How artificial intelligence (AI) and machine learning change security's future | Enterprise Technology - The Enterprisers Project

CIOs can use the power of artificial intelligence to combat craftier attacks and augment our security teams. But we also need to ask how we are securing our own AI, explores Mark Runyon, works as principal consultant for Improving. 

How artificial intelligence (AI) and machine learning change security's future
Photo: The Enterprisers Project

As artificial intelligence (AI) and machine learning (ML) are increasingly deployed throughout organizations, they are being tasked with solving some of the biggest business challenges. One of the toughest: IT security.
 
In 2020, the average cost of a data breach is $3.86 million worldwide and $8.64 million in the United States, according to IBM Security. The number of endpoints we must secure keeps multiplying as our technology stacks become more complex with microservices, IoT, and cloud services...

Protecting your AI from hackers
There is a flip side to this issue: According to Gartner, 37 percent of organizations have implemented artificial intelligence to some degree. That represents a 470 percent increase from four years ago.

Artificial intelligence and machine learning are quickly becoming critical components of our IT infrastructure. That makes them a target. If hackers can access our AI, they can poison our data to infect our model. They can exploit bugs within our algorithm to produce unintended results...

Traditional anti-virus and firewall solutions can’t keep pace with zero-day threats and the wave of malware variants. AI and ML provide a proactive solution. They can find behavioral patterns from the user community to stop threats before they start. AI can help security professionals digest mountains of data to pinpoint problems. They can help us keep pace with an AI-powered hacking community intent on doing us harm.
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Source: The Enterprisers Project