compliance controls are associated with this Policy definition 'Azure Kubernetes Service clusters should have Defender profile enabled' (a1840de2-8088-4ea8-b153-b4c723e9cb01)
| Control Domain |
Control |
Name |
MetadataId |
Category |
Title |
Owner |
Requirements |
Description |
Info |
Policy# |
| Azure_Security_Benchmark_v3.0 |
LT-1 |
Azure_Security_Benchmark_v3.0_LT-1 |
Microsoft cloud security benchmark LT-1 |
Logging and Threat Detection |
Enable threat detection capabilities |
Shared |
**Security Principle:**
To support threat detection scenarios, monitor all known resource types for known and expected threats and anomalies. Configure your alert filtering and analytics rules to extract high-quality alerts from log data, agents, or other data sources to reduce false positives.
**Azure Guidance:**
Use the threat detection capability of Azure Defender services in Microsoft Defender for Cloud for the respective Azure services.
For threat detection not included in Azure Defender services, refer to the Azure Security Benchmark service baselines for the respective services to enable the threat detection or security alert capabilities within the service. Extract the alerts to your Azure Monitor or Azure Sentinel to build analytics rules, which hunt threats that match specific criteria across your environment.
For Operational Technology (OT) environments that include computers that control or monitor Industrial Control System (ICS) or Supervisory Control and Data Acquisition (SCADA) resources, use Defender for IoT to inventory assets and detect threats and vulnerabilities.
For services that do not have a native threat detection capability, consider collecting the data plane logs and analyze the threats through Azure Sentinel.
**Implementation and additional context:**
Introduction to Azure Defender:
https://docs.microsoft.com/azure/security-center/azure-defender
Microsoft Defender for Cloud security alerts reference guide:
https://docs.microsoft.com/azure/security-center/alerts-reference
Create custom analytics rules to detect threats:
https://docs.microsoft.com/azure/sentinel/tutorial-detect-threats-custom
Cyber threat intelligence with Azure Sentinel:
https://docs.microsoft.com/azure/architecture/example-scenario/data/sentinel-threat-intelligence |
n/a |
link |
20 |
| Azure_Security_Benchmark_v3.0 |
LT-2 |
Azure_Security_Benchmark_v3.0_LT-2 |
Microsoft cloud security benchmark LT-2 |
Logging and Threat Detection |
Enable threat detection for identity and access management |
Shared |
**Security Principle:**
Detect threats for identities and access management by monitoring the user and application sign-in and access anomalies. Behavioral patterns such as excessive number of failed login attempts, and deprecated accounts in the subscription, should be alerted.
**Azure Guidance:**
Microsoft Entra ID provides the following logs that can be viewed in Microsoft Entra reporting or integrated with Azure Monitor, Azure Sentinel or other SIEM/monitoring tools for more sophisticated monitoring and analytics use cases:
- Sign-ins: The sign-ins report provides information about the usage of managed applications and user sign-in activities.
- Audit logs: Provides traceability through logs for all changes done by various features within Microsoft Entra ID. Examples of audit logs include changes made to any resources within Microsoft Entra ID like adding or removing users, apps, groups, roles and policies.
- Risky sign-ins: A risky sign-in is an indicator for a sign-in attempt that might have been performed by someone who is not the legitimate owner of a user account.
- Users flagged for risk: A risky user is an indicator for a user account that might have been compromised.
Microsoft Entra ID also provides an Identity Protection module to detect, and remediate risks related to user accounts and sign-in behaviors. Examples risks include leaked credentials, sign-in from anonymous or malware linked IP addresses, password spray. The policies in the Microsoft Entra Identity Protection allow you to enforce risk-based MFA authentication in conjunction with Azure Conditional Access on user accounts.
In addition, Microsoft Defender for Cloud can be configured to alert on deprecated accounts in the subscription and suspicious activities such as an excessive number of failed authentication attempts. In addition to the basic security hygiene monitoring, Microsoft Defender for Cloud's Threat Protection module can also collect more in-depth security alerts from individual Azure compute resources (such as virtual machines, containers, app service), data resources (such as SQL DB and storage), and Azure service layers. This capability allows you to see account anomalies inside the individual resources.
Note: If you are connecting your on-premises Active Directory for synchronization, use the Microsoft Defender for Identity solution to consume your on-premises Active Directory signals to identify, detect, and investigate advanced threats, compromised identities, and malicious insider actions directed at your organization.
**Implementation and additional context:**
Audit activity reports in Microsoft Entra ID:
https://docs.microsoft.com/azure/active-directory/reports-monitoring/concept-audit-logs
Enable Azure Identity Protection:
https://docs.microsoft.com/azure/active-directory/identity-protection/overview-identity-protection
Threat protection in Microsoft Defender for Cloud:
https://docs.microsoft.com/azure/security-center/threat-protection |
n/a |
link |
19 |
| RBI_CSF_Banks_v2016 |
13.2 |
RBI_CSF_Banks_v2016_13.2 |
|
Advanced Real-Timethreat Defenceand Management |
Advanced Real-Timethreat Defenceand Management-13.2 |
|
n/a |
Implement Anti-malware, Antivirus protection including behavioural detection systems for all categories of devices ???(Endpoints such as PCs/laptops/ mobile devices etc.), servers (operating systems, databases, applications, etc.), Web/Internet gateways, email-gateways, Wireless networks, SMS servers etc. including tools and processes for centralised management and monitoring. |
|
21 |
| RBI_ITF_NBFC_v2017 |
3.1.g |
RBI_ITF_NBFC_v2017_3.1.g |
RBI IT Framework 3.1.g |
Information and Cyber Security |
Trails-3.1 |
|
n/a |
The IS Policy must provide for a IS framework with the following basic tenets:
Trails- NBFCs shall ensure that audit trails exist for IT assets satisfying its business requirements including regulatory and legal requirements, facilitating audit, serving as forensic evidence when required and assisting in dispute resolution. If an employee, for instance, attempts to access an unauthorized section, this improper activity should be recorded in the audit trail. |
link |
39 |
| SOC_2 |
CC7.2 |
SOC_2_CC7.2 |
SOC 2 Type 2 CC7.2 |
System Operations |
Monitor system components for anomalous behavior |
Shared |
The customer is responsible for implementing this recommendation. |
• Implements Detection Policies, Procedures, and Tools — Detection policies and
procedures are defined and implemented and detection tools are implemented on infrastructure and software to identify anomalies in the operation or unusual activity
on systems. Procedures may include (1) a defined governance process for security
event detection and management that includes provision of resources; (2) use of intelligence sources to identify newly discovered threats and vulnerabilities; and (3)
logging of unusual system activities.
• Designs Detection Measures — Detection measures are designed to identify anomalies that could result from actual or attempted (1) compromise of physical barriers;
(2) unauthorized actions of authorized personnel; (3) use of compromised identification and authentication credentials; (4) unauthorized access from outside the system boundaries; (5) compromise of authorized external parties; and (6) implementation or connection of unauthorized hardware and software.
• Implements Filters to Analyze Anomalies — Management has implemented procedures to filter, summarize, and analyze anomalies to identify security events.
• Monitors Detection Tools for Effective Operation — Management has implemented
processes to monitor the effectiveness of detection tools |
|
20 |