Tag Archives: Business Impacts/ Benefits
- A loss of customer trust
- Revenue shortfalls
- A plummeting stock price
- C-level executives losing their jobs
As a result, Data security and privacy has become a key topic of discussion, not just in IT meetings, but in the media and the boardroom.
Preventing access to sensitive data has become more complex than ever before. There are new potential entry points that IT never previously considered. These new options go beyond typical BYOD user devices like smartphones and tablets. Today’s entry points can be much smaller: Things like HVAC controllers, office polycoms and temperature control systems.
So what can organizations do to combat this increasing complexity? Traditional data security practices focus on securing both the perimeter and the endpoints. However, these practices are clearly no longer working and no longer manageable. Not only is the number and type of devices expanding, but the perimeter itself is no longer present. As companies increasingly outsource, off-shore and move operations to the cloud, it is no longer possible fence the perimeters and to keep intruders out. Because 3rd parties often require some form of access, even trusted user credentials may fall into the hands of malicious intruders.
Data security requires a new approach. It must use policies to follow the data and to protect it, regardless of where it is located and where it moves. Informatica is responding to this need. We are leveraging our market leadership and domain expertise in data management and security. We are defining a new data security offering and category. This week, we unveiled our entry into the Data Security market at our Informatica World conference. Our new security offering, Secure@Source™ will allow enterprises to discover, detect and protect sensitive data.
The first step towards protecting sensitive data is to locate and identify them. So Secure@Source™ first allows you discover where all the sensitive data are located in the enterprise and classify them. As part of the discovery, Secure@source also analyzes where sensitive data is being proliferated, who has access to the data, who are actually accessing them and whether the data is protected or unprotected when accessed. Secure@Source™ leverages Informatica’s PowerCenter repository and lineage technology to perform a first pass, quick discovery with a more in depth analysis and profiling over time. The solution allows you to determine the privacy risk index of your enterprise and slice and dice the analysis based on region, departments, organization hierarchy, as well as data classifications.
The longer term vision of Secure@Source™ will allow you to detect suspicious usage patterns and orchestrate the appropriate data protection method, such as: alerting, blocking, archiving and purging, dynamically masking, persistently masking, encrypting, and/or tokenizing the data. The data protection method will depend on whether the data store is a production or non-production system, and whether you would like to de-identify sensitive data across all users or only for some users. All can be deployed based on policies. Secure@Source™ is intended to be an open framework for aggregating data security analytics and will integrate with key partners to provide a comprehensive visibility and assessment of an enterprise data privacy risk.
Secure@Source™ is targeted for beta at the end of 2014 and general availability in early 2015. Informatica is recruiting a select group of charter customers to drive and provide feedback for the first release. Customers who are interested in being a charter customer should register and send email to SecureCustomers@informatica.com.
If you haven’t been following along, in my previous posting I reviewed the Data Quality Positioning Gap as a non-traditional challenge to achieving data quality success. In this post, I will discuss the Perception Gap.
The Data Quality Perception Gap
Assuming we have properly met the challenges associated with customer expectations and solution positioning, chances are that our customer’s are still not “buying” because of the fifth non-traditional challenge…….data quality solutions are perceived as theoretical or impractical. Often times, data quality solutions appear to boil the ocean and our customers become overwhelmed with the scope and complexity or rightfully dubious of the likelihood of success. While this may not be readily apparent from the customer’s objections or from their rationale for why not to proceed, it is a leading reason why data quality solutions never see the light of day. In order to win our customers’ confidence and their business, we need to be viewed as a data quality expert. Proposing solutions that strain credulity calls this expertise into question. (more…)