SIGNALInfrastructure Software·Jun 8, 2026, 1:00 PMSignal75Short term

Turning Cloudflare’s threat indicators into real-time WAF rules

Source: Cloudflare Blog

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Turning Cloudflare’s threat indicators into real-time WAF rules

Cloudflare customers can now use Cloudforce One threat intelligence directly within the WAF to block high-risk traffic. By using new cf.intel fields, security teams can automate protection against specific threat actors and targeted industries in real time.

Why this matters
Why now

The increasing sophistication and volume of cyber threats, coupled with the criticality of real-time defence, are pushing security providers to integrate threat intelligence more deeply into active protection mechanisms.

Why it’s important

This development represents a significant step towards more automated and intelligent cyber defence, enabling organizations to proactively block advanced threats targeting specific industries or leveraging particular threat actors, reducing response times and potential damage.

What changes

Cloudflare customers can now directly leverage Cloudforce One's threat intelligence within their WAF for automated, real-time protection, shifting from reactive to proactive security postures based on specific threat actor profiles.

Winners
  • · Cloudflare
  • · Cloudflare Customers (Security Teams)
  • · Cybersecurity Software Vendors
  • · Organizations in critical infrastructure
Losers
  • · Sophisticated Threat Actors
  • · Organizations with less advanced security infrastructure
  • · Manual Security Processes
Second-order effects
Direct

Cloudflare WAFs gain enhanced, real-time threat blocking capabilities based on Cloudforce One intelligence.

Second

Enterprises using Cloudflare will experience reduced successful cyberattacks and improved operational resilience against targeted threats.

Third

This pushes other WAF and security vendors to integrate similar real-time, actor-specific threat intelligence, accelerating a broader industry趨勢 towards more intelligent and automated defensive systems.

Editorial confidence: 95 / 100 · Structural impact: 60 / 100
Original report

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