Computer Weekly feature: Developing innovative security analytics approaches in the digital age Security Boulevard
PCI Pal has recently featured on the Computer Weekly magazine website. With security threats growing in scale and complexitty, security analytics provide a …
Microsoft has doubled down on its love for open source by bringing SQL Server 2017 to Linux, and it seems this support can help lighten the load for enterprises that already have in-house Linux expertise but also a need for SQL’s functionality.
While it’s not available until later this year, an early adopter has found a significant upside to the new support for Linux.
dv01, a software firm that makes a reporting and analytics platform to give financial institutions insight into consumer lending, has jumped the line and is running SQL Server 2017 on Linux rather than Windows for some of its workloads.
MORE: Microsoft SQL Server on Linux – YES, Linux!
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Digital technologies have changed the face of business and government, and they will continue to do so at an even faster pace. They drive innovation, boost productivity, improve communications and generate competitive advantage, among other benefits.
The dark side of this digital revolution has now come clearly into focus as well: McKinsey estimates that cyber attacks will cost the global economy $ 3 trillion in lost productivity and growth by 2020, while theft, sabotage and other damage inflicted by trusted insider personnel continue to cost organizations in lost revenues, revealed secrets and damaged reputations.
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If I’ve heard it once, I’ve heard it one thousand times. Traditional security controls are no longer effective at blocking cyber-threats so enterprise organizations are deploying new types of security defenses and investing in new tools to improve incident detection and response.
Unfortunately, this can be more difficult than it seems. Why? Effective Incident detection and response depends upon security analytics technology and this is where the confusion lies. It turns out that there are lots of security analytics tools out there that approach this problem from different angles. Given this reality, where the heck do you start?
Based upon lots of qualitative and quantitative research, I’m finding that many large organizations with experienced security teams tend to jump into security analytics by focusing their effort on the network for several reasons:
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