AI低质代码泛滥、API经济盛行，老牌科技厂商 F5 如何应对大模型应用“后遗症”？

Core Insights - The article discusses the significant impact of AI programming tools on development efficiency while highlighting new challenges such as security vulnerabilities, low-quality code, and the complexity of debugging AI-generated code [2][4]. Group 1: AI Tools and Challenges - AI programming tools have been reported to significantly enhance development efficiency, but they also introduce new security vulnerabilities and low-quality code issues [2]. - The increase in API numbers due to AI tools has led to a heavier operational burden for enterprises [2]. - The "black box" issue complicates the understanding of AI-generated code, making debugging and security checks more time-consuming [2]. Group 2: Security and Performance - Performance is crucial for user experience, and balancing security with user-friendly authentication processes is a pressing challenge [4]. - Over 91% of users have implemented WAAP (Web Application and API Protection) to secure AI and machine learning models [5]. Group 3: AI in Operations - A significant percentage of operational staff are utilizing AI to streamline processes: 57% use AI for script generation, 56% for custom policy creation, and 55% for executing scripts [7]. - Observability is key for AI-driven automation, with 65% of respondents leveraging it for this purpose [7]. Group 4: Application Trends - The proportion of modern applications is expected to surpass traditional applications by 2025, with modern applications rising from 29% in 2020 to 53% [7]. - By 2025, 54% of application and API performance analysis will be based on large models [7]. Group 5: AI Implementation Challenges - Complex IT architectures, unique security needs, and cost control are identified as major challenges for enterprises adopting AI applications [9]. - By 2028, 80% of enterprises are expected to embed AI capabilities, with 94% of AI applications deployed in hybrid cloud environments [12]. Group 6: F5's Response - F5 has transitioned to an Application Delivery and Security Platform (ADSP) to meet the growing demand for integrated performance and security solutions [11]. - The ADSP platform aims to provide seamless operation across various environments, addressing the complexities of modern application security [14]. Group 7: AI Gateway and Security - F5 has introduced the AI Gateway, which offers capabilities for routing based on large language models and provides protection against prompt injection and PII data leakage [16]. - The AI Gateway enhances GPU utilization rates by 30-60% while improving service success rates by at least 8% in specific applications [16]. Group 8: Comprehensive Services - F5 offers comprehensive application delivery and security services, including load balancing, DNS, CDN, and API gateways, adaptable to various deployment environments [17]. - The platform integrates capabilities across NetOps, SecOps, and DevOps, providing unified policy management and deep security analysis [17]. Group 9: AI Assistant - F5 has launched an AI assistant that enhances the platform's intelligence, capable of explanation, generation, and optimization across all F5 products [19].