Friday, January 31, 2020

AI and CyberCrime


A citizen, first in war, first in peace and first to the hearts of his countrymen--------(Henry Lee on death of General Washington 1800)






In the ever-changing cyberthreat landscape, organizations will have to defend against increasingly complex and interconnected risk.

As organizations continue to grow, so do the size and complexity of their technology and data estates,
meaning attackers have more surfaces to explore and exploit.

AI has the potential to accelerate the volume of attacks as automation of tasks and enhancement
of malicious services further reduce barriers of entry and execution of attacks.

The tools to accomplish attacks are increasingly available on the Dark Web at decreasing costs, including cyber weapons stolen from the NSA and CIA. 

For example; 
The Ukraine power grid attack used spear phishing, industrial control, and disk wiping techniques that were all readily available on the black market, many of them previously stolen from NSA.

Checks and balances do not work as well for cyberwarfare where plausible deniability or even misdirecting the blame to someone else is common.

AI is not a single technology but a family of technologies. There are five broad
categories of AI technologies: computer vision, natural language, virtual assistants, robotic process
automation, and advanced machine learning. 

Hackers will likely use these tools to varying degrees

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