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Software-based advanced analytics — including big data, machine learning, behavioranalytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. They are: Innovations in automation.
Today’s work from anywhere culture, escalating ransomware, and an explosion of Internet of Things (IoT) devices are among the trends that are driving enterprises to rethink their approach to secure network access. Behavioralanalytics and least-privilege access. Like continuous authentication, ZTNA uses behavioralanalytics.
Internet of things (IOT) attack In an IoT attack, cybercriminals exploit vulnerabilities in IoT devices, like smart home devices and industrial control systems, to take over the device, steal data, or use the device as a part of a botnet for other malicious ends.
The more data, users and devices there are, the more points of vulnerability and risks of cyberattack there are. BYOD, IoT and the mobilization of the workforce make it essential to move your protection closer to the point of risk. So why are so many IT departments relying on out-of-date cybersecurity technologies?
While this connectivity has given us a new understanding of creature comforts, they have also created risk. An example of this can be found through the the recent debacle from smart lock manufacturer LockState , who can unfortunately vouch for this type of risk.
As cyber attacks continue to increase across the world, it has become more critical for countries to implement cyber operations from a defensive and offensive perspective to protect national secrets and their citizens.
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