Increasing digitalization is exposing the rail sector to cyber threats as never before. Read the blog to learn how new communication technologies will lead to significant improvements in terms of digital transformation and more efficient train control.
The Gartner Security & Risk Management Summit revealed sobering facts and insights on the future of cybersecurity with the goal of helping security and risk management leaders succeed in the digital era. This alert from the CyberRisk Alliance highlights take-aways including strategic planning assumptions and priorities.
Threats from cyberattacks are significant and constantly changing. Performing periodic, internal audits of your risk profile and cybersecurity is critical to managing the never-ending battle against cyber threats.
Despite the fact the cybersecurity skills gap continues to widen, many organizations still believe they can find cybersecurity veterans to fill out their security team rosters.
Professional Services is now Rebranded as the Process Automation Consulting Team
MadWolf Technologies is rebranding the Professional Services team to better focus the services offered by this team: Process Automation Consulting (PAC) Team.
People are working harder than ever. They're not happy about it, and that might be bad for business. A dissatisfied workforce increases the potential for insider threats. Read this blog to learn why and how.
Read this article for a brief orientation on how SaaS, PaaS and IaaS work, as well as some tips on how to choose the optimal option for your business.
With the expanded notoriety of distributed and cloud computing, organizations across the globe are getting away from the customary on-premises IT services they have come to depend on for a while. This article explores cloud computing forms including IaaS, PaaS and SaaS. Read the article to learn what each means and how they compare.
Remote work and the continuing threat of cyber-attacks are driving organizations to find better security frameworks. The solution may be a zero-trust framework which is a stringent, layered approach that assumes no user is automatically trustworthy.
An artificial intelligence model developed by researchers can predict the likelihood that a patient may have an unplanned hospitalization during their radiation treatments for cancer. Read the blog for a deeper dive.