Use Case Intelligence RSS Search use cases Search
AWS Software / SaaS Europe

WithSecure

Security and Compliance

WithSecure's solutions make cybersecurity accessible for mid-market companies that might not have specialized knowledge or security operation centers.

Read the original story Explore all use cases
The Security Awareness Assistant analyzes complex data tables to provide a 7-day overview of the organization's security status in a few paragraphs.

Reported impact

Business outcome

Customers use the comprehensive analysis on Luminen to remediate issues on their own, reducing the need to involve the Elements team. "It's very rare to get so much praise," says Tasiemski.

  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

Cybersecurity company WithSecure wanted to make it simpler for customers to understand the organizational security status and make informed decisions faster. It used Amazon Web Services (AWS) to build Luminen, a generative artificial intelligence (AI) assistant that helps organizations detect and respond to security events faster, minimizing damage and reducing downtime. Development began in December 2023 with an internal hackathon, and a public beta release came in May 2024. "Luminen was one of the fastest cases of building a product from scratch, and it wouldn't have been possible without Amazon Bedrock being a managed service," says Tasiemski. After collecting feedback and making usability improvements, WithSecure launched Luminen in September 2024.

Solution architecture

2 components · 2 layers
  1. Compute
    • Amazon Bedrock Runs the foundation model layer for the security analysis and compliance workflows.
  2. Storage
    • Amazon Neptune Stores graph relationships used by the security analysis and compliance workflows.

Architecture clues

  • It is also working on a subscription-based version, Luminen Pro, which will provide Luminen's skills through API access, generate monthly and quarterly security overviews to align with customers'...
  • Over its years of cybersecurity expertise, WithSecure has used technologies like Amazon Neptune —a serverless graph database—to build knowledge graphs and store relationships between security events.

Evidence from the source

"Cost efficiency and the availability of Amazon Bedrock in European AWS Regions were important for us too." Amazon Bedrock's robust data protection and privacy were a good fit with WithSecure's stringent security standards as well.
"Luminen was one of the fastest cases of building a product from scratch, and it wouldn't have been possible without Amazon Bedrock being a managed service," says Tasiemski.
After collecting feedback and making usability improvements, WithSecure launched Luminen in September 2024.
By choosing Amazon Bedrock —a fully managed service that offers a choice of high-performing foundation models—WithSecure eliminated the complexity and expense of self-hosting foundation models.
It used Amazon Web Services (AWS) to build Luminen, a generative artificial intelligence (AI) assistant that helps organizations detect and respond to security events faster, minimizing damage and reducing downtime.
Since it already used AWS, its privacy standards and processes were built around AWS.
Transparency Evidence & methodology 75/100 reference value · 77% 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 value75/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    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 scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • 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
    6 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 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. AWS

    WithSecure customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/withsecure/
    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 Jun 16, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Related

Similar use cases

See all like this
AWS Jul 25, 2024 Elastic Software / SaaS Global Elastic aims to help customers find information faster while running their applications smoothly and protecting against cyberthreats. Operating from the premise that search functionality is fundamental to critical… Enterprise Knowledge SearchSecurity and Compliance Amazon Bedrock AWS Apr 22, 2024 VIVOTEK Software / SaaS global VIVOTEK needed to launch a secure, scalable cloud surveillance platform quickly without spending time building custom camera-to-cloud infrastructure or diverting engineering effort away from new AI-powered features. 12 months Security and Compliance AWS IoT Core · Amazon DynamoDB · Amazon EC2 AWS Jan 17, 2024 Veriff Software / SaaS Estonia In today’s connected world, knowing who’s on the other side of a screen isn’t a luxury—it’s a requirement. Every online transaction, every new account sign-up, and every access request hinges on making sure that people… 1 second Fraud DetectionSecurity and Compliance Amazon Rekognition · Amazon SageMaker