Data from multiple sources and various associated data services/applications all need to come together in real-time. As a result of orchestration, data policies and service levels can be better defined through automated workflows, provisioning, and change management. Critical data management processes can also be automated, including data creation, cleansing, enrichment and propagation across systems.
Trying to predict how many Internet of Things (IoT) devices will go online over the next decade is like trying to predict the growth rate of rabbits in the wild. It suffices to say that 2017 could be the year in which IoT devices exceed the total human population, based on a Gartner forecast of 8.4 billion IoT connected devices, or one device for each of the 7.5 billion people, plus just under a billion more to spare.
Data is increasingly becoming the currency of the global digital economy. And, it is the direct, private data exchange between and among businesses that is driving global economic growth. For enterprises to monetize their data and extract the most value from it, they must re-think their data architectures to find the best ways to aggregate, exchange and manage data at the edge—and at scale.
Enterprise security has become infinitely more difficult to achieve. Cybercrime is growing at the same pace and sophistication as evolving technologies within digital business, including those undisclosed computer-software (“Zero-day”) vulnerabilities in systems, applications, data and networks that hackers love to exploit.
The IOA Security Blueprint Identity and Key Management Security Design Pattern provides a step-by-step strategy for gaining greater control over security functions by deploying local, vendor-neutral identity and encryption key management services.
One of the most critical factors to consider before enterprises undergo a digital transformation journey – one that involves the consolidation of their data center assets – is how to build an Interconnection strategy. This enables them to build business capabilities around their partner ecosystems to deliver services to their users and end-customers.
Digital business, mobile computing and cloud technology have pushed much of enterprise computing outside the corporate data center, transforming what was once a single, well-defined enterprise perimeter into multiple, geographically dispersed digital edges with boundaries that must be secured.
When thinking about virtualization’s impact on security, it is important to consider both the downside (“What new threats does it expose me to?”) and the upside (“How can I use it to my advantage?”). The answer depends on your implementation. And don’t forget interconnection.
The best way to achieve public, private, hybrid and multicloud interconnection is to first leverage smaller, distributed, connected data centers at the digital edge.
Interestingly DDoS attacks have moved beyond the simple large volume attacks of yore to sophisticated, dynamic combinations of stealthy multi-vector application-level attacks and even campaigns of attacks that morph while they’re in progress. This requires a multi-layered approach to your DDoS security that includes on-premises, in-line protection and intelligent communication with your ISP or MSP, so it knows to deploy its own DDoS defenses when necessary.