Source URL: https://blog.cloudflare.com/cloudy-driven-email-security-summaries/
Source: The Cloudflare Blog
Title: Cloudy Summarizations of Email Detections: Beta Announcement
Feedly Summary: We’re now leveraging our internal LLM, Cloudy, to generate automated summaries within our Email Security product, helping SOC teams better understand what’s happening within flagged messages.
AI Summary and Description: Yes
Summary: The text outlines Cloudflare’s initiative to enhance email security through AI-powered solutions, specifically focusing on the challenges associated with rapid email threat detection and the issues of model hallucinations. It describes the introduction of “Cloudy,” an AI agent designed to translate complex detection rules into understandable summaries for Security Operations Center (SOC) teams, thereby improving their response to security threats.
Detailed Description:
– Organizations are increasingly facing threats from advanced email attacks such as phishing and business email compromise (BEC).
– Cloudflare monitors significant internet traffic, processing billions of email threat signals daily using AI and machine learning models for rapid detection and blocking of malicious emails.
– A primary challenge is the communication gap between detection analysts and SOC teams, where intricate detection rules lack clarity for those investigating incidents.
– The example of the rule “BEC.SentimentCM_BEC.SpoofedSender” illustrates how complex the underlying detection logic can be without clear context, often leaving SOC teams guessing about the logic behind the rules.
– In response, Cloudflare introduced “Cloudy,” an AI-powered agent that simplifies detection logic into clear explanations to assist SOC teams in their investigations.
– The text mentions the issue of “hallucination” in large language models (LLMs), where the model may generate inaccurate information about email messages leading to potential security breaches.
– To mitigate hallucination risks, Cloudflare has implemented guardrails, including:
– Retrieval-Augmented Generation (RAG) to ensure that the model only accesses relevant detection data
– Contextual information to enhance understanding of specific detection models and terms used.
– Current results from Cloudy indicate improved accuracy in providing understandable summaries of email detections with minimal hallucinations.
– Cloudflare is launching a beta program for Cloudy’s email detection summaries to test and verify outputs for quality assurance before a wider rollout.
– Additionally, Cloudflare offers a free “Retro Scan” tool to all organizations, enhancing their ability to identify and remediate existing email threats.
Overall, this development carries significant implications for professionals in email security and SOC environments, as it not only aims to enhance detection accuracy but also streamline the investigation process, ultimately improving organizational resilience against email-based threats.