{"id":54077,"date":"2023-10-11T10:00:00","date_gmt":"2023-10-11T10:00:00","guid":{"rendered":"https:\/\/www.networkworld.com\/article\/3708297\/ibm-treat-generative-ai-like-a-burning-platform-and-secure-it-now.html#tk.rss_security"},"modified":"2023-10-11T10:00:00","modified_gmt":"2023-10-11T10:00:00","slug":"ibm-treat-generative-ai-like-a-burning-platform-and-secure-it-now","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/ibm-treat-generative-ai-like-a-burning-platform-and-secure-it-now\/","title":{"rendered":"IBM: Treat generative AI like a burning platform and secure it now"},"content":{"rendered":"
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In the rush to deploy generative AI<\/a>, many organizations are sacrificing security in favor of innovation, IBM warns.<\/p>\n

Among 200 executives surveyed by IBM, 94% said it\u2019s important to secure generative AI applications and services before deployment. Yet only 24% of respondents\u2019 generative AI projects will include a cybersecurity component within the next six months. In addition, 69% said innovation takes precedence over security for generative AI, according to the IBM Institute for Business Value\u2019s report, The CEO’s guide to generative AI: Cybersecurity<\/a>.<\/p>\n

Business leaders appear to be prioritizing development of new capabilities without addressing new security risks \u2013 even though 96% say adopting generative AI makes a security breach likely in their organization within the next three years, IBM stated.<\/p>\n

\u201cAs generative AI proliferates<\/a> over the next six to 12 months, experts expect new intrusion attacks to exploit scale, speed, sophistication, and precision, with constant new threats on the horizon,\u201d wrote Chris McCurdy, worldwide vice president & general manager with IBM Security in a blog<\/a> about the study.<\/p>\n

For network and security teams, challenges could include having to battle the large volumes of spam and phishing emails generative AI can create; watching for denial-of-service attacks by those large traffic volumes; and having to look for new malware that is more difficult to detect and remove than traditional malware.<\/p>\n

\u201cWhen considering both likelihood and potential impact, autonomous attacks launched in mass volume stand out as the greatest risk. However, executives expect hackers faking or impersonating trusted users to have the greatest impact on the business, followed closely by the creation of malicious code,\u201d McCurdy stated.<\/p>\n