ServiceNow Software / SaaS United States

Elisity

Security and Compliance

Elisity's IdentityGraph could discover assets and basic identity signals but lacked detailed threat, vulnerability, and component information needed to build effective security segmentation policies.

125 employees benefit from two-way bidirectional data sharing
Developer portal experience rated 10/10 for clarity and ease of use

Reported impact

Business outcome

The integration gives customers detailed asset context for risk-based segmentation and can help contain ransomware or other threats by enforcing policies around high-risk devices. The source reports positive customer feedback but no security or financial outcome metric.

  • Compliance
  • Risk Reduction

Solution

Elisity integrated Armis from ServiceNow with its IdentityGraph and control plane to enrich identity-based network security with AI-powered asset intelligence. Through the Armis API, Elisity receives risk scores, vulnerability details, serial numbers, firmware versions, and industrial-control context, then combines those attributes with identity signals to group assets and build segmentation policies. Elisity processes the information in its backend and uses large language models to map trends in the cyber-threat landscape and help refine policies for customer environments. The integration is bidirectional: Armis data informs Elisity policy, and Elisity shares policy-enforcement status back to Armis so customers can identify assets that are or are not protected. The source describes APIs and backend processing but does not name model or hosting products.

Data flow

Armis asset attributes flow through its API into Elisity IdentityGraph, where identity signals and threat context inform LLM-assisted trend analysis and policy creation; Elisity's control plane enforces segmentation and returns enforcement status to Armis.

Solution architecture

4 components · 4 layers
  1. Ingest
    • Armis from ServiceNow Supplies AI-powered asset intelligence, risk scores, vulnerabilities, and device attributes for security decisions.
  2. Compute
    • Elisity IdentityGraph Combines identity signals and Armis attributes to build context-aware asset groups and segmentation policies.
  3. Serving
    • Elisity control plane Distributes and enforces the network-segmentation policies created from enriched asset context.
  4. Uncategorized
    • Armis API Transfers asset intelligence into Elisity and receives policy-enforcement status in return.

Architecture clues

  • Elisity's backend uses large language models to map cyberthreat trends
  • Integration uses Armis APIs and shares enforcement status bidirectionally
  • Security policies are enforced by the Elisity control plane

Evidence from the source

"After Elisity discovers an asset, it uses detailed Armis data pulled from hundreds of customers into large language models that map out trends in the cyberthreat landscape."
"Integration with Armis allows Elisity to identify the assets with the highest risk and use that knowledge to put protections in place."
Transparency Evidence & methodology 71/100 reference value · 73% confidence · 2 sources

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 value71/100
  • 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 specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence73%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence10/20
    2 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency10/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    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. ServiceNow

    Elisity microsegmentation platform enriches asset intelligence

    First-party
    https://www.servicenow.com/customers/elisity.html
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Industry
    • Region
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
  2. Revelio Labs

    How many employees does Elisity have?

    Independent secondary
    https://www.reveliolabs.com/companies/elisity/employees

    Revelio Labs reports that Elisity, Inc. employs 153 people worldwide as of June 2026; the sourced count is below 250.

    Source type
    Structured company profile
    Supports
    • Company size

Date evidence

  • Sitemap last modified Oct 30, 2026 · ServiceNow · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source