Dolutech Threat Network — Collective Defense Without Feed Noise

Dolutech Threat Network — Collective Defense Without Feed Noise

Threat intelligence feeds promise early warning. In practice, most SMEs drown in indicators of compromise (IOCs) that never match real attacks in their environment. Raw feeds generate noise; noise generates alert fatigue; alert fatigue means real threats slip through.

The problem with raw threat feeds

Public and commercial threat feeds publish millions of IOCs — IP addresses, domains, file hashes — often without context about who was actually attacked or whether the indicator is still active. For a small security team (or an AI agent handling volume), filtering signal from noise becomes the bottleneck. False positives waste analyst time and erode trust in automated detection.

  • Unvalidated IOCs: Indicators published without proof of active exploitation.
  • No environmental context: A hash dangerous elsewhere may be irrelevant to your stack.
  • Alert fatigue: High-volume feeds overwhelm detection pipelines.
  • Stale intelligence: Outdated indicators block legitimate traffic or miss current campaigns.

Community-validated intelligence only

The Dolutech Threat Network takes a different approach: selective sharing after confirmed SOC hits and incidents. When SOC AI Agent detects a real threat in a customer environment — a confirmed match, not a theoretical rule — relevant IOCs can contribute to the network. Other participants benefit from intelligence that has already been validated in live operations, not scraped from open sources.

This is collective defense for SMEs: you contribute when you are hit (anonymised and controlled), and you receive indicators that other members' SOCs have already seen fire in production. No raw feed dumps. No unverified hash lists. Intelligence that earned its place through operational confirmation.

Explore how the Threat Network integrates with SOC AI Agent on the product page.

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