API攻击激增，安全智能体何以安全？丨ToB产业观察

Group 1: AI and Cybersecurity Risks - AI has introduced greater risks to enterprise cybersecurity, with 57% of privacy and data security issues and 55% of AI-driven cyberattacks being attributed to generative AI cloud security concerns, yet only 7% of IT decision-makers believe there are no related security risks [2] - The complexity of attack methods has increased, with attackers leveraging a larger internet exposure as an entry point, utilizing AI capabilities for social engineering phishing attacks and supply chain attacks, leading to full-chain attacks [3] - Gartner predicts that by 2025, the adoption of generative AI will increase the need for cybersecurity resources in enterprises, resulting in a more than 15% rise in application and data security spending [3] Group 2: API Security Concerns - In the past year, China spent the highest cost on resolving API security incidents, amounting to $778,000 (approximately 5.68 million RMB), with a total of 108 billion API attacks recorded in the Asia-Pacific region from January 2023 to June 2024, accounting for 15% of all web attacks [4] - Over 60% of web attack traffic is focused on API interfaces, with attack volume increasing by 23% year-on-year, driven by the new threat exposure brought by the large-scale implementation of generative AI technology [4] - Common API vulnerabilities include misconfigurations, network firewalls not intercepting, and authorization flaws, with API misconfiguration being the most prevalent at 22.3% [5] Group 3: Web Security Trends - Web vulnerability exploitation attacks are expected to increase by 68% in 2024, with a significant rise in attacks targeting AI application vulnerabilities [6] - The concept of using AI to combat AI is gaining traction, with security service providers launching corresponding large model services to enhance threat detection and response capabilities [7][8] - The evolution of web security defense has shifted from static rule-based defenses to dynamic game-theoretic defenses, with AI becoming the central component of security systems [9] Group 4: Systematic Defense Strategies - Enterprises are moving towards a systematic defense approach, integrating various security tools into a cohesive defense mechanism, breaking down data silos and policy fragmentation [11] - For API security, companies need to establish a comprehensive API security strategy, including continuous discovery of vulnerabilities, threat management systems, and proactive testing [12] - The demand for security operations is driving the development of security service providers, focusing on asset, vulnerability, threat, intelligence, and security policy operations [13]