机构发布2026年AI与网络安全预测 平台化部署成为全新防御方式

Core Insights - The integration of artificial intelligence (AI) into the global economy is fundamentally changing the cybersecurity landscape, creating both risks and opportunities for defense mechanisms [1][2] - Palo Alto Networks has identified 2026 as a pivotal year for cybersecurity, emphasizing the need for a systemic transformation in security architecture to adapt to AI advancements [2][3] Group 1: Predictions and Trends - The report outlines six major trends for AI and cybersecurity by 2026, starting with the threat of AI identity spoofing, which could lead to a crisis of authenticity due to the high ratio of autonomous AI agents to humans [3][4] - The introduction of autonomous AI agents is expected to address the global shortage of 4.8 million cybersecurity professionals, but these agents will also become prime targets for attackers, necessitating a "controlled autonomy" defense system [4][5] - Data poisoning is anticipated to become a new frontier in cyberattacks, where attackers will covertly alter AI training data, leading to a fundamental "data trust crisis" [5][6] Group 2: Legal and Operational Challenges - The rapid adoption of AI technologies is outpacing the development of security strategies, with only 6% of companies having a comprehensive AI security plan, which could lead to significant legal liabilities for executives [5][6] - The emergence of quantum computing is expected to create a "retrospective insecurity" crisis, compelling companies to transition to post-quantum cryptography systems [5][6] - Browsers are evolving from information aggregation tools to intelligent agent platforms, necessitating the adoption of integrated cloud-native security architectures to implement zero-trust security measures [5][6]