With the application economy in full swing, more organizations are turning to Continuous Testing and DevOps development practices in order to quickly roll out applications that reflect the ever-changing needs of tech-savvy, experience-driven consumers.
Rigorous data they need, in the right formats. This forces teams to postpone their testing until the next sprint. As a result, organizations like yours are increasingly looking for ways to overcome the challenges of poor quality data and slow, manual data provisioning. They are also concerned about compliance and data privacy when using sensitive information for testing. CA Test Data Manager can help you mitigate all these concerns, so you’re positioned to achieve real cost savings.
The attacks continue. The breaches occur. Penalties are assessed. While most universities manage to keep pace with the latest digital trends, they have been far less timely when it comes defending their networks and sensitive data against the latest targeted attacks and threats. This lack of protection is evident as recent headlines expose costly data breaches of student records and research, state and federal compliance violations, and a raft of other privacy and security issues that put students, alumni, staff, and the institutions themselves at considerable risk.
All enterprises dealing with private data in test environments should mask or generate test data to comply with regulations such as Payment Card Industry (PCI), the Health Insurance Portability and Accountability Act (HIPAA), Sarbanes-Oxley (SOX), and European Union (EU) as well as to protect against internal and external attacks.
The path to creating a secure application begins by rigorously testing source code for all vulnerabilities and ensuring that use of the application does not compromise or allow others to compromise data privacy and integrity.
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
Recent regulatory additions require that companies take proactive measures like penetration testing to enforce data privacy and integrity. By deploying a distributed model companies can execute testing from different security levels which is important in challenging posture based on level of access.