What’s a leading indicator that an organization may invest in biometric authentication? It turns out that it’s a data breach.
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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It’s perhaps one of the most well-known and understood foundations of enterprise security – finding and patching outdated software with software updates.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.
How much risk is hiding in your in the data in your enterprise?
Probably quite a bit.
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.
An annual study from enterprise software company Micro Focus has shown progress in the security maturity of organizations, but much more work remains. According to the fifth annual State of Security Operations Report 2018, there has been a 10 percent improvement in organization’s ability to meet security-related business goals. According to the study, about 25 percent of organizations assessed meet those goals.
Over the past few years, considerable attention has been given to the cybersecurity skills gap. In the post Enterprises Continue to Grapple with a Huge Cyber Security Skills Shortage we covered how the global cyber security workforce shortage is on pace to hit 1.8 million by 2022, a 20 percent increase since 2015, according to the Global Information Security Workforce Study. That study found 68 percent of workers in North America think the workforce gap is due to a lack of qualified personnel.
Organizations already facing a tough time finding cybersecurity talent may find additional cybersecurity headwinds this year as the vast majority (84 percent) of cybersecurity workers say they are on the lookout for new job opportunities.
Ever since the first data breach notification law went into effect July 1, 2003 in California (SB 1386), there has been controversy surrounding what types of data being exposed should trigger data breach notifications, who should be notified, and how quickly they should be notified. In fact, it’s become somewhat of a mess.