verifeed
Verified AI Security Intelligence
Every morning, threat intel — aggregated, summarized, and fact-checked against the source — delivered to Slack, Teams, or email.
OVERVIEW
CVEs, vulnerability notes, vendor advisories, security news — there are too many sources to follow. verifeed aggregates them every morning, summarizes with AI, and cross-checks each summary against the primary source before delivery. Turn your team's morning triage from tens of minutes into minutes.
THE PROBLEM
- Too much to read, every single morning.
- AI summaries hallucinate — too risky to push straight to the team.
- Single-person dependency: when they're out, intel stops.
HOW IT WORKS
Aggregate multiple feeds (RSS / CVE / JVN / advisories / internal tickets …).
AI distills key topics with takeaways and recommended actions.
Each summary is checked against the primary source; errors and fabrications are reported by severity.
To Slack, Teams, email, or a report. Automatically, every morning.
fail-open by design — one dead source never stops the daily delivery.
WHY "VERIFIED"
Ordinary AI summaries state things confidently even when wrong. verifeed compares every summary against the source and flags mis-attributed CVE IDs, fabricated facts, and reversed meaning (CRITICAL / HIGH / MEDIUM / LOW). So you don't have to take the AI's word for it — you can run it in production.
SAMPLE
Daily Threat Intelligence Digest — 2026-06-06
82 new items (JPCERT 17 / JVN 20 / SANS ISC 10 / Hacker News 20 / BleepingComputer 15)
1. npm supply-chain attack (IronWorm / new Miasma
variant)
Summary: A Rust infostealer using an eBPF rootkit was injected
into 50+ legitimate packages.
Action: Inventory and isolate npm dependencies immediately.
A "fact-check report" (vs. the primary source) is appended automatically.
PRICING
¥500k–800k / fixed
One of your sources → verified daily digest → chat (Slack / Teams) + weekly roundup.
from ¥100k–200k/mo
Production run & tuning.
During the PoC we use public / synthetic data only. Connecting production-sensitive sources comes after a data-handling agreement.
SECURITY
- Data scope and sub-processors (the AI vendors used) disclosed up front.
- Liability cap & disclaimers in contract; human-in-the-loop by default.
- Local / air-gapped deployments available on request.
Aggregate, summarize, and verify — before anyone reads. Start with two weeks.
Talk to us →