15-Second summary

Researching a cyberattack typically means jumping between news sites, vendor blogs, and threat intel feeds to piece together what happened, who's behind it, and whether you have any exposure.

Cyberattack Insights Cards consolidate available information about an attack into a single dynamic view that updates as new information emerges. You can:

• Get complete attack context in one place, including threat actors, malware, IOCs, TTPs, CVEs, and a timeline of events, all aggregated from 10,000+ sources and continuously enriched as the situation evolves.

This blog demonstrates how the feature works and how it can accelerate your attack research and reporting.

Overview

When a major cyberattack hits the news, the race to understand what happened begins. Who was targeted? Which threat actor is responsible? What malware was used? Are there IOCs your team should be hunting for?

For most CTI analysts, answering these questions means opening dozens of browser tabs and jumping between news articles, vendor blogs, threat intel feeds, leak sites, and social media. You're manually piecing together fragments of information while trying to build a coherent picture, all as the situation continues to evolve.

The Cyberattack Insights Cards provide a 360° view of a specific cyberattack with all the context you need to assess the potential threat quickly.

Behind every Cyberattack Insights Card is Feedly's Threat Graph, which constantly processes and analyzes content from over 10,000 trusted cyber sources. Using machine learning models, Feedly AI extracts and correlates key entities from this content: victims, impacted industries, threat actors, malware families, exploited CVEs, IOCs, and TTPs. As Feedly continues monitoring sources, all entities linked to the attack are continuously updated.

What's inside a Cyberattack Insights Card

When you open a Cyberattack Insights Card, you get a structured view of everything Feedly’s Threat Graph has collected about the attack.

• Top-level information for immediate context: when the attack was first reported, last updated, article count, and key attributes like attack type, threat actors, malware, and impacted industries.
• Attack summary providing a dynamic, AI-generated overview synthesized from multiple sources with inline citations. It updates automatically as new information emerges.
• Victim information with details about the targeted organization.
• IOCs exportable in STIX 2.1, MISP, or CSV formats for integration with your security tools.
• Timeline of events showing how the attack unfolded chronologically.
• Associated threat actors, malware, TTPs, and CVEs with clickable links to their respective Insights Cards for deeper investigation.
• Article count graph visualizing coverage trends over time.
• Articles with links to original sources when you need to verify details or go deeper.

Ask specific questions about a cyberattack with Ask AI

One of the most powerful features in Cyberattack Insights Cards is Ask AI. It analyzes all the content from the Insights Card and produces tailored responses in seconds, whether you need a technical breakdown for your team, an executive summary for leadership, or answers to specific questions about the attack itself. What sets Ask AI apart from general AI tools is the context behind every answer: Feedly automatically grounds your prompt in relevant, curated intelligence, so the responses are more accurate, more specific, and ready to copy directly into reports, emails, or documentation with no manual synthesis required.

In short…

Cyberattack Insights Cards transform how you research and respond to attacks. Instead of manually hunting across scattered sources and struggling to keep up with evolving incidents, you get a single, comprehensive view that updates automatically as Feedly’s Threat Graph learns more.

Whether you're conducting deep-dive analysis, responding to stakeholder questions, preparing for briefings, or monitoring ongoing incidents, Cyberattack Insights Cards provide the complete context you need without the manual research burden.