last sync: 2022-Nov-25 17:41:58 UTC

Azure Policy definition

Azure Defender for open-source relational databases should be enabled

Name Azure Defender for open-source relational databases should be enabled
Azure Portal
Id 0a9fbe0d-c5c4-4da8-87d8-f4fd77338835
Version 1.0.0
details on versioning
Category Security Center
Microsoft docs
Description Azure Defender for open-source relational databases detects anomalous activities indicating unusual and potentially harmful attempts to access or exploit databases. Learn more about the capabilities of Azure Defender for open-source relational databases at Important: Enabling this plan will result in charges for protecting your open-source relational databases. Learn about the pricing on Security Center's pricing page:
Mode All
Type BuiltIn
Preview FALSE
Deprecated FALSE
Effect Default
AuditIfNotExists, Disabled
THEN-ExistenceCondition (1)
Alias Namespace ResourceType DefaultPath Modifiable
Microsoft.Security/pricings/pricingTier Microsoft.Security pricings properties.pricingTier false
IF (1)
Compliance The following 14 compliance controls are associated with this Policy definition 'Azure Defender for open-source relational databases should be enabled' (0a9fbe0d-c5c4-4da8-87d8-f4fd77338835)
Control Domain Control Name MetadataId Category Title Owner Requirements Description Info Policy#
Azure_Security_Benchmark_v3.0 DP-2 Azure_Security_Benchmark_v3.0_DP-2 Azure Security Benchmark DP-2 Data Protection Monitor anomalies and threats targeting sensitive data Shared **Security Principle:** Monitor for anomalies around sensitive data, such as unauthorized transfer of data to locations outside of enterprise visibility and control. This typically involves monitoring for anomalous activities (large or unusual transfers) that could indicate unauthorized data exfiltration. **Azure Guidance:** Use Azure Information protection (AIP) to monitor the data that has been classified and labeled. Use Azure Defender for Storage, Azure Defender for SQL and Azure Cosmos DB to alert on anomalous transfer of information that might indicate unauthorized transfers of sensitive data information. Note: If required for compliance of data loss prevention (DLP), you can use a host based DLP solution from Azure Marketplace or a Microsoft 365 DLP solution to enforce detective and/or preventative controls to prevent data exfiltration. **Implementation and additional context:** Enable Azure Defender for SQL: Enable Azure Defender for Storage: n/a link 5
Azure_Security_Benchmark_v3.0 IR-3 Azure_Security_Benchmark_v3.0_IR-3 Azure Security Benchmark IR-3 Incident Response Detection and analysis - create incidents based on high-quality alerts Shared **Security Principle:** Ensure you have a process to create high-quality alerts and measure the quality of alerts. This allows you to learn lessons from past incidents and prioritize alerts for analysts, so they don't waste time on false positives. High-quality alerts can be built based on experience from past incidents, validated community sources, and tools designed to generate and clean up alerts by fusing and correlating diverse signal sources. **Azure Guidance:** Microsoft Defender for Cloud provides high-quality alerts across many Azure assets. You can use the Microsoft Defender for Cloud data connector to stream the alerts to Azure Sentinel. Azure Sentinel lets you create advanced alert rules to generate incidents automatically for an investigation. Export your Microsoft Defender for Cloud alerts and recommendations using the export feature to help identify risks to Azure resources. Export alerts and recommendations either manually or in an ongoing, continuous fashion. **Implementation and additional context:** How to configure export: How to stream alerts into Azure Sentinel: n/a link 13
Azure_Security_Benchmark_v3.0 IR-5 Azure_Security_Benchmark_v3.0_IR-5 Azure Security Benchmark IR-5 Incident Response Detection and analysis - prioritize incidents Shared **Security Principle:** Provide context to security operations teams to help them determine which incidents ought to first be focused on, based on alert severity and asset sensitivity defined in your organization’s incident response plan. **Azure Guidance:** Microsoft Defender for Cloud assigns a severity to each alert to help you prioritize which alerts should be investigated first. The severity is based on how confident Microsoft Defender for Cloud is in the finding or the analytics used to issue the alert, as well as the confidence level that there was malicious intent behind the activity that led to the alert. Additionally, mark resources using tags and create a naming system to identify and categorize Azure resources, especially those processing sensitive data. It is your responsibility to prioritize the remediation of alerts based on the criticality of the Azure resources and environment where the incident occurred. **Implementation and additional context:** Security alerts in Microsoft Defender for Cloud: Use tags to organize your Azure resources: n/a link 13
Azure_Security_Benchmark_v3.0 LT-1 Azure_Security_Benchmark_v3.0_LT-1 Azure 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: Microsoft Defender for Cloud security alerts reference guide: Create custom analytics rules to detect threats: Cyber threat intelligence with Azure Sentinel: n/a link 16
Azure_Security_Benchmark_v3.0 LT-2 Azure_Security_Benchmark_v3.0_LT-2 Azure 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:** Azure AD provides the following logs that can be viewed in Azure AD 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 Azure AD. Examples of audit logs include changes made to any resources within Azure AD 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. Azure AD 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 Azure AD 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 Azure AD: Enable Azure Identity Protection: Threat protection in Microsoft Defender for Cloud: n/a link 16
NZ_ISM_v3.5 ISI-2 NZ_ISM_v3.5_ISI-2 NZISM Security Benchmark ISI-2 Information Security Incidents 7.1.7 Preventing and detecting information security incidents Customer n/a Processes and procedures for the detection of information security incidents will assist in mitigating attacks using the most common vectors in systems exploits. Automated tools are only as good as their implementation and the level of analysis they perform. If tools are not configured to assess all areas of potential security risk then some vulnerabilities or attacks will not be detected. In addition, if tools are not regularly updated, including updates for new vulnerabilities and attack methods, their effectiveness will be reduced. link 12
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. 22
RBI_CSF_Banks_v2016 13.4 RBI_CSF_Banks_v2016_13.4 Advanced Real-Timethreat Defenceand Management Advanced Real-Timethreat Defenceand Management-13.4 n/a Consider implementingsecure web gateways with capability to deep scan network packets including secure (HTTPS, etc.) traffic passing through the web/internet gateway 44
RBI_CSF_Banks_v2016 4.9 RBI_CSF_Banks_v2016_4.9 Network Management And Security Security Operation Centre-4.9 n/a Security Operation Centre to monitor the logs of various network activities and should have the capability to escalate any abnormal / undesirable activities. 16
RBI_CSF_Banks_v2016 6.4 RBI_CSF_Banks_v2016_6.4 Application Security Life Cycle (Aslc) Application Security Life Cycle (Aslc)-6.4 n/a Besides business functionalities, security requirements relating to system access control, authentication, transaction authorization, data integrity, system activity logging, audit trail, session management, security event tracking and exception handling are required to be clearly specified at the initial and ongoing stages of system development/acquisition/implementation. 13
RBI_CSF_Banks_v2016 7.6 RBI_CSF_Banks_v2016_7.6 Patch/Vulnerability & Change Management Patch/Vulnerability & Change Management-7.6 n/a As a threat mitigation strategy, identify the root cause of incident and apply necessary patches to plug the vulnerabilities. 26
RBI_ITF_NBFC_v2017 3.1.f RBI_ITF_NBFC_v2017_3.1.f RBI IT Framework 3.1.f Information and Cyber Security Maker-checker-3.1 n/a The IS Policy must provide for a IS framework with the following basic tenets: Maker-checker is one of the important principles of authorization in the information systems of financial entities. For each transaction, there must be at least two individuals necessary for its completion as this will reduce the risk of error and will ensure reliability of information. link 24
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 40
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
Date/Time (UTC ymd) (i) Change type Change detail
2021-07-30 15:17:20 add 0a9fbe0d-c5c4-4da8-87d8-f4fd77338835
Initiative DisplayName Initiative Id Initiative Category State Type
[Preview]: Reserve Bank of India - IT Framework for Banks d0d5578d-cc08-2b22-31e3-f525374f235a Regulatory Compliance Preview BuiltIn
[Preview]: Reserve Bank of India - IT Framework for NBFC 7f89f09c-48c1-f28d-1bd5-84f3fb22f86c Regulatory Compliance Preview BuiltIn
Azure Security Benchmark 1f3afdf9-d0c9-4c3d-847f-89da613e70a8 Security Center GA BuiltIn
New Zealand ISM Restricted v3.5 93d2179e-3068-c82f-2428-d614ae836a04 Regulatory Compliance GA BuiltIn
SOC 2 Type 2 4054785f-702b-4a98-9215-009cbd58b141 Regulatory Compliance GA BuiltIn