Organizations struggle with too many data loss prevention alerts
A new report finds 78 percent of organizations report being challenged by administering and maintaining existing data loss prevention technology solutions and policies, and 94 percent report using at least two tools and, on average, more than three tools with DLP capabilities, resulting in significant man-hours to administer and maintain multiple solutions.
The study from DLP specialist MIND and Enterprise Strategy Group also shows 91 percent of organizations say it's important to reduce alert noise produced by their current DLP controls due to simple, poor and outdated classification schemes.
What happens when data observability meets unstructured data? [Q&A]
In DevOps and IT circles, the word 'observability' has been bandied about for the past few years. Observability is one of those hot and trendy terms which also means different things to different people.
Yet the goal is generally the same: how can we observe our environment and then proactively and even automatically make fixes to things that aren't working, are anomalous, suspicious and/or could potentially cause a disastrous outcome? Such outcomes could include a network failure, a security breach, a server reaching capacity, or in the unstructured data management world -- something else entirely.