Serverless computing is taking off. By some estimates, many enterprises that are using public cloud have embraced serverless computing. As TheNewStack’s Lawrence Hecht wrote, “After digging in, we found that the survey says 70 percent of enterprises have migrated a significant number of workloads to the public cloud. Among this group, 39 percent of using serverless, 40 percent are using containers and 34 percent are using container orchestration.”
The time for the healthcare industry to embrace cloud computing has been long. But it’s finally here, according to a recent survey conducted around HIMSS18 (Healthcare Information and Management Systems Society) of Members of the College of Healthcare Information Management Executives.
Software defined Networking is here, and there’s plenty of talk about what this means for security. As Ericka Chickowski wrote in Security Must Adjust as SDN Goes Mainstream we know one thing: security will need to continue to adjust to compensate.
That’s the conclusion of at least one cybersecurity services provider. According to Risk Based Security, following year over year increases in the number of publicly reported data breaches, the first three months of 2018 saw a respectable decline. But while the numbers look good, they may reflect a change in criminal targeting and goals and less an indication that cyber-criminals are waving white flags.
What’s a leading indicator that an organization may invest in biometric authentication? It turns out that it’s a data breach.
We’ve been writing quite a bit about GDPR (along with most everyone else), and its deadline rolling upon us there will be quite a bit more GDPR coverage to go around. But as the deadline draws closer, we’ve beginning to see some of the potential fallout and unexpected consequences of the regulation. Ridding
As we’ve covered in depth here over the past few years, enterprises have moved to cloud in a big way, with the estimated size of the cloud computing market to have been $130 billion globally in 2017. But those organizations who have made the move, especially when it involves sensitive or
It’s perhaps one of the most well-known and understood foundations of enterprise security – finding and patching outdated software with software updates. However, a newly released survey from cloud IT services provider ServiceNow, Today’s State of Vulnerability Response: Patch Work Demands Attention, found that there is still much work that must be done within the enterprise to close the window of vulnerability, that time between when an application vulnerability becomes known and it is remedied.
Do you think automation and AI/machine learning will help your organization close its internal skills gap? A recent study from the Ponemon Institute found otherwise — at least for now. According to the Ponemon Institute study (funded by security vendor DomainTools) also found that the cybersecurity professional skills shortage will increase as automation technologies increase.
Once again, a third-party vendor may have exposed sensitive credit card information of hundreds of thousands of Delta Air Lines and Sears. The attack shows the vulnerability to reputation and risk from attacks on third party vendors.
It doesn’t matter what discipline within cybersecurity one looks at, nearly everywhere one looks machine learning and artificial intelligence are changing how security data are analyzed, security tools deployed, and threats identified. I know there’s a difference between machine language and AI, but so many use the terms interchangeably now that the difference is blurring in the minds of many.
