There is a healthy fear within the cybersecurity community that hackers can exploit security vulnerabilities in medical devices with relative ease, thereby endangering patients and putting a healthcare organization’s data assets at serious risk.
Deaths from terrorism fell for the fourth consecutive year, after peaking in 2014. The number of deaths has now decreased by 52 percent since 2014, falling from 33,555 to 15,952, says the 2019 Global Terrorism Index.
Heightened security threats, civil unrest and geopolitical instability are expected to be top disruptors to the mobile workforce in 2020, says a new study by International SOS.
There are many unique challenges involved with securing cloud services. First, data and applications in the cloud are distributed across many services and platforms; each with its own unique set of capabilities, logs and users.
The implementation of a secured perimeter and internal firewall network architecture and conducting Vulnerability Assessments and Penetration Tests (VAPT) are often seen as enough to protect critical business information and guard against unexpected cybersecurity threats. However, as we will discover and despite this approach being a good start, there is substantially more to information security than firewalls and VAPT.
The data analysis best practices from years past are not irrelevant; in the Loss Prevention world, we’re simply able to build on them to keep getting better at reducing fraud and shrinkage within operations. How can Artificial Intelligence take the efforts of your best talent and your Business Intelligence plan and help make them better?
There are few industries where the cybersecurity stakes are higher than in the healthcare space, with medical organizations running the risk of life-threatening disruptions at the hands of malicious actors.
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