The healthcare industry is a lucrative target for cyber-criminals, who have been quick to capitalize on the upheaval of the pandemic.
Relied on by some of the world’s most innovative and forward-thinking healthcare organizations, Darktrace’s Self-Learning AI defends the entire digital ecosystem by identifying and responding to the full range of cyber-attacks in real time – without relying on historical attack data.
Some of the most significant ransomware attacks of the past year were waged against US cities and local governments, resulting in critical data being encrypted and vital services crippled.
Hundreds of municipalities and cities around the world rely on Darktrace’s Self-Learning AI to protect against the most advanced and fast-moving cyber-attacks, including ransomware. When security teams are outpaced, the machine fights back.
Cyber-criminals are targeting energy companies and critical national infrastructure providers with novel methods such as ransomware with ICS kill lists.
Darktrace’s Self-Learning AI provides unified protection of IT and OT environments, identifying and stopping unpredictable cyber-attacks before they can do damage.
Ransomware poses one of the gravest threats to our public services and critical systems. Organizations continue to be caught off-guard by advanced ransomware attacks, leaving human security teams outpaced and overwhelmed. Legacy security tools reliant on historical attack data simply cannot keep up.
Darktrace’s Self-Learning AI is the only technology in the world that autonomously fights ransomware – without disrupting normal business operations.
With Self-Learning AI, organizations can build cyber resilience to fight back against the full range of machine-speed attacks – wherever they strike.
As ransomware continues to wreak havoc across every industry sector, this paper explores how AI can surgically contain this threat vector without disruption to normal business.
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