Feedly Threat Intelligence
by Feedly · AI threat intelligence collection and reporting for CTI teams
BenchRank score
Screenshots of Feedly Threat Intelligence
Homepage
Overview
Feedly Threat Intelligence collects security signals from over 10,000 clear and dark web sources and uses AI models to extract entities, tag TTPs and identify incidents. A threat graph links articles to threat actors, CVEs, malware families and IoCs, while Ask AI and a report builder turn that into briefings. Intel can be delivered through STIX, MISP, XSOAR and Slack integrations.
- Best for
- CTI teams collecting open-source threat intel and producing briefings for security stakeholders
- Pricing
- No prices are shown: both the Standard and Advanced plans are quoted on request, with paid add-ons for third-party intelligence, dark web agents and commercial access.
- Runs on
- AndroidBrowser extension
Strengths and trade-offs
Strengths
- Collects from 10,000+ clear and dark web threat sources
- AI answers carry deep citations back to the original source
- Threat graph links CVEs, actors, malware families and IoCs
- STIX API plus OpenCTI, XSOAR, MISP and Slack integrations
Trade-offs
- No prices published; both plans are quoted on request
- Integrations, STIX API and agents need the Advanced plan
- Third-party intel, dark web and commercial access cost extra
- AI Feeds capped at 50 on Standard and 100 on Advanced
How Feedly Threat Intelligence markets itself
A structured read of the promise, proof and page design on Feedly Threat Intelligence’s captured homepage.
Homepage capture
“The fastest way to track emerging threats with AI”
- Angle: Speed / time-to-value
- Hero: Animated walkthrough
Pricing
Published plans and prices from Feedly Threat Intelligence’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Customer sentiment
Third-party ratings, shrunk toward the catalogue mean by review volume and corroborated across independent sources.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Feedly Threat Intelligence pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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