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Snowflake Software / SaaS Tel Aviv-Yafo, Israel

Vulcan Cyber

Security and Compliance

prioritize cyber risk across many security tools and threat feeds fast enough to give customers clear remediation guidance and scalable automation.

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1 day to build a new AI summarization model
100 threat intelligence sources integrated in the Snowflake AI Data Cloud
the kind of work that could take a company days can now be done in an hour

Reported impact

Business outcome

Vulcan Cyber can now integrate more than 100 threat feeds, deliver complex analysis work in about an hour instead of days, and build new AI summarization capability in a single day.

  • Productivity Improvement
  • Risk Reduction
  • Scalability

Solution

Vulcan Cyber uses Snowflake and its ExposureOS platform to aggregate billions of security signals into a scalable cyber-risk analytics and remediation service. Findings from security scanners, asset inventories, more than 100 threat intelligence feeds, and customer-specific business-context sources are centralized in Snowflake, where they are correlated, deduplicated, and scored to prioritize the vulnerabilities that matter most. ExposureOS serves the resulting risk scores, customizable reports, remediation guidance, and automation workflows to customer teams, while new AI features help users search in natural language and read human-friendly CVE summaries. Because Snowflake provides the throughput to ingest huge datasets and keep analysis close to the data, Vulcan can deliver timely insights, support full automation options, and add new AI models quickly instead of fighting scale limits.

Data flow

Security findings, asset inventories, and over 100 threat intelligence feeds are ingested into Snowflake, where they are deduplicated and enriched with customer business context. ExposureOS then presents the prioritized vulnerabilities, AI-generated summaries, and remediation actions to security teams.

Solution architecture

2 components · 2 layers
  1. Storage
    • Snowflake Stores and processes Vulcan Cyber’s unified threat, asset, and business-context datasets at scale.
  2. Serving
    • ExposureOS Delivers prioritized risk views, remediation guidance, reporting, and automation workflows to customers.

Architecture clues

  • ExposureOS can orchestrate remediation with ticketing tools and fully automated options.
  • Snowflake runs as the central store for Vulcan Cyber’s entire data landscape on AWS.
  • The platform uses AI to create human-readable CVE summaries and natural-language search.

Evidence from the source

1 day to build a new AI summarization model
100 threat intelligence sources integrated in the Snowflake AI Data Cloud
We use generative AI to produce new, human-readable IDs for discovered CVEs
the kind of work that could take a company days can now be done in an hour
Transparency Evidence & methodology 90/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Snowflake

    Vulcan Cyber customer story

    First-party
    https://www.snowflake.com/en/customers/all-customers/case-study/vulcan-cyber/
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Jan 16, 2025 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Jul 9, 2026 · Snowflake · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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