Executive Summary

Security and infrastructure teams today suffer from blind spots because point-in-time scans produce flat lists of assets that miss lateral relationships and historical drift, slowing investigations and increasing operational risk; this is a practical problem for a broad market (160,000 organizations × $30K ACV = $4.8B TAM). Continuous attack-surface management that preserves context and history is becoming table stakes, and teams frequently need to answer “what changed and how are things connected” quickly. You could build a developer tool that continuously crawls and models internet-facing infrastructure as a time-series graph (domains, IPs, services, configs) with provenance and confidence scoring, enriched by vector search and LLM-driven natural-language querying for triage and forensics. The product would expose path-finding for lateral exposure, historical diffs, and exportable findings into SIEMs and ticketing systems to drive remediation workflows. This is an attractive moment: market trends favor continuous, relationship-based security and LLM-enabled query surfaces, reflected in a Market Score of 88/100 and Revenue Potential of 82/100, so go-to-market and pricing (targeting $30K+ ACV) are realistic for mid-to-large orgs. To stand out you’ll need rigorous data provenance, low-noise inference models, and deep integrations to build trust against medium competition; leveraging graph-native storage plus vector/LLM UX can make complex analysis accessible to non-experts. Be upfront that the main challenges are scale/freshness of crawling, legal/data-collection limits, and initial trust—mitigate these with pilot programs, clear confidence metrics, and optional managed updating to accelerate adoption.

Market Opportunity

Browse and map the internet's hidden infrastructure as a graph targets a $4.8B = 160,000 organizations × $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% YoY (source: MarketsandMarkets / Gartner estimates for security data and attack-surface markets).

Key trends driving demand: Attack surface management is becoming continuous rather than point-in-time — this creates demand for tools that maintain historical context and relationships.; Graph and relationship-based security analysis is gaining traction because it surfaces lateral connections that flat lists miss, enabling faster investigations.; LLMs and vector search enable natural-language querying of complex datasets, lowering the barrier for non-experts to explore infrastructure relationships.; Growing regulatory focus on supply-chain and third-party risk increases demand for tools that map infrastructure dependencies..

Key competitors include Shodan, Censys, SecurityTrails.

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Browse and map the internet's hidden infrastructure as a graph

Executive Summary

Market Validation

Market Opportunity

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