In the last year, the proliferation of Large Language Models (LLMs) and generative AI tools such as ChatGPT or Zhipu AI has accelerated the use of artificial intelligence (AI) in various fields. However, the risk of hacking and AI-generated malware is growing just as rapidly..
Unimagined development in the AI market
Recent market reports predict a significant increase in the AI market value from $11.3 billion in 2023 to an impressive $51.8 billion by 2028. ChatGPT has already established itself as the fastest growing internet application in our history. It underscores the urgency to recognize the increasing vulnerabilities and risks of the growth of AI models.
Data and models affected by AI threats
Despite the global distribution of billions of AI models, on average only 54% manage to successfully move from testing to production. Whether the number is 54% or less than 75%, the risks of attacks on AI models cannot be ignored.
AI data is vulnerable to attacks such as data poisoning by malicious actors. The same goes for quality issues that can be introduced during training and negatively impact the model’s performance. Additionally, AI models can be exploited by both natural and malicious inputs, posing security and privacy risks.
Explosive growth of the AI security market
Due to the security risks mentioned, the AI security market is experiencing rapid expansion. According to market analysis, the security market is estimated to reach $25.22 billion in 2024. It is expected to reach $60.24 billion by 2029, with a compound annual growth rate of 19.02% during the forecast period (2024-2029).
Compelling need for solutions to AI threats
Security teams are actively looking for solutions to protect against potential AI threats. Companies like TrojAI, Calypso, and Robust Intelligence have been working to address these challenges since late 2018 or early 2019.
Approximately 60% of organizations believe they would not be able to identify critical threats without the use of advanced AI technologies. The recent release of the US Executive Order on AI is expected to design safer AI models. This should counter the rise of malicious actors.
Accelerated focus on prevention
Leaders must increase their focus on prevention. They have to take proactive measures to protect AI models from attacks, data breaches and unauthorized access. This includes techniques such as secure development and execution of AI models, encryption of sensitive data, implementation of robust authentication mechanisms, and monitoring of data flows with real-time risk detection methods. This is the only way companies can avoid data breaches, ransomware attacks and legal problems.
