Editorial Standards &
AI Guidelines

CyberPings tracks over 100+ cybersecurity news outlets, vendor blogs, and security research agencies. We exclusively index reputable, fact-checking journalism from organizations such as CISA, BleepingComputer, The Hacker News, Dark Reading, Mandiant, Microsoft Security, and Project Zero.

We do not publish content from unverified forums, social media rumors, or low-quality content farms. Sources must demonstrate a track record of objective technical reporting to be included in our index.

When breaking news is detected across our tracked sources, it enters our ingestion pipeline. We explicitly utilize LLMs (Large Language Models) to extract key points, technical terminology, and contextual analysis.

How we mitigate hallucinations: Our AI models are heavily constrained using strict system prompts (Retrieval Augmented Generation). They are instructed to summarize only the provided text from the original authors, and never introduce external "facts."

Before publishing, summaries are human-reviewed to ensure technical accuracy, accurate categorization, and removal of any AI-generated anomalies.

Threat intelligence moves fast. Often, multiple outlets will cover the same cyberattack or vulnerability from different perspectives. When CyberPings detects duplicate coverage, our pipeline retroactively merges them into a unified "Ping".

This means the article you read represents the synthesized knowledge of all available reporting up to that minute. Every participating source is properly cited and linked in the "Reporting by" byline.