We’re hearing more and more about edge computing, and it will likely continue to be a focal point within IT as the Internet of Things (IoT) continues to gain momentum. A key question for organizations looking to the edge: What are the cyber security implications?
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Some 71% of CISOs rank data security and compliance as the most important factor when choosing where to put their application workloads, according to a recent survey by Nutanix.
Building a hybrid cloud environment can provide a host of benefits for organizations, including a level of flexibility and agility not possible with a traditional on-premise data center infrastructure. But it can also create complexities that can lead to increased risk for enterprises.
Few industries today are faced with as many cyber security threats as the healthcare sector. Patient data is among the most sensitive information in the digital ecosystem, and cyber criminals are often looking to leverage these resources for profit.
Anyone who takes part in a corporate board of directors meeting these days is likely to hear conversations about cyber security and regulatory compliance. These areas have become so critical to the risk management strategies of organizations that they can’t be ignored by the very people responsible for guiding businesses to success in their markets.
Many organizations today are adopting a multi-cloud strategy, using services from several cloud providers and deploying offerings such as software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS) to meet a variety of business needs.
Many people might tend to associate security breaches and malware attacks with large enterprises. After all, the attacks that grab the big headlines generally occur against global companies or large governmental organizations.
Even though Security Operation Centers (SOCs) are increasingly common, some 48 percent of organizations don’t have one, a recent survey shows. This creates many security challenges, such as: slower identification of intrusions, ad-hoc or no processes following a security breach, inability to efficiently protect the most valuable assets from advanced attacks, and delayed isolation of corrupted infrastructures.
The more “cyber security ready” a business becomes, the better its overall business outcomes. Unfortunately, many organizations worldwide are not cyber security-ready.
Failure to detect an advanced cyberattack or a targeted threat as soon as it occurs may lead to full infrastructure compromise, irreversible data loss, and financial repercussions from which some companies may never recover, according to a Bitdefender survey of 1,050 CISOs in the US and Europe.
How big a problem is ransomware for organizations, and is it getting worse? That depends on who’s providing the information about this cyber threat—although experts seem to agree that organizations need to continue taking ransomware seriously.
Cyber security executives are always looking for ways to keep a step ahead of the bad actors and the latest threats. Emerging technologies such as machine learning (ML) are providing a way to do that, and some IT and security leaders have begun taking advantage of tools that leverage these automated capabilities.