Advancements in the field of generative AI have led to an explosion of interest and hype around chatbots that can create logical paragraphs, realistic images and that can seemingly mimic the human brain.
Modern chatbots rely on two branches of AI; natural language processing (NLP) and machine
learning (ML). In cyber security, advances in the aforementioned branches of AI are driving new
In short, AI is transforming the way that we approach cyber security, solving some of our most challenging problems and keeping us ahead of fast-moving threats. An essential tool in cyber
crime prevention, AI can help protect businesses 24/7 in ways that were previously inaccessible.
Cyber security powered by AI is at the top of IT budget priorities in 2023. Ninety-two percent of organizations intend to use AI and machine learning to support cyber security and over half of business owners already use artificial intelligence for cyber security and fraud management purposes.
As an example of AI’s utility in cyber security, blending traditional security mechanisms with AI can result in an almost 100% detection rate, while dramatically reducing false positives.
At the same time, artificial intelligence based cyber security tools can be prohibitively expensive for small businesses and AI tech’s overwhelming popularity has transformed it into a target for hackers. Organizations should carefully assess the advantages and limitations of implementing AI algorithms within cyber security programs.
Questions to consider include ‘Where is AI beneficial?’ ‘What are the drawbacks?’ ‘Which types of artificial intelligence based tools truly add value’? In this eBook, see what experts have to say and drive stronger cyber security outcomes for your organization.
Download the eBook here.