人工智能如何改变安全默认移动框架的采用

Meta’s secure-by-default frameworks wrap potentially unsafe OS and third-party functions, making security the default while preserving developer speed and usability.
Meta的默认安全框架包装了潜在不安全的操作系统和第三方函数，使安全性成为默认，同时保持开发者的速度和可用性。
These frameworks are designed to closely mirror existing APIs, rely on public and stable interfaces, and maximize developer adoption by minimizing friction and complexity.
这些框架旨在紧密镜像现有API，依赖公共和稳定的接口，并通过最小化摩擦和复杂性来最大化开发者的采用。
Generative AI and automation accelerate the adoption of secure frameworks at scale, enabling consistent security enforcement and efficient migration across Meta’s vast codebase.
生成性AI和自动化加速了安全框架的大规模采用，使得在Meta庞大的代码库中实现一致的安全执行和高效迁移成为可能。

Sometimes functions within operating systems or provided by third parties come with a risk of misuse that could compromise security. To mitigate this, we wrap or replace these functions using our own secure-by-default frameworks. These frameworks play an important role in helping our security and software engineers maintain and improve the security of our codebases while maintaining developer speed.

有时，操作系统内的功能或第三方提供的功能存在被滥用的风险，这可能会危及安全。为了减轻这种风险，我们使用自己的默认安全框架来包装或替换这些功能。这些框架在帮助我们的安全和软件工程师维护和改善代码库的安全性，同时保持开发者的速度方面发挥了重要作用。

But implementing these frameworks comes with practical challenges, like design tradeoffs. Building a secure framework on top of Android APIs, for example, requires a thoughtful balance between security, usability, and maintainability.

但是，实施这些框架面临实际挑战，例如设计权衡。例如，在Android API之上构建安全框架需要在安全性、可用性和可维护性之间进行深思熟虑的平衡。

With the emergence of AI-driven tools and automation we can scale the adoption of these frameworks across Meta’s large codebase. AI can assist in identifying insecure usage patterns, suggesting or automatically applying secure framework replacements and continuously monitoring compliance. This not only accelerates migration but also ensures consistent security enforcement at scale.

随着AI驱动工具和自动化的出现，我们可以在Meta的大型代码库中推广这些框架的采用。AI可以帮助识别不安全的使用模式，建议或自动应用安全框架替代方案，并持续监控合规性。这不仅加速了迁移，还确保了大规模的一致安全执行。

Together, these strategies empower our d...