In recent years, Databases have become one of the most compromised assets. The rationale behind why databases are under attack frequently is that the databases contain vital client records and other sensitive organization data.
When malicious insiders and hackers gain access to organization’s sensitive and confidential data, they can instantly extract value, inflict damage or impact activities of the business. Besides affecting the reputation of the business and causing, data breaches can also result in fines, legal fees, and regulatory violations.
The threats outlined here apply to traditional databases and Big Data technologies as well.
Misuse of Vulnerable and Wrongly configured Databases
It is easy to discover databases that are Un-patched, vulnerable or databases that have default configuration parameters and accounts. Malicious attackers misuse these shortcomings and instigate attacks against your system. Even though patches are available, but organizations still face difficulties in maintaining configurations of database very often.
The most common problems consist of increasing backlogs and load of work for the joint database administrators, complicated and unproductive specifications for testing patches. The outcome is that it usually takes months to patch databases, throughout this time they remain exposed.
Inadequate Security Expertise
Many enterprises are not well-equipped to cope with a security breach as the internal security controls are not harmonizing with the growth of data. Many a time this is because of the inadequate expertise needed to employ security controls, implement policies, or carry out incident response procedures. The main reason for the majority of data security breaches is the “human factor” that is a careless member of staff or contractor.
Weak Audit Trail
The programmed recording of database activities containing sensitive and confidential data must be an element of every database operation. Inadequacy to compile thorough audit records of database operations signifies a severe organizational data security threat on various levels.
Corporate networks with weak database audit devices will frequently discover that they are opposing government and industry regulatory requirements. For instance, SOX (Sarbanes-Oxley), which guards against fraudulent practices and accounting errors, and the HIPAA (Healthcare Information Portability and Accountability Act), are merely two examples of the set of laws with apparent requirements of database audit. Audit competencies and tasks should preferably be independent of both database server platform and database administrators to guarantee high division of duties policies.