Cloud breaches continue to riddle organizations’ threat landscape, with misconfigured cloud storage services and poor security practices leading to more than 200 breaches in the past two years, according to the latest Accurics report.
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The August 2020 edition of the Netskope Cloud and Threat Report highlights a 161% increase in visits to high-risk apps and sites brought on by a 64% remote workforce.
WannaCry is still fresh in our memory, reminding organizations of how distractive an unpatched vulnerability can be especially if weaponized as a wormable threat that delivers ransomware. BlueKeep has been estimated to have the same disruptive potential as EternalBlue (the exploit responsible for WannaCry) if sporting worm-like behavior, especially since RDP is a commonly used service in organizations, allowing IT and security teams to remotely dial into machines.
A few years ago, companies were reluctant to adopt cloud computing because they thought a lack of physical access to the network would deprive them of control over their data. A major shift occurred when they understood that, with suitable configuration and security, cloud computing offers serious benefits.
After years of hype, 2018 may finally see the start of the mainstream adoption of software-defined networking (SDN). And with it, network virtualization and software defined data centers (SDDC) could be on the cusp of big breakthroughs. So say the results of the new research from Enterprise Management Associates (EMA).
Cloud security has grown into a major issue for enterprises, as only one company in six encrypts all data, according to a Bitdefender survey. While 85% of CISOs fear security flaws in the public cloud, as many as 51 percent of enterprises don’t properly secure their cloud storage services, according to RedLock, leaving their data exposed to hackers.
Everyone in IT knows how much the cloud is becoming a central and strategic component of the modern technology infrastructure at many enterprises. Perhaps less well known is the fact that a lot of organizations have pulled workloads back from the cloud—in part because of concerns about data management and security.
As enterprises bridge their adoption patterns for public cloud from isolated pilot projects to fully scaled environments, they're going to need to get serious about adjusting their cybersecurity strategy and architecture to accordingly. According to the thinkers at McKinsey & Company, that sea change needs to start now. In a new report out last month by the consulting firm, enterprises are finally doubling down on their public cloud experiments over the last decade. And that means an impending cascade of public cloud usage in critical infrastructure that previously remained entrenched in the on-prem world.
An increase in cyber threats and a failure to learn from past incidents place the security of data, infrastructure and assets at risk, according to a new threat landscape report.
Now is not the time to dilly-dally. If you haven’t already properly secured the Amazon Web Services S3 servers (known as “buckets”) storing your sensitive data in the cloud then your business has no time to lose.
As bad actors continue to hone their skills and governments keep raising the penalty for getting breached, large organizations across the globe seem to be doing little to mitigate the risks associated with cybercrime – despite knowing better for years.
The terms “artificial intelligence” and “machine learning” are often used interchangeably, but there’s a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware.