Darktrace, the AI cyber defence firm, has today announced that Phoenix Pharmahandel, the second largest pharmaceutical wholesaler in Europe, has deployed cyber AI to protect the organisation’s data from trust attacks and insider threat.
The pharmaceutical giant that operates 164 distribution centres, with 36,000 employees across 27 countries has had growing concerns about the threat from insiders across its vast and dispersed workforce.
Sven Milstein, Head of IT Operations & Service Delivery Management, revealed that Darktrace is protecting the 140,000,000 patients it serves from falsified medicines. With a vast, global supply chain, the organisation must be able to trust the data that verifies packages, such as serial numbers, at every stage of the distribution process.
AI for cyber, you don’t need to know what the threat is, just the network, says Darktrace
AI is helping Darktrace fight the good fight against the bad guys in the cyber world, but AI cyber security does it by understanding networks; it doesn’t need to look for a viruses signature, then again, cyber criminals are adopting AI too, or so Darktrace’s Max Heinemeyer told Information Age
“We are seeing more and more attacks aiming to undermine data integrity. Not only jeopardising our reputation, but public safety,” commented Sven. “When it matters most, we can trust that Darktrace’s AI will spot subtle and stealthy attacks, allowing us to have full confidence in the medicines we deliver.”
According to a spokesperson from Darktrace: “By deploying Darktrace across both their IT and OT systems, Phoenix Pharmahandel now has unprecedented visibility across its entire digital estate. The organisation is using this visibility to monitor compliance and improve its infrastructure.”
Speaking to Information Age, Andrew Tsonchev, Director of Technology, Darktrace Industrial, said: “More and more organisations are realising the powerful role AI defence can play in their cyber security program.”
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“Analogous to the human immune system, these technologies use artificial intelligence algorithms to learn the normal ‘pattern of life’ for every device, controller and user on unique networks. Using this dynamic understanding, they then detect and autonomously fight back against never-seen-before attacks.”
“If it seems like the fingerprint sensor controlling access to a substation is making strange connections, cyber AI will slow down or stop that specific connection, without interrupting the entire system and preventing legitimate access to the grid for several hours. The fact that these responses are proportionate, and in real time, means that energy companies can halt in-progress threats in their tracks, preventing any damage and system downtime.”
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