With an estimated market size of $102 billion by 2032, it\u2019s no secret that artificial intelligence (AI) is sweeping all industries. However, AI requires data, and where that data comes from, how it is processed and what results from those processes will require a sense of identity and security. It is understandable that many people are concerned about the security of such data. A 2023 survey found that 81% of respondents are concerned about the security risks associated with ChatGPT and generative AI, while only 7% were optimistic that AI tools would improve Internet security. Therefore, strict cybersecurity measures will be even more critical with artificial intelligence technologies.<\/p>\n
“There are countless opportunities to apply AI in cybersecurity to improve threat detection, prevention and incident response. Therefore, companies must understand the opportunities and weaknesses of AI in cybersecurity to anticipate the next threats,” said Avesta Hojjati – Vice President of Engineering and Head of R&D at DigiCert.<\/strong><\/p>\n Using AI<\/strong><\/p>\n On the bright side, AI can help transform cybersecurity with more effective, accurate and rapid responses. Some of the ways AI can be applied to cybersecurity include:<\/p>\n Red Alert<\/strong><\/p>\n Nowadays, cybercriminals use AI in their attacks. Here are 3 examples:<\/p>\n In addition, AI requires a lot of data and companies must limit exactly what is shared, as it creates another third party where data could be affected. Even ChatGPT itself suffered a data breach due to a vulnerability in the Redis library, which allows users to access the chat history of others. OpenAI quickly solved the problem, but highlighted potential risks for chatbots and users. Some companies have begun to completely ban the use of ChatGPT to protect sensitive data, while others are implementing AI policies to limit data that can be shared with AI.<\/p>\n How to generate digital confidence in AI with PKI?<\/strong><\/p>\n The use of technologies such as Public Key Infrastructure (PKI) can play a key role in protecting against emerging AI-related threats, such as deep counterfeiting, and in maintaining the integrity of digital communications.<\/p>\n For example, a consortium of industry leaders, including Adobe, Microsoft and DigiCert, are working on a standard known as Coalition for Content Provenance and Authenticity (C2PA). This initiative introduced an open standard designed to address the challenge of verifying and confirming the legitimacy of digital archives.<\/p>\n C2PA leverages PKI to generate an undisputed trail, allowing users to discern between genuine and counterfeit media. This specification gives users the ability to determine the source, creator, creation date, location and any modification of a digital file. The main objective of this standard is to promote transparency and reliability in digital media files, especially given the increasing difficulty in distinguishing AI-generated content from reality in today\u2019s environment.<\/p>\n “In short, AI will develop many opportunities in cybersecurity and has barely touched the surface of what it can do. AI will be used as both offensive and defensive tool to prevent and provoke cyberattacks. But the key is for companies to be aware of the risks and start implementing solutions now, given that AI cannot completely replace humans,” concludes Hojjati.<\/p>\n","protected":false},"excerpt":{"rendered":" With an estimated market size of $102 billion by 2032, it\u2019s no secret that artificial intelligence (AI) is sweeping all industries. However, AI requires data, and where that data comes from, how it is processed and what results from those processes will require a sense of identity and security. 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