Gartner's report emphasizes the importance of security specialization in an AI security tool, particularly when it comes to customizing models for specific use cases or advanced teams. The report notes that generative cybersecurity AI on real-time content may take more time to arrive and requires specialized models trained on such data. This aligns with Snyk's approach, which has a proprietary AI model customized for security and is independent of other AI coding assistant brands. Snyk's experience shows that specialism is key to creating a tool that successfully straddles both security teams and developer teams, addressing the need for intelligent accuracy as well as raw speed. The report also highlights the importance of driving accuracy in a complex area like AI security, which requires methods used when developing an AI model to contribute to how robust a security tool is. Additionally, Snyk's technology and process came out of its collective knowledge, resulting in accurate and streamlined results. The company's focus on making developers happy with fix prioritization and security teams happy with full application visibility and protection is also emphasized. Furthermore, the report notes that generative AI will likely accelerate zero-day attacks, making rapid reactive response necessary, which is where Snyk's proactive approach to capturing and neutralizing risks in the IDE comes into play. Finally, the company's vision is to help teams embrace AI safely without the mental load of worrying about security adequacy, propelling innovation while securing applications with the right security solution and partner.