The rise of ransomware as a cybersecurity threat is nothing short of spectacular. From its almost insignificant creation at least three decades ago to the present day, Ransomware has become the most widespread and profitable attack, so much so that it is also “offered” today as a service.
Current ways of detecting ransomware attacks use static analysis techniques that prove inadequate to intercept the sophistication of the new digital crime.
This white paper describes how to leverage new dynamic, machine-learning-based behavioural analytics techniques to intercept these attacks well before the final “toolate; the damage is done” stage.
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