isolated from the rest of the network
  • can use VPC peering to connect to CloudHSM from multiple VPCs
  • integrated with Amazon Redshift and Amazon RDS for Oracle
  • EBS volume encryption, S3 object encryption and key management can be done with CloudHSM but requires custom application scripting
  • is NOT fault-tolerant and would need to build a cluster as if one fails all the keys are lost
  • enables quick scaling by adding and removing HSM capacity on-demand, with no up-front costs.
  • automatically load balance requests and securely duplicates keys stored in any HSM to all of the other HSMs in the cluster.
  • launched hsm2m.medium instance type (August 2024) with FIPS 140-3 Level 3 certification, increased key storage (16,666 keys), higher elliptic curve performance, mTLS support, and non-FIPS cluster mode option.
  • deprecated hsm1.medium instance type — no new hsm1 clusters can be created as of April 2025; customers must migrate to hsm2m.medium.
  • expensive, prefer AWS Key Management Service (KMS) if cost is a criteria.

AWS Payment Cryptography

  • is a managed service for payment processing cryptographic operations (launched June 2023).
  • provides payment-specific HSMs that replace on-premises payment hardware security modules.
  • helps meet PCI (Payment Card Industry) security requirements and compliance needs.
  • supports cryptographic operations like PIN generation, validation, and credit/debit card security code processing.
  • manages underlying physical HSM infrastructure and key management automatically.
  • integrates with AWS IAM for authorization and AWS CloudTrail for auditing.
  • enables payment processing workloads to move to the cloud securely.
  • provides elastic scaling for payment cryptography operations.

AWS Private Certificate Authority (Private CA)

  • is a managed private certificate authority service for issuing and managing private SSL/TLS certificates.
  • removes upfront investment and ongoing maintenance costs of operating your own private CA.
  • supports two operating modes: General-purpose mode (certificates with any validity period) and Short-lived certificate mode (certificates valid up to 7 days, launched February 2023).
  • integrates with AWS Certificate Manager (ACM) for automated certificate provisioning and renewal.
  • supports Private CA Connector for Active Directory (September 2023) enabling AWS Private CA as drop-in replacement for self-managed enterprise CAs without local agents.
  • supports post-quantum ML-DSA digital certificates (November 2025) for transitioning PKI toward post-quantum cryptography.
  • provides audit and compliance support through AWS CloudTrail integration.
  • enables certificate-based authentication for services like Amazon WorkSpaces.

AWS WAF

  • is a web application firewall that helps monitor the HTTP/HTTPS traffic and allows controlling access to the content.
  • helps protect web applications from attacks by allowing rules configuration that allow, block, or monitor (count) web requests based on defined conditions. These conditions include IP addresses, HTTP headers, HTTP body, URI strings, SQL injection and cross-site scripting.
  • helps define Web ACLs, which is a combination of Rules that is a combinations of Conditions and Action to block or allow
  • integrated with CloudFront, Application Load Balancer (ALB), API Gateway, Amazon Cognito, AWS App Runner, and AWS Verified Access.
  • supports custom origins outside of AWS, when integrated with CloudFront
  • provides AWS WAF Fraud Control with three capabilities:
    • Account Takeover Prevention (ATP) – Protects login pages against credential stuffing attacks
    • Account Creation Fraud Prevention (ACFP) – Detects and blocks automated bot-based account creation
    • Bot Control – Detects and controls common bots and targeted bots with a catalog of 650+ unique bots including AI crawlers, AI data collectors, AI assistants, and LLM training crawlers
  • supports Challenge and CAPTCHA actions for bot mitigation.
  • provides AI Activity Dashboard (February 2026) for visibility into AI bot and agent traffic patterns.
  • launched AI Traffic Monetization (June 2026), a Bot Control capability that lets content providers price, meter, and collect payment from AI bots and agents accessing their content and APIs via HTTP 402 Payment Required responses.
  • AWS WAF Classic reached end of support on September 30, 2025. All customers must use AWS WAF (v2).

AWS Verified Access

  • provides VPN-less, secure access to corporate applications (GA April 2023).
  • implements Zero Trust security model for application access without traditional VPN.
  • validates each application request against identity and device security requirements before granting access.
  • integrates with identity providers (IdPs) and device management systems for authentication and authorization.
  • uses Cedar policy language for fine-grained access control policies.
  • supports AWS WAF integration for additional web application protection.
  • provides signed identity context to end applications for additional security.
  • simplifies remote access management and improves user experience compared to VPN.
  • eliminates VPN infrastructure management overhead.

Amazon Verified Permissions

  • is a fully managed fine-grained authorization service for custom applications (GA June 2023).
  • uses Cedar, an open-source policy language released May 2023, for defining authorization policies.
  • enables developers to externalize authorization logic from application code.
  • provides centralized policy management and administration.
  • offers millisecond-latency authorization decisions with provably correct results.
  • supports policy validation using automated reasoning to prevent misconfigurations.
  • integrates with identity providers for user and group information.
  • enables fine-grained permissions based on user attributes, resource attributes, and context.
  • provides policy versioning and audit capabilities.
  • follows “explicit permit” and “forbid overrides permit” principles.

AWS Secrets Manager

  • helps protect secrets needed to access applications, services, and IT resources.
  • enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle.
  • secure secrets by encrypting them with encryption keys managed using AWS KMS.
  • offers native secret rotation with built-in integration for RDS, Redshift, and DocumentDB.
  • supports Lambda functions to extend secret rotation to other types of secrets, including API keys and OAuth tokens.
  • supports IAM and resource-based policies for fine-grained access control to secrets and centralized secret rotation audit for resources in the AWS Cloud, third-party services, and on-premises.
  • enables secret replication in multiple AWS regions to support multi-region applications and disaster recovery scenarios, automatically keeping replicas in sync including rotation.
  • launched Managed External Secrets (November 2025) — a new secret type enabling automatic rotation for third-party SaaS credentials (Salesforce, MongoDB Atlas, Confluent Cloud, Datadog, Snowflake) without custom Lambda rotation functions.
  • supports hybrid post-quantum TLS (ML-KEM) for protecting secrets against future quantum computing threats (April 2026).
  • supports private access using VPC Interface endpoints

AWS Shield

  • is a managed service that provides protection against Distributed Denial of Service (DDoS) attacks for applications running on AWS
  • provides protection for all AWS customers against common and most frequently occurring infrastructure (layer 3 and 4) attacks like SYN/UDP floods, reflection attacks, and others to support high availability of applications on AWS.
  • provides AWS Shield Advanced with additional protections against more sophisticated and larger attacks for applications running on EC2, ELB, CloudFront, AWS Global Accelerator, and Route 53.
  • Shield Advanced provides 24/7 access to AWS Shield Response Team (SRT) and cost protection against DDoS-related spikes.
  • AWS Shield Network Security Director (preview) performs analysis of resources to visualize network topology, identify configuration issues, and provide actionable remediation recommendations.

AWS GuardDuty

  • offers threat detection that enables continuous monitoring and protects the AWS accounts and workloads.
  • is a Regional service
  • analyzes continuous streams of meta-data generated from AWS accounts and network activity found in AWS CloudTrail Events, EKS audit logs, VPC Flow Logs, and DNS Logs.
  • integrated threat intelligence
  • combines machine learning, anomaly detection, network monitoring, and malicious file discovery, utilizing both AWS-developed and industry-leading third-party sources to help protect workloads and data on AWS
  • supports suppression rules, trusted IP lists, and threat lists. Now supports custom entity lists (September 2025) with domain-based threat intelligence in addition to IP-based lists.
  • provides Malware Protection to detect malicious files on EBS volumes and S3 objects (on-demand scanning API).
  • provides EKS Runtime Monitoring using fully managed EKS add-on for visibility into container runtime activities (file access, process execution, network connections).
  • provides RDS Protection for profiling and monitoring access activity to Amazon Aurora databases.
  • provides Lambda Protection for monitoring AWS Lambda function invocations and runtime behavior.
  • can identify specific containers within EKS clusters that are potentially compromised and detect privilege escalation attempts.
  • launched Extended Threat Detection (December 2024) — AI/ML-powered attack sequence identification that detects multi-stage attacks spanning multiple AWS data sources and resources, including EC2 instances and ECS clusters on Fargate.
  • offers flexible protection plan configuration — new accounts can inherit protection plans automatically, and plans can be enabled/disabled independently.
  • operates completely independently from the resources so there is no risk of performance or availability impacts on the workloads.

Amazon Inspector

  • is a vulnerability management service that continuously scans the AWS workloads for vulnerabilities
  • automatically discovers and scans EC2 instances and container images residing in Elastic Container Registry (ECR) for software vulnerabilities and unintended network exposure.
  • supports AWS Lambda function scanning for vulnerabilities in application code and dependencies.
  • provides CI/CD integration with open-source plugins for Jenkins, TeamCity, and other CI/CD tools to scan container images at build time.
  • provides code security capabilities including static application security testing (SAST), software composition analysis (SCA), and infrastructure as code (IaC) scanning via SCM tool connections.
  • supports agentless EC2 scanning (March 2026) with expanded detection coverage including Windows OS vulnerability scanning without requiring an agent.
  • launched Inspector VM Scanner (May 2026) for improved agent-based scanning with more granular package collection and reduced CPU utilization on EC2 instances.
  • creates a finding, when a software vulnerability or network issue is discovered, that describes the vulnerability, rates its severity, identifies the affected resource, and provides remediation guidance.
  • is a Regional service.
  • Amazon Inspector Classic reached end of support on May 20, 2026. All customers must use Amazon Inspector (v2).

Amazon Security Lake

  • is a fully managed security data lake service (GA November 2023).
  • automatically centralizes security data from AWS environments, SaaS providers, on-premises, and cloud sources into a purpose-built data lake.
  • normalizes security data into the Open Cybersecurity Schema Framework (OCSF) standard format.
  • aggregates data from AWS services like CloudTrail, VPC Flow Logs, Route 53 logs, and third-party sources.
  • enables comprehensive security data analysis across entire organization.
  • automatically collects data for existing and new accounts with multi-account support.
  • stores security data in customer’s own AWS account for data ownership and control.
  • integrates with analytics tools like Amazon Athena, Amazon OpenSearch, and third-party SIEM solutions.
  • supports cross-region data aggregation for centralized security monitoring.
  • pricing based on data ingestion volume and normalization (no charge for third-party or custom data).

Amazon Detective

  • helps analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities.
  • automatically collects log data from the AWS resources and uses machine learning, statistical analysis, and graph theory to build a linked set of data to easily conduct faster and more efficient security investigations.
  • enables customers to view summaries and analytical data associated with CloudTrail logs, EKS audit logs, VPC Flow Logs.
  • provides finding groups that let you examine multiple activities related to a potential security event, analyze root cause for high severity GuardDuty findings, and visualize entity connections.
  • provides detailed summaries, analysis, and visualizations of the behaviors and interactions amongst your AWS accounts, EC2 instances, AWS users, roles, and IP addresses.
  • supports automated investigation of IAM users and roles for indicators of compromise (IoC).
  • maintains up to a year of aggregated data
  • is a Regional service and needs to be enabled on a region-by-region basis.
  • is a multi-account service that aggregates data from monitored member accounts under a single administrative account within the same region.
  • integrates with Amazon Security Lake for lateral movement investigations.
  • has no impact on the performance or availability of the AWS infrastructure since it retrieves the log data and findings directly from the AWS services.

AWS Security Hub

  • is a unified cloud security solution that prioritizes critical security issues and helps respond at scale to protect cloud environments.
  • was completely re-imagined at re:Invent 2025 — now unifies AWS security services including Amazon GuardDuty, Amazon Inspector, and Amazon Macie into a single experience.
  • provides near real-time risk analytics (GA December 2025) with automated correlation, enrichment, and prioritization of security signals from multiple sources.
  • collects security data from across AWS accounts, services, and supported third-party partner products.
  • is Regional but supports cross-region aggregation of findings.
  • automatically runs continuous, account-level configuration and security checks based on AWS best practices and industry standards including CIS Foundations, PCI DSS, and NIST frameworks.
  • detects unused IAM permissions, roles, and credentials (May 2026) across the AWS organization for identity risk reduction.
  • offers Security Hub Extended plan (2026) providing full-stack enterprise security with 21+ curated partner solutions across 9 security categories (endpoint, identity, email, network, data, browser, cloud, AI, security operations).
  • supports integration with Amazon EventBridge for custom actions and automated remediation.
  • has multi-account management through AWS Organizations integration, which allows delegating an administrator account for the organization.
  • works with AWS Config to perform most of its security checks for controls.

AWS Macie

  • Macie is a data security service that discovers sensitive data by using machine learning and pattern matching, provides visibility into data security risks, and enables automated protection against those risks.
  • provides an inventory of the S3 buckets and automatically evaluates and monitors the buckets for security and access control.
  • automates the discovery, classification, and reporting of sensitive data.
  • supports automated sensitive data discovery that continuously samples and analyzes S3 objects, builds an interactive data map, and provides a sensitivity score for each bucket.
  • generates a finding for you to review and remediate as necessary if it detects a potential issue with the security or privacy of the data, such as a bucket that becomes publicly accessible.
  • can analyze objects encrypted with dual-layer server-side encryption (DSSE-KMS).
  • provides multi-account support using AWS Organizations to enable Macie across all of the accounts.
  • is a regional service and must be enabled on a region-by-region basis and helps view findings across all the accounts within each Region.
  • supports VPC Interface Endpoints to access Macie privately from a VPC without an internet gateway, NAT device, VPN connection, or AWS Direct Connect connection.

AWS Artifact

  • is a self-service audit artifact retrieval portal that provides customers with on-demand access to AWS’ compliance documentation and agreements.
  • can use AWS Artifact Reports to download AWS security and compliance documents, such as AWS ISO certifications, Payment Card Industry (PCI), and System and Organization Control (SOC) reports.
  • supports listCustomerAgreements API (November 2024) for programmatic tracking of active agreements across accounts.
  • provides SOC reports in machine-readable OSCAL format in addition to PDF.

AWS Security Services – Practice Questions

  1. A company needs to manage encryption keys with FIPS 140-3 Level 3 compliance and wants AWS to handle the infrastructure. Which service should they use?
    • A. AWS CloudHSM
    • B. AWS KMS ✓
    • C. AWS Secrets Manager
    • D. AWS Certificate Manager
  2. A financial institution needs to process payment card transactions in the cloud while meeting PCI compliance requirements. Which service should they use?
    • A. AWS CloudHSM
    • B. AWS KMS
    • C. AWS Payment Cryptography ✓
    • D. AWS Private CA
  3. A company wants to provide secure access to corporate applications without using VPN. Which service implements Zero Trust access?
    • A. AWS Client VPN
    • B. AWS Verified Access ✓
    • C. AWS Direct Connect
    • D. AWS PrivateLink
  4. A development team needs to externalize authorization logic from their application and use fine-grained permissions. Which service should they use?
    • A. AWS IAM
    • B. Amazon Cognito
    • C. Amazon Verified Permissions ✓
    • D. AWS IAM Identity Center
  5. A company needs to centralize security data from multiple AWS accounts and third-party sources for analysis. Which service should they use?
    • A. AWS Security Hub
    • B. Amazon Security Lake ✓
    • C. Amazon Detective
    • D. AWS CloudTrail
  6. Which AWS service uses AI/ML to detect multi-stage attack sequences spanning multiple data sources and resources?
    • A. Amazon Inspector
    • B. AWS Security Hub
    • C. Amazon GuardDuty Extended Threat Detection ✓
    • D. Amazon Detective
  7. A company wants to scan EC2 instances for vulnerabilities without installing any agent. Which capability supports this?
    • A. AWS Config Rules
    • B. Amazon Inspector agentless scanning ✓
    • C. AWS Security Hub
    • D. Amazon GuardDuty
  8. Which AWS WAF capability allows content providers to charge AI bots for accessing their content?
    • A. AWS WAF Fraud Control
    • B. AWS WAF Bot Control
    • C. AWS WAF AI Traffic Monetization ✓
    • D. AWS Shield Advanced
  9. A company needs to automatically rotate third-party SaaS credentials without writing custom Lambda functions. Which feature supports this?
    • A. AWS Secrets Manager Managed External Secrets ✓
    • B. AWS Systems Manager Parameter Store
    • C. AWS KMS automatic rotation
    • D. AWS Config
  10. A security team wants a unified view that correlates findings from GuardDuty, Inspector, and Macie with near real-time risk analytics. Which service provides this?
    • A. Amazon Detective
    • B. Amazon Security Lake
    • C. AWS Security Hub ✓
    • D. AWS CloudTrail Lake
  11. An organization needs to protect their KMS encryption keys against future quantum computing threats. Which KMS feature should they use?
    • A. External Key Store (XKS)
    • B. Multi-Region keys
    • C. ML-KEM hybrid post-quantum TLS ✓
    • D. On-demand key rotation
  12. Which service was renamed from AWS Single Sign-On (SSO) in July 2022?
    • A. AWS IAM
    • B. Amazon Cognito
    • C. AWS IAM Identity Center ✓
    • D. AWS Directory Service

References