The author suggests that security teams and intelligence analysts will need tools and training to help them sift through the noise of AI-generated content. While some AI companies are working on systems to watermark AI-generated content, the author stresses the importance of improving case management practices, developing rapid response plans, and stepping up employee training to counter these threats. The author concludes by emphasizing the need for security professionals to develop an even healthier dose of skepticism and to make quick decisions with the available information to keep personnel and operations safe.
Key takeaways:
- Generative artificial intelligence, which creates text, images, audio or video in response to user prompts, poses a significant challenge to security professionals and analysts due to the potential for well-crafted hoaxes, misinformation or disinformation.
- Security teams will need tools and training to help them sift through misdirections, half-truths and outright fabrications to focus on the information and threats that matter.
- Several major AI companies have committed to developing a system to "watermark" all forms of content generated by AI, but without similar efforts across the industry, the problem of detecting inauthentic content will persist.
- Organizations must develop rapid response plans, enhance employee training regarding social engineering, and foster internal partnerships to counter the effects of online hoaxes and damaging media.