通过SOP代理框架简化风险操作
In the blog our previous introduction to the SOP-driven LLM Agent Framework, we the potential of LLM agent framework to revolutionise business operations was discussed. Now, we’re excited to explore a compelling use case: automating Account Takeover (ATO) investigations in Risk Operations (RiskOps). This framework has significantly reduced manual effort, improved efficiency, and minimised errors in the investigation process, setting a new standard for secure and streamlined operations.
在博客中，我们之前介绍了基于SOP的LLM代理框架，讨论了LLM代理框架在革命性商业运营中的潜力。现在，我们很高兴探索一个引人注目的用例：在风险操作（RiskOps）中自动化账户接管（ATO）调查。该框架显著减少了手动工作，提高了效率，并最小化了调查过程中的错误，为安全和简化的操作设定了新标准。
The challenge in RiskOps
RiskOps中的挑战
Traditionally, ATO investigations have been fraught with challenges due to their complexity and the manual effort required. Analysts must sift through vast amounts of data, cross-referencing multiple systems and executing numerous SQL queries to make informed decisions. This process is not only labor-intensive but also susceptible to human error, which can lead to inconsistencies and potential security breaches.
传统上，ATO调查由于其复杂性和所需的手动努力而面临诸多挑战。分析师必须筛选大量数据，交叉参考多个系统并执行众多SQL查询以做出明智的决策。这个过程不仅劳动密集，而且容易受到人为错误的影响，这可能导致不一致和潜在的安全漏洞。
The manual approach often involves:
手动方法通常涉及：
- Time-consuming data analysis: Analysts spend significant time gathering and interpreting data from disparate sources, leading to delays and inefficiencies.
- 耗时的数据分析： 分析师花费大量时间从不同来源收集和解释数据，导致延误和低效。
- Decision fatigue: Continuous decision-making in a high-pressure environment can result in oversight or errors, especially when relying on predefined thresholds without adaptive insights.
- 决策疲劳：在高压环境中持续决策可能导致疏忽或错误，尤其是在依赖预定义阈值而没有适应性洞察时。
- Resource constraints: The need for specialised skills to handle SQL queries and interpret complex patterns limits the scalability of the process.
- 资源限制： 处理 SQL 查询和解释复杂模式所需的专业技能限制了该过程的可扩展性。
These challenges highlight the need for a more efficient, reliable, and scalable solution.
这些挑战突显了对更高效、可靠和可扩展解决方案的需求。
Leveraging the SOP agent framework
利用SOP代理框架
Our framework...