Database Security: Top Threats and 6 Critical Defenses
Database Security: Top Threats and 6 Critical Defenses
What is Database Security?
Database security, a subset of data security, consists of security controls, tools, and countermeasures that can protect a database from malicious attacks. It encompasses the protection of the data itself, the database management systems that manage the data, and applications that access and use the data. The end goal is to protect confidentiality, integrity, and availability (CIA) of company information.
Many organizations fail to realize that databases are a critical security risk. In many security breaches, the main goal of the attackers is to gain access to databases to steal a large volume of sensitive information.
Many attack techniques, such as SQL injection, are specially designed to compromise database systems, and attackers continue to devise new methods to breach databases and steal organizational data. Any organization must ensure that its databases are ready to withstand attacks.
A defense in-depth approach is essential, where the organization deploys security defenses to protect the network, prevent access to databases, and also hardens the database itself in case attackers manage to directly access it.
Database Security Threats and Vulnerabilities
Here are common security threats and vulnerabilities organizations should watch out for:
| Threat | Causes |
|---|---|
| SQL injection | Occurs when threat actors inject malicious code into web-based frontend applications. The code can pass to a backend database and provide threat actors with access to all data stored in the database. |
| Denial of Service (DoS) | DoS attacks can slow down the database server or make it unavailable to end-users. The result is poor user experience and significantly high costs in bringing the database back up. |
| Database misconfigurations | Threat actors actively look for misconfigurations to exploit. Databases running with default settings are particularly useful to threat actors, making it easier to hack into these accounts. |
| Poorly managed sensitive data | Sensitive data is the bread and butter of organizations as well as cybercriminals. Unfortunately, many organizations do not properly secure their sensitive information, exposing it to attacks. |
| Weak audit trails | Many regulatory entities require organizations to record and register database events automatically. Keeping track of these events provides an audit trail that enables security teams, database administrators, and external auditors to investigate to ensure the data stored within the database is properly protected. |
6 Database Security Best Practices to Defend Your Organization
Here are a few best practices organizations can use to protect databases from cyber attacks.
1. Harden Database Management Systems
Database hardening is the process of analyzing and configuring a database to address security vulnerabilities by applying security best practices. The purpose of hardening a database is to protect database systems, including software and hardware components, against cyberattacks. A key part of hardening is to eliminate vulnerabilities by reducing the attack surface of the system. An organization can reduce the attack surface by eliminating redundant features, enabling security settings, and creating a secure baseline for a database system.
2. Database Activity Monitoring
Database auditing is used to put a heavy strain on performance. Many organizations reduced detail in logs to improve operational efficiency. Fortunately, today all major database platforms provide robust, scalable monitoring and logging, which allows you to collect a full audit trail even for demanding production databases.
3. Encrypt Sensitive Data
Encryption is a critical best practice for database security. Businesses should use strong encryption to protect their databases in three ways:
- Transport layer security (TSL) encryption should be mandatory for all database connections to protect data in transit.
- Disk encryption for storage devices used by databases to prevent loss, theft, and improper disposal.
- Column-level encryption to protect the most sensitive data fields within a database table.
4. Perform Vulnerability and Configuration Assessments
To test database security controls, IT security and compliance teams should perform ongoing assessments through regular vulnerability and configuration audits. These audits provide actionable information about known vulnerabilities experienced by the database management system, the underlying operating system, or any integrated component.
5. Enforce the Principle of Least Privilege
A basic concept of network security is to restrict a user’s access to the minimum set of privileges required to perform their task. Organizations must determine to what degree their network access rules comply with this principle, putting special emphasis on corporate databases.
6. Establish Security and Compliance Policies
Without clearly defined security policies and standards, it will be difficult for an organization to assess compliance and measure progress. Companies should establish robust policies with specific details about how to secure databases. Security and compliance teams need to determine how often policies are updated, who is responsible for the updates, and why they are triggering policy changes.
Database Security Tools and Platforms
There is a wide variety of data security tools on the market. Here are key capabilities offered by database security solutions:
- Discovery—identifying all the databases that exist on the network. This is required to comply with several standards and regulations.
- Vulnerability assessment—scan and prioritize vulnerabilities in all databases, and provide actionable remediation guidance.
- Database activity monitoring—establishing an audit trail of all database activity, and monitoring databases in real-time.
- Policies and compliance reports—defining rules and policies using a convenient interface. Based on these policies, the solution should be able to automatically generate reports needed for compliance audits.
- Data encryption and tokenization—encrypting data at the file, volume, and application level, with the ability to anonymize or mask specific data within a database table.
- Risk analysis and exploration—leveraging threat intelligence and historical data analysis to identify usage patterns that might indicate security threats.