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Reference edition 2026.46

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Redcoat AI vs falc0n

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Redcoat AI compared with falc0n
DetailRedcoat AI logo Redcoat AIfalc0n logo falc0n
What it doesAI-native security platform protecting teams from AI-powered cyber threats on mobile Independent security researcher mapping India and APAC's exposed attack surface at internet scale
StageNot given Not given
FoundedNot given Not given
Based inNot given IN
Pricing modelContact for pricing Not given
PricingNot given Not given
Key features
  • Red teaming platform with realistic social engineering simulations
  • Pretender tool for hyper-realistic targeted simulations
  • Vulnerability assessment and reporting
  • Enterprise dashboard with actionable insights
  • Intent-based defense engine
  • Defender mobile app for comprehensive channel protection
  • Global attack trend monitoring
  • Ever-evolving attack scenario library
  • Internet-scale sweeps of India and APAC address space for exposed infrastructure
  • Manual verification of all findings before publication
  • Mapping of findings to DPDP Act and ISO 27001 compliance frameworks
  • Detection of exposed Swagger and OpenAPI specifications with 38% of specs exposing unauthenticated routes
  • GraphQL introspection scanning finding 2,159 services exposing full schema without authentication
  • proxy2model tool to map web applications from captured traffic
  • cvecheck series assessing CVEs with affected scope and exploitation evidence
What makes it different
  • AI-native platform specifically designed for generative AI-powered threats
  • Intent-based engine that adapts to changing attack tactics and semantics
  • On-demand red teaming simulations for continuous team awareness
  • Team founded by seasoned AI and cybersecurity experts
  • Focus on India and APAC region often overlooked by mainstream security research
  • Country-scale studies verified by manual re-check rather than relying on scanner output alone
  • Open-source tools built from patterns discovered during research
  • Research published with governance context and remediation playbooks
  • Detailed findings on infrastructure exposures with specific counts and evidence
Community votes00
DR (Domain Rating by Ahrefs)33 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)30
Citation Flow (Majestic)140
Referring domains (Majestic)480

3 details filled in for both companies.

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