9 Best Database Security Tools in 2027

Databases store some of an organization’s most valuable information, including customer records, financial transactions, employee details, business credentials, and application data. As these environments expand across on-premises infrastructure, cloud platforms, and managed database services, protecting sensitive information becomes more challenging. Weak access controls, excessive user privileges, misconfigurations, and unmonitored database activity can expose critical information to internal and external threats.

Database security tools help organizations identify sensitive data, control database access, monitor user activity, detect suspicious behavior, and protect information through encryption or masking. Some platforms focus on database activity monitoring and auditing, while others assess vulnerabilities, manage permissions, or enforce security policies across different data environments. The capabilities vary, so selecting a product requires understanding which security risks it is designed to address.

Organizations also need to consider database compatibility, deployment architecture, regulatory requirements, and the level of security automation they expect. A company running Azure SQL may prefer Microsoft’s native protection capabilities, while an enterprise managing databases across multiple cloud providers may need centralized monitoring and access governance. Teams handling sensitive customer information may also prioritize encryption, tokenization, and dynamic data masking.

In this guide, we compare nine database security tools based on their database coverage, threat detection, activity monitoring, vulnerability assessment, access controls, data protection capabilities, deployment options, and pricing.

Why Do You Need Database Security Tools?

Database security tools help organizations protect stored information from unauthorized access, data exposure, malicious activity, and security misconfigurations. They provide visibility into how users and applications interact with databases while helping security teams enforce access policies and identify potential vulnerabilities.

Relying only on database-native permissions and manual audits can make it difficult to maintain consistent protection across large environments. Dedicated security platforms add capabilities such as sensitive-data discovery, continuous activity monitoring, vulnerability assessment, encryption, and automated alerts. These controls help organizations reduce exposure and investigate suspicious database activity.

Here are some reasons organizations use database security tools:

• Prevent unauthorized access: Apply access policies, role-based permissions, and identity controls to restrict who can view or modify sensitive database information.
• Detect suspicious activity: Monitor database queries, user sessions, and access patterns to identify unusual behavior and potential threats.
• Identify vulnerabilities: Assess database configurations, permissions, and security settings to uncover weaknesses before attackers exploit them.
• Protect sensitive information: Use encryption, tokenization, and data masking to reduce the exposure of confidential records.
• Support compliance requirements: Maintain audit trails, generate security reports, and document database access to support regulatory obligations.
• Improve security visibility: Discover databases and sensitive data across cloud, on-premises, and hybrid environments through centralized security monitoring.

Database Security Tools Comparison

Compare the leading database security tools based on their security capabilities, database coverage, deployment options, licensing, and pricing. The table below highlights the key differences to help you evaluate each platform for protecting databases and sensitive information.

Tool	Primary Security Capabilities	Deployment	Best For	Open Source	Pricing	G2 Rating
IBM Guardium	Activity monitoring, vulnerability assessment, data discovery, compliance	Hybrid and cloud	Enterprise database security and compliance	No	Custom quote	N/A
Imperva Data Security Fabric	Data discovery, activity monitoring, risk assessment, protection	Cloud and hybrid	Security visibility across distributed databases	No	Custom quote	4.5/5
Oracle Audit Vault and Database Firewall	Database auditing, SQL firewall, threat detection, compliance reporting	On-premises and cloud	Database activity monitoring and SQL traffic protection	No	Custom quote	N/A
Microsoft Defender for SQL	Vulnerability assessment, threat detection, security alerts	Azure cloud	Protecting Azure SQL environments	No	Usage-based Azure pricing	N/A
DataSunrise	Database firewall, activity monitoring, masking, sensitive-data discovery	Cloud and on-premises	Database protection and real-time monitoring	No	Custom quote	4.3/5
Satori Data Security Platform	Data discovery, access governance, dynamic masking, policy enforcement	Cloud and hybrid	Data access governance and secure analytics	No	Custom quote	4.7/5
Thales CipherTrust Data Security Platform	Database encryption, tokenization, key management, data discovery	Cloud, hybrid, and on-premises	Enterprise data protection and encryption	No	Custom quote	N/A
Idera SQL Compliance Manager	SQL Server auditing, activity monitoring, compliance reporting	Self-hosted	SQL Server auditing and compliance	No	Custom quote	4.4/5
Varonis Data Security Platform	Data discovery, classification, access analysis, threat detection	Cloud and hybrid	Sensitive-data exposure and access risk management	No	Custom quote	4.6/5

Leading Database Security Platforms to Consider in 2027

Database security products address different layers of data protection. The tools below include enterprise monitoring platforms, database firewalls, cloud-native security services, access governance solutions, and encryption technologies.

Here are nine database security tools worth evaluating in 2027, along with their core capabilities and the environments they are designed to protect.

#1. IBM Guardium

IBM Guardium provides enterprise data security capabilities for organizations managing sensitive information across hybrid cloud environments, databases, mainframes, and other data platforms. Its product portfolio includes Guardium Data Protection, Guardium Vulnerability Assessment, Guardium Data Detection and Response, and Discovery and Classify. Together, these products help security teams identify sensitive data, monitor access, assess vulnerabilities, and investigate potential threats.

Guardium Data Protection focuses on database activity monitoring, policy enforcement, and compliance. It tracks database access and user activity, helping organizations identify suspicious operations and maintain audit evidence. Guardium Vulnerability Assessment evaluates database configurations and security weaknesses, while Discovery and Classify helps locate sensitive information across different environments. The product portfolio allows enterprises to address several database security requirements through connected capabilities.

IBM Guardium is particularly relevant to organizations with complex database estates and strict compliance requirements. It supports integrations with cloud and on-premises data stores, security platforms, and ticketing systems. However, its modular product structure means organizations should evaluate individual Guardium components carefully instead of assuming every capability is included in one package.

Key Features

• Database activity monitoring: Track database access, user operations, and policy changes to identify potentially unauthorized activity.
• Vulnerability assessment: Evaluate database configurations and security weaknesses to help teams prioritize remediation.
• Sensitive-data discovery: Locate and classify sensitive information across supported on-premises and cloud environments.
• Threat detection and response: Analyze database activity and security events to help investigate and respond to potential threats.
• Compliance management: Use predefined policies, tagging, workflows, and audit evidence to support regulatory requirements.
• Hybrid environment coverage: Connect data stores and security systems across cloud, on-premises, and other enterprise environments.

G2 Rating: N/A

#2. Imperva Data Security Fabric

Imperva Data Security Fabric provides data security capabilities for organizations that need visibility and protection across distributed database environments. Its platform focuses on discovering sensitive data, assessing exposure, monitoring activity, and applying security controls. This helps security teams understand where important information resides and how users and applications interact with it.

The platform includes capabilities for database activity monitoring, sensitive-data discovery, vulnerability assessment, and data protection. Teams can use these functions to identify exposed databases, examine access patterns, and investigate potential security risks. Imperva also provides data protection capabilities such as masking and policy-based controls, depending on the selected product and deployment.

Imperva is a suitable option for enterprises managing databases across cloud, hybrid, and on-premises environments. Its broader data security approach can help organizations consolidate visibility across different data stores instead of relying on isolated database monitoring systems. The platform is commercially licensed, and organizations generally need to contact Imperva for pricing based on their requirements.

Key Features

• Sensitive-data discovery: Identify databases and locate sensitive information to understand where important data is stored.
• Database activity monitoring: Track database operations and access patterns to investigate suspicious user or application behavior.
• Security assessment: Identify database vulnerabilities and configuration risks that could expose sensitive information.
• Data protection: Apply supported security controls, including masking and other data protection capabilities, to reduce exposure.
• Centralized visibility: Review security information across distributed data environments through a unified platform.
• Compliance support: Use monitoring and audit information to help demonstrate data security controls and support compliance activities.

G2 Rating: 4.5/5

#3. Oracle Audit Vault and Database Firewall

Oracle Audit Vault and Database Firewall (AVDF) combines database activity auditing, SQL traffic monitoring, and security controls to help organizations protect sensitive database environments. It collects audit information from Oracle and supported non-Oracle databases, operating systems, directories, and other sources. This gives security and compliance teams a centralized view of database activity and helps them investigate access to sensitive information.

Its Database Firewall inspects SQL traffic to identify unauthorized statements and potential SQL injection attempts. Depending on configured policies, the firewall can alert on suspicious activity or block selected SQL operations. AVDF also provides security assessments, entitlement monitoring, sensitive-data discovery, and audit policy management. These capabilities help organizations understand database configurations and track changes to user privileges.

AVDF is particularly relevant to enterprises that need detailed database auditing and SQL traffic protection. It integrates closely with Oracle Database technologies while supporting selected non-Oracle platforms. Organizations can use its reporting and alerting capabilities to support compliance audits and security investigations. Pricing is enterprise-oriented and typically requires contacting Oracle.

Key Features

• Database activity auditing: Collect and review database activity, including user operations, privileged access, and changes to sensitive information.
• Database firewall: Inspect SQL traffic and detect or block unauthorized statements, including potential SQL injection attempts.
• Security assessments: Evaluate database configurations and track deviations from defined security baselines.
• Sensitive-data discovery: Identify sensitive information and its location to support monitoring and security policy decisions.
• User entitlement monitoring: Track database privileges and identify changes that could introduce excessive or unauthorized access.
• Compliance reporting: Generate audit reports and policy-based alerts to support security investigations and regulatory requirements.
• SIEM integration: Connect audit and security information with external security monitoring systems for broader investigation workflows.

G2 Rating: N/A

#4. Microsoft Defender for SQL

Microsoft Defender for SQL provides database security capabilities through Microsoft Defender for Cloud. It helps organizations identify vulnerabilities and detect suspicious activity in supported Azure SQL environments. Rather than requiring a separate database security platform, teams can enable the Defender plan through Azure and manage database protection from the cloud security environment.

Its SQL Vulnerability Assessment capability evaluates database configurations and identifies issues such as excessive permissions, insecure settings, and other deviations from recommended security practices. Advanced Threat Protection monitors database activity for suspicious patterns and can generate alerts related to potential SQL injection attacks, anomalous access, and other threats. Security teams can review findings and follow remediation recommendations to improve database protection.

Microsoft Defender for SQL is particularly suitable for organizations running Azure SQL Database, Azure SQL Managed Instance, and supported Azure Synapse Analytics environments. It also integrates with Azure security management and automation capabilities. Its pricing follows Microsoft Defender for Cloud’s applicable pricing model, so the overall cost depends on the protected resources and selected configuration.

Key Features

• SQL vulnerability assessment: Scan supported Azure SQL environments for security weaknesses, misconfigurations, and excessive permissions.
• Advanced threat protection: Detect suspicious database activity and generate alerts for potentially harmful access patterns.
• SQL injection detection: Identify activity that may indicate SQL injection attempts against supported database environments.
• Security recommendations: Provide actionable remediation guidance to help teams address identified database vulnerabilities.
• Azure integration: Manage database security settings through Microsoft Defender for Cloud and supported Azure management tools.
• Subscription-level protection: Enable Defender for SQL across eligible databases within an Azure subscription rather than configuring each database individually.

G2 Rating: N/A

Also Read: Best Microsoft Defender Alternatives and Competitors in 2026

#5. DataSunrise

DataSunrise provides database security capabilities through sensitive-data discovery, database activity monitoring, firewall protection, and data masking. It is designed to protect information across different database environments, including cloud-hosted and on-premises systems. Security teams can use the platform to understand where sensitive data resides, monitor how it is accessed, and apply controls to reduce unauthorized exposure.

The platform supports multiple database security workflows. Its monitoring capabilities capture database sessions, queries, and operations for investigation and audit purposes. The database firewall can inspect live database traffic and apply rules to block risky operations, while dynamic data masking helps conceal sensitive values based on configured policies. DataSunrise also provides static masking and encryption capabilities for supported environments.

DataSunrise is useful for organizations that need database-level protection across different database engines rather than a security service tied to a single cloud provider. Its deployment options include proxy-based monitoring, passive traffic capture, native audit collection, and other supported methods. Teams should evaluate the appropriate deployment approach because active blocking and masking require different configurations from passive monitoring.

Key Features

• Database activity monitoring: Capture database sessions, queries, and operations to investigate access patterns and maintain audit records.
• Database firewall: Inspect database traffic and apply security rules to detect or block unauthorized operations.
• Dynamic data masking: Hide sensitive values from users based on configured access policies without changing the underlying stored data.
• Sensitive-data discovery: Locate and classify sensitive information across supported databases and connected data environments.
• Static data masking: Replace sensitive information in non-production environments to reduce exposure during development and testing.
• Encryption capabilities: Apply supported encryption controls to protect sensitive database information at rest.
• Compliance reporting: Generate audit trails and reports to support security investigations and regulatory requirements.

G2 Rating: 4.3/5

#6. Satori Data Security Platform

Satori Data Security Platform focuses on data access governance and protection across databases, data warehouses, and analytics environments. It helps organizations discover sensitive information, manage user permissions, and enforce access policies through a centralized platform. Instead of managing database access separately across multiple systems, teams can use Satori to coordinate security controls and provide users with governed access to approved data.

The platform provides automated data discovery and classification, allowing security teams to identify sensitive information and understand how it is being accessed. Its access governance capabilities include fine-grained permissions, just-in-time access, and dynamic data masking. These controls help organizations apply least-privilege principles while allowing authorized users to access the information they need for analytics and business operations.

Satori is particularly relevant to organizations using multiple cloud databases and data platforms. Its personal data portal supports self-service access requests, while centralized policy management helps security teams maintain consistent controls. The platform is commercially licensed, and pricing is generally provided through a vendor quote. Organizations should verify compatibility with their specific database and analytics platforms before deployment.

Key Features

• Automated data discovery: Discover data assets and identify sensitive information across supported databases and analytics environments.
• Data classification: Classify sensitive information to help security teams understand exposure and apply appropriate protection policies.
• Access governance: Manage user permissions and apply centralized access policies across connected data platforms.
• Just-in-time access: Provide authorized users with controlled access when required instead of relying on permanent broad permissions.
• Dynamic data masking: Hide sensitive information based on user permissions and configured security policies.
• Self-service data portal: Allow users to discover available datasets and request access through a centralized interface.
• Activity visibility: Track data usage and access events to support governance and security investigations.

G2 Rating: 4.7/5

#7. Thales CipherTrust Data Security Platform

Thales CipherTrust Data Security Platform provides data-centric security capabilities for organizations that need to protect sensitive information across databases, applications, and cloud environments. Its approach combines data discovery, classification, encryption, tokenization, masking, and centralized key management. This allows organizations to protect information at different stages, including when it is stored in databases or accessed by applications.

The platform includes CipherTrust Database Protection for securing sensitive database information through encryption and granular controls. It also supports tokenization and data masking to reduce exposure of confidential values. Centralized key management helps organizations control encryption keys across supported environments, while discovery and classification capabilities help identify sensitive data that requires additional protection.

CipherTrust is particularly useful for enterprises with encryption, privacy, and compliance requirements across hybrid infrastructure. It supports database protection alongside broader data security use cases, including cloud migration and application-level protection. Because its capabilities are offered through different product components, organizations should confirm which modules are required for their database engines and security policies. Pricing is available through a vendor quote.

Key Features

• Database encryption: Protect sensitive database information through supported encryption technologies and database protection components.
• Centralized key management: Manage encryption keys and their lifecycle across supported database, application, and cloud environments.
• Data discovery and classification: Identify sensitive information across databases and other data repositories to prioritize protection.
• Tokenization: Replace sensitive values with tokens to reduce the exposure of original information in supported workflows.
• Dynamic data masking: Conceal sensitive information based on configured policies and access requirements.
• Static data masking: Create desensitized datasets for non-production environments while reducing the exposure of real customer information.
• Access controls: Apply granular controls to help restrict access to protected data and sensitive resources.

G2 Rating: N/A

Also Read: Best Thales Alternatives and Competitors in 2026

#8. Idera SQL Compliance Manager

Idera SQL Compliance Manager focuses on auditing and monitoring Microsoft SQL Server environments. It tracks database activity, changes to database objects, and access to sensitive information, helping organizations understand who performed an operation and when it occurred. This makes it particularly relevant to teams that need detailed SQL Server auditing for internal security and regulatory compliance.

The platform monitors SQL Server activity and provides alerts for selected events and suspicious operations. Database administrators can configure auditing policies to track activities such as logins, permission changes, schema modifications, and access to sensitive data. Its reporting capabilities help teams review audit records and prepare evidence for compliance requirements such as GDPR, SOX, PCI DSS, and HIPAA.

Unlike broader database security platforms that support multiple database engines, SQL Compliance Manager is focused on Microsoft SQL Server. This narrower scope can be useful for organizations that operate primarily within the Microsoft database ecosystem and need dedicated auditing and compliance controls. It is a commercial product, and pricing should be confirmed directly with Idera.

Key Features

• SQL Server auditing: Track database activity, including logins, object changes, and access to sensitive information.
• Activity alerts: Configure alerts for selected database events and suspicious operations that require administrator attention.
• Compliance reporting: Generate reports that help organizations document database activity and support regulatory audits.
• Change tracking: Monitor changes to SQL Server objects and data to maintain a record of database modifications.
• Privileged-user monitoring: Review activities performed by administrators and other users with elevated database permissions.
• Audit policy configuration: Define which database activities and events should be captured to align monitoring with organizational requirements.

G2 Rating: 4.4/5

#9. Varonis Data Security Platform

Varonis Data Security Platform focuses on discovering sensitive information, analyzing access permissions, and reducing data exposure across enterprise environments. Its database activity monitoring capabilities help organizations understand how users and applications interact with sensitive database information. The platform connects data access with identity context, allowing security teams to investigate suspicious behavior and identify excessive permissions.

Varonis provides data discovery and classification to locate sensitive information across supported databases, cloud services, and other data repositories. Its access analysis capabilities help identify users with unnecessary permissions, stale accounts, and overexposed data. The platform also uses behavioral analytics to identify unusual access patterns and potential insider threats. Automated remediation can help security teams revoke excessive permissions and apply protection policies.

Varonis is suitable for organizations that need broader data security visibility rather than database monitoring alone. It can help security teams understand data exposure across multiple repositories and prioritize remediation based on sensitivity and access risk. Its database security capabilities should be evaluated alongside the platform’s wider data security features, as coverage and available controls depend on the connected environment and selected modules. Pricing is custom.

Key Features

• Sensitive-data discovery: Locate and classify sensitive information across supported databases, cloud services, and other data repositories.
• Database activity monitoring: Track access to sensitive database information and connect activity with user identities.
• Access analysis: Identify excessive permissions, stale access rights, and users who can reach sensitive information unnecessarily.
• Behavioral analytics: Analyze user and data activity to identify unusual access patterns and potential insider threats.
• Automated remediation: Help reduce exposure by revoking excessive permissions and applying supported security policies.
• Security posture management: Identify risky configurations and assess data exposure against security and compliance requirements.
• Audit visibility: Maintain records of data access and security activity to support investigations and compliance workflows.

G2 Rating: 4.6/5

Conclusion

Database security tools help organizations protect sensitive information by combining access governance, activity monitoring, vulnerability assessment, encryption, and threat detection. As databases become more distributed across cloud and on-premises environments, these capabilities help security teams maintain visibility and enforce consistent protection policies.

IBM Guardium and Imperva Data Security Fabric are worth evaluating for enterprise environments that need broad monitoring and data protection. Oracle Audit Vault and Database Firewall provides detailed database auditing and SQL traffic controls, while Microsoft Defender for SQL is a natural option for organizations running supported Azure SQL services. DataSunrise combines monitoring, firewall protection, and masking, whereas Satori focuses on governed data access across modern data platforms.

For encryption and sensitive-data protection, Thales CipherTrust offers database protection and centralized key management. Idera SQL Compliance Manager is a focused choice for SQL Server auditing, while Varonis provides broader visibility into sensitive-data exposure and access risks.

The best tool depends on your database architecture, security priorities, compliance obligations, and existing infrastructure. Evaluate database compatibility and the specific capabilities included in each product before selecting a platform.

Tool	Best Use Case
IBM Guardium	Enterprise database security, monitoring, and compliance
Imperva Data Security Fabric	Security visibility and protection across distributed databases
Oracle Audit Vault and Database Firewall	Database auditing and SQL traffic protection
Microsoft Defender for SQL	Vulnerability assessment and threat detection for Azure SQL
DataSunrise	Database activity monitoring, firewall protection, and data masking
Satori Data Security Platform	Data access governance and dynamic masking
Thales CipherTrust Data Security Platform	Database encryption, tokenization, and key management
Idera SQL Compliance Manager	SQL Server auditing and compliance reporting
Varonis Data Security Platform	Sensitive-data discovery and access risk management

Frequently Asked Questions

1. What are database security tools?

Database security tools protect information stored in databases by controlling access, monitoring user activity, identifying vulnerabilities, and applying security measures such as encryption and data masking. They help organizations reduce unauthorized access, detect suspicious operations, and maintain visibility into sensitive data.

2. What are the best database security tools in 2027?

Leading database security platforms in 2027 include IBM Guardium, Imperva Data Security Fabric, Oracle Audit Vault and Database Firewall, Microsoft Defender for SQL, DataSunrise, Satori Data Security Platform, Thales CipherTrust, Idera SQL Compliance Manager, and Varonis. These platforms address different security needs, from database activity monitoring and threat detection to encryption, access governance, and compliance.

3. What are some free database security tools available?

Free database security options include database-native security capabilities and open-source projects such as pgAudit and Greenmask. PostgreSQL also provides built-in access controls and row-level security features. Some commercial vendors offer free trials or limited cloud allowances, but these should not be confused with fully free security platforms.

4. What are some open-source database security tools?

Some open-source database security tools and projects include:

• pgAudit: A PostgreSQL extension that provides detailed session and object auditing.
• Greenmask: An open-source tool for generating anonymized and masked PostgreSQL-compatible data.
• PostgreSQL Row-Level Security: A built-in PostgreSQL capability that restricts which rows users can access through policies.
• Open-source database-native controls: Database platforms such as PostgreSQL and MySQL Community provide access control, authentication, and other security features.

These projects address specific security requirements and do not provide the same broad enterprise capabilities as platforms such as IBM Guardium or Imperva.

5. What is the difference between database security and database activity monitoring?

Database security covers the broader set of controls used to protect databases, including access management, encryption, vulnerability assessment, auditing, and threat prevention. Database activity monitoring focuses specifically on tracking database operations, user sessions, queries, and access patterns to identify suspicious or unauthorized behavior. Activity monitoring is one component of an overall database security strategy.

6. How do database security tools detect threats?

Database security tools analyze database activity, user behavior, access patterns, SQL statements, and security configurations to identify suspicious events. Depending on the platform, detection methods may include rule-based alerts, anomaly detection, behavioral analytics, and SQL traffic inspection. Security teams can use the resulting alerts to investigate and respond to potential threats.

7. What is database activity monitoring?

Database activity monitoring (DAM) tracks and records operations performed against a database. It can capture user logins, queries, data access, schema changes, and privileged activities. DAM tools help organizations investigate suspicious behavior, maintain audit trails, and support compliance requirements.

8. What is the role of data masking in database security?

Data masking replaces or hides sensitive information so unauthorized users cannot view its original values. Dynamic data masking changes what users see when they query a database, based on configured policies, while static data masking creates a modified copy of a dataset. Organizations commonly use masking to protect personal and financial information in development, testing, and analytics environments.

9. Which database security tools support multiple database platforms?

IBM Guardium, Imperva Data Security Fabric, DataSunrise, Oracle Audit Vault and Database Firewall, and Thales CipherTrust provide capabilities for multiple database environments. However, supported database engines and available features vary by product and edition. Organizations should confirm compatibility with their specific database versions and deployment models.

10. Which database security tool is best for SQL Server?

Microsoft Defender for SQL is a suitable option for supported Azure SQL environments, while Idera SQL Compliance Manager focuses specifically on SQL Server auditing and compliance. IBM Guardium, Imperva, and DataSunrise can also be considered when organizations need broader database security capabilities across multiple platforms.

11. What is the difference between database encryption and data masking?

Database encryption transforms information into an unreadable format using cryptographic keys, protecting data from unauthorized access. Data masking replaces or conceals sensitive values so users see modified information instead of the original data. Encryption is primarily used to protect stored or transmitted data, while masking is often used to limit exposure during application access, testing, and analytics.

12. How do database security tools help with regulatory compliance?

Database security tools support compliance by monitoring database access, recording user activity, identifying security weaknesses, and generating audit reports. They can help organizations demonstrate controls relevant to frameworks and regulations such as GDPR, HIPAA, PCI DSS, and SOX. However, using a security tool alone does not guarantee regulatory compliance; organizations must configure and operate the controls appropriately.

13. What should organizations look for in a database security solution?

Organizations should evaluate database compatibility, activity monitoring, vulnerability assessment, access governance, encryption, data masking, alerting, and compliance reporting. Deployment options, integration with existing security systems, scalability, and licensing are also important. The most suitable platform is one that addresses the organization’s actual database risks without introducing unnecessary complexity.