Overview
Cloudflare has launched an AI Assistant for Security Analytics that allows users to query security event data using natural language. This tool simplifies the process of identifying anomalies and potential security threats by generating time series charts based on user queries without the need for complex filtering.
What You'll Learn
1
How to use natural language to query security event data in Cloudflare
2
Why leveraging AI can simplify security analytics and improve response times
3
When to utilize the AI Assistant for identifying traffic anomalies
Key Questions Answered
How does the AI Assistant improve security analytics?
The AI Assistant allows users to query security event data using natural language, which simplifies the process of identifying anomalies. It generates time series charts based on user queries, removing the need for complex filtering and enabling faster insights into security events.
What types of questions can you ask the AI Assistant?
Users can ask the AI Assistant various questions such as comparing attack traffic between regions, identifying sources of 5xx errors, and analyzing browser usage. This functionality helps users gain insights into their security data more effectively.
How does the AI Assistant convert queries into structured filters?
The AI Assistant uses a large language model to convert natural language queries into GraphQL filters. This allows users to make requests to Cloudflare's GraphQL APIs, gather data, and visualize it without exposing sensitive information to the AI model.
When will the AI Assistant be available to all users?
The AI Assistant is rolling out to all Business and Enterprise customers throughout March, allowing them to test its capabilities and provide feedback on its functionality.
Technologies & Tools
Some links below are affiliate links. We may earn a commission if you make a purchase.
Backend
AI/ML
Used to convert natural language queries into structured GraphQL filters.
Backend
Graphql
Utilized for querying security event data based on the filters generated by the AI Assistant.
Backend
Cloudflare Workers AI
The platform that hosts the AI model used for processing user queries.
Key Actionable Insights
1Utilize the AI Assistant to quickly identify traffic anomalies during security incidents.By asking direct questions about traffic patterns, users can gain insights faster than traditional methods, allowing for quicker responses to potential threats.
2Leverage the AI Assistant's ability to compare different data sets without complex filtering.This feature enables users to make informed decisions based on comprehensive comparisons, which is crucial during security assessments.
3Engage with the beta version of the AI Assistant to provide feedback for future improvements.User feedback is essential for refining the tool's capabilities, ensuring it meets the needs of security professionals effectively.
Common Pitfalls
1
Users may struggle with formulating effective natural language queries initially.
This can happen due to unfamiliarity with the AI Assistant's capabilities. To avoid this, users should start with simple queries and gradually explore more complex questions.