Where did these types of attacks come from and why are they still so prevalent today even with large investments in cybersecurity defenses? Sponsored by DeepInstinctSec
Bursting onto the scene in 2005, we first saw misleading applications as the precursor to ransomware. Initially these were system pop-ups letting users know there was an issue with a driver or resources on the system — and offering to “fix” the problem by clicking a button in the popup. This evolved into “fakeav” applications that also included pop-ups and fooled users into clicking and installing an application.
Just as ransomware has evolved, so has the response from cybersecurity tools. In the past, impacted businesses could recover their data through reimagining or data backups.tools were designed to detect threats and to mitigate damage through these backups.
To that end, a revolutionary subset of artificial intelligence called “deep learning” has become critical to analyzing data at enterprise speed and with incredible accuracy to enable businesses to prevent ransomware attacks before they execute on an endpoint and infect in the first place.
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