Can AI make threat intelligence easier? One platform thinks so
Feedly positions its AI-driven Threat Intelligence platform to cut CTI collection time, scanning 10,000+ sources with 1,000 AI models and reporting 70% time savings.
A profile of Feedly Threat Intelligence describes how CTI teams such as RH-ISAC reduced threat data collection from 10 hours weekly to 2-3 hours after adoption. The platform scans over 10,000 open web sources using 1,000 AI models to extract TTPs, CVEs and IoCs into a real-time Threat Graph queryable via an Ask AI LLM with source citations. Customers including GreyNoise, Sopra Steria, gematik and GISA reported measurable gains such as 20 hours saved daily and earlier vulnerability flagging than CISA 65% of the time. The product integrates with Anomali ThreatStream, Cortex XSOAR, Microsoft Sentinel and OpenCTI, plus a REST API and GitHub scripts.
- RH-ISAC cut weekly CTI collection time from 10 hours to 2-3 after adopting the platform
- 1,000 AI models extract TTPs, CVEs and IoCs from 10,000+ sources into a Threat Graph
- GreyNoise detections grew from 290 (2023) to 573 (2024); flagged vulnerabilities before CISA 65% of the time
- GISA reports 20 hours saved per day by automating vulnerability checks into its ticketing system
- Integrations cover Microsoft Sentinel, OpenCTI, Cortex XSOAR, Anomali ThreatStream plus REST API
- Products
- Feedly Threat Intelligence
- Organizations
- RH-ISAC
- AI models
- Ask AI
From the original article
3 min read at helpnetsecurity.com
When analysts at RH-ISAC found themselves spending 10 hours a week just collecting threat intelligence , they knew their process wasn’t sustainable. They were manually tracking blogs, RSS feeds, and social media channels, but it took too long to separate useful signals from irrelevant chatter.
By @helpnetsecurity · helpnetsecurity.com
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