{"id":243,"date":"2026-02-27T08:52:47","date_gmt":"2026-02-27T09:52:47","guid":{"rendered":"https:\/\/gokupara.net\/?p=243"},"modified":"2026-03-02T10:15:13","modified_gmt":"2026-03-02T10:15:13","slug":"ai-security-in-the-age-of-genai-protecting-models-data-and-users","status":"publish","type":"post","link":"https:\/\/gokupara.net\/index.php\/2026\/02\/27\/ai-security-in-the-age-of-genai-protecting-models-data-and-users\/","title":{"rendered":"AI Security in the Age of GenAI: Protecting Models, Data, and Users"},"content":{"rendered":"

The adoption of any new technology on a massive scale across different industries is likely to create concerns regarding security. Malicious actors have not left any stone unturned to explore every opportunity to exploit artificial intelligence<\/a> systems. Businesses have to think about AI security in gen AI era as attackers can surprisingly leverage generative AI<\/a> itself to break into the most secure AI systems. Understanding the security risks that come with gen AI has become more important than ever.<\/p>\n

Generative AI has become one of the prominent technologies with a transformative impact on how businesses operate and view security. You could find at least one in three organizations using generative AI in one business function. Gen AI not only improves productivity and efficiency but also introduces a wide array of security challenges. Organizations have to think about AI security for models, data and their users in the age of generative AI.<\/span><\/p>\n

Gauging the Scope of AI Security Risks in the Gen AI Era<\/b><\/h2>\n

The spontaneous growth in large-scale adoption of generative AI has introduced many new attack vectors that you cannot handle with conventional security measures. A report by SoSafe on cybercrime trends in 2025 suggested that more than 90% of security experts expect AI-driven attacks to grow in the next three years (Source<\/a>). The use of AI in security systems might seem like a promising solution to achieve stronger safeguards against emerging threats. However, the numbers have a completely different story to say about how generative AI will affect security.<\/p>\n

Gartner has pointed out that over 40% of AI-related data breaches will happen due to inappropriate use of generative AI, by 2027 (<\/span>Source<\/span><\/a>). A survey of global business and cybersecurity leaders in 2024 revealed that almost half of the respondents believed generative AI will drive the growth of adversarial capabilities (<\/span>Source<\/span><\/a>). The survey also showed that some experts believed gen AI could be responsible for exposing sensitive information and data leaks.\u00a0<\/span><\/p>\n

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Understanding How Generative AI Increases Security Risks<\/b><\/h3>\n

Anyone interested in measuring the impact of generative AI on security would obviously search for the most notable security risks attributed to gen AI. On the contrary, they should search for answers to \u201cHow has GenAI affected security?\u201d with an understanding of the nature of gen AI applications. You must find out where security risks creep into generative AI applications to get a better idea of gen AI security.<\/p>\n