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Artificial intelligence (AI) and machine learning (ML) are some of the most common and enduring buzzwords in the technology sector. Every few months or years, a new company announces that they’ve found a way to use AI and ML to provide a solution to some pressing problem.
While many of these miracle cures should be taken with a grain of salt, AI and ML-based solutions have matured significantly in the last few years. These technologies are very good at large-scale data processing and pattern recognition, meaning that, implemented properly, they can do some amazing things within a certain field.
One area where AI and ML have been applied with some success is application security. An organization’s web applications are often the first target of hackers, who take advantage of the fact that they are publicly exposed but often also have direct access to an organization’s store of sensitive customer data.
By targeting these web applications, attackers have a chance of breaking through and stealing an organization’s sensitive data, so these applications are often targets of a variety of cutting-edge new attacks. As a result, a lot of work has gone into training AI and ML systems to identify and block attempted exploitation of vulnerabilities in these valuable resources.
Applying ML and AI to Cybersecurity
Artificial intelligence and machine learning are new technologies that have potential in a variety of different fields. However, one field where they are receiving a lot of attention and investment is cybersecurity.
Cybersecurity is a field that is simultaneously facing a shortage of skilled practitioners and massive growth. As the number of cyberattacks grows, cybersecurity professionals are becomin… Read More
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