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AI vs. AI: Cybersecurity battle royale

AI vs. AI: Cybersecurity battle royale

David and Goliath. The Invasion of Normandy. No matter the generation, we all know some of the storied battles that have withstood the test of time.

SwissCognitiveIn cyberspace, however, there’s a fierce battle brewing surrounding .

With projected to become a $190 billion industry by 2025 (according to Markets and Markets), it is more integrated in our everyday lives than we may even notice at this stage – and it continues to gain popularity. has found its way into home appliances, medical imagery, and even musical composition.

One area that has remained a constant is cybersecurity, where its continual learnings help detect and combat cyberthreats. But what if this technology were to fall into the wrong hands? If was suddenly being used to aid cyberthreats and not eradicate them, could “good ” take on “bad ” and win the war on malware?

While there are some barriers in place today to prevent such a thing, there’s no harm in preparing for the inevitable. Here is why we need to turn our attention to the vs. battle and prevent this potentially catastrophic phenomena:

Outpacing human capability

We are all appreciative of the sheer power of technology, but as realists we need to be aware of its capabilities and impacts. Part of that includes recognizing that indeed does have the potential to outpace human development. This has already been demonstrated by IBM at Black Hat 2018 where they displayed the potential impact of a -based ransomware, Deep Locker. The ransomware successfully compromised a face recognition algorithm to autonomously select which computer to attack with encrypted ransomware.

DeepLocker was able to convert and conceal the trigger of the attack into a “password” that when entered by the unassuming user would unlock the attack payload. Deep Locker demonstrated how the threat could potentially outpace our human capability in finding targets and executing attacks. This kind of attack could be duplicated using audio, location or other algorithms that are built right into most of our everyday devices.

While there are some barriers in place today to prevent such a thing, there’s no harm in preparing for the inevitable. Here is why we need to turn our attention to the vs. battle and prevent this potentially catastrophic phenomena:

Outpacing human capability

We are all appreciative of the sheer power of technology, but as realists we need to be aware of its capabilities and impacts. Part of that includes recognizing that indeed does have the potential to outpace human development. This has already been demonstrated by IBM at Black Hat 2018 where they displayed the potential impact of a -based ransomware, Deep Locker. The ransomware successfully compromised a face recognition algorithm to autonomously select which computer to attack with encrypted ransomware.[…]

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