5 Ways to Avoid High Data Loss Litigation Fines
Headlines related to significant cases of data loss are appearing with ever increasing frequency. Many of these high-profile stories involve perpetrators gaining inappropriate access to some form of corporate or consumer financial data, primarily credit or debit card information. Yet, in a growing number of litigation cases, significant fines have been imposed by the court when litigants were unable to produce certain forms of data or validate that their IT infrastructure was appropriately and securely configured to prevent the loss of that data.
Corporations are left to face the unenviable task of retaining more and more sensitive corporate and personal data to respond to potential future litigation, while having to ensure they can effectively protect this data from ongoing internal and external security threats, while also meeting corporate and industry regulatory standards.
In this webinar, Sunil Bhargava, Chief Technology Officer with Intellitactics, a leading provider of appliances and software for enterprise security information and event management (SIEM) and Ecora Software, the leader in enterprise configuration audit and compliance reporting, share how combining security event analysis with detailed configuration audit reporting can provide companies with the collective insight to retain necessary data, while effectively addressing system vulnerabilities that could compromise sensitive corporate and customer data and lead to significant litigation fines related to the loss of that data.
You will learn to:
- Identifying where data is stored in your systems
- Assessing the risks associated with the infrastructure surrounding your data
- Controlling data by correlating events to how your systems are configured
- Finding and correcting potential vulnerabilities before data is breached or improperly discarded
- Protecting access to your stored data by automating the reporting of current access rights and the appropriate termination of former employees and subcontractors
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