What's Happening?
Gartner has predicted that by 2028, half of enterprise incident response efforts will focus on managing security issues related to custom-built AI applications. The rapid evolution of AI technologies, particularly custom-built applications, presents significant
challenges for security teams. Many AI tools are being deployed before they are fully tested, leading to complex and dynamic systems that are difficult to secure. Gartner emphasizes the need for security teams to be involved early in AI projects to ensure adequate controls are built in from the start. The use of AI-powered security tools is expected to grow, helping organizations protect against threats such as prompt injection and data misuse.
Why It's Important?
The increasing reliance on AI technologies in business operations highlights the need for robust security measures to protect against potential threats. As AI applications become more prevalent, the risk of security incidents related to these technologies is expected to rise. Organizations must prioritize the development of security frameworks that can address the unique challenges posed by AI applications. This includes implementing AI-powered security tools and ensuring that security teams are equipped to handle AI-related incidents. The ability to effectively manage AI security risks will be crucial for maintaining trust and protecting sensitive data.
What's Next?
Organizations are likely to invest in AI security platforms to protect against the growing threats associated with AI applications. Security teams will need to focus on building comprehensive security frameworks that address the unique challenges of AI technologies. This may involve adopting a 'shift left' approach, where security is integrated into the development process from the outset. As AI technologies continue to evolve, organizations will need to stay ahead of emerging threats and ensure that their security measures are capable of addressing the complexities of AI applications.
