Microsoft Commercial and Professional Services India

LTIMindtree

Security and Compliance

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.

Mergers and manual processes Before November 2022, LTIMindtree was divided into two separate companies.
The 30-person SOC (security operations center) team oversees the entire cybersecurity operations with state-of-the-art technologies based on artificial intelligence, machine learning, and integrated threat intelligence.

Reported impact

Business outcome

Within a couple of months after implementing Microsoft Defender Experts for Hunting, LTIMindtree received at least six notifications that they otherwise wouldn’t have, which were critical for taking remediation action at the initial stages and protecting the company from an escalated threat.

  • Compliance
  • Productivity Improvement
  • Risk Reduction

Solution

LTIMindtree standardized identity, device, or threat operations on Microsoft Defender Experts for Hunting, Microsoft Defender XDR, and Microsoft Copilot for Security after determining that LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and.... Signals from endpoints, identities, email, and cloud services are brought into one governed operating model so analysts or IT teams can work from a smaller number of tools and policies instead of stitching together manual processes. Cloud-managed controls handle tasks such as access governance, patching, compliance, hunting, or endpoint rollout, which means the security and operations posture improves as part of the platform itself rather than as a separate project. This gives the organization a faster path from detection or policy change to remediation while reducing operational drag on employees, and Within a couple...

Data flow

Endpoint, identity, email, and cloud-service signals flow into the Microsoft control plane, where policy or hunting services prioritize issues and feed updates, remediation steps, or alerts back to analysts and administrators.

Solution architecture

3 components · 2 layers
  1. Serving
    • Microsoft Copilot for Security Helps analysts investigate incidents and understand complex security signals faster during active operations.
  2. Governance
    • Microsoft Defender Experts for Hunting Provides managed hunting that surfaces high-confidence threats for the SOC to remediate.
    • Microsoft Defender XDR Correlates endpoint, identity, email, and cloud-app signals for investigation and response.

Architecture clues

  • Mergers and manual processes Before November 2022, LTIMindtree was divided into two separate companies.
  • Primary implementation components: Microsoft Defender Experts for Hunting, Microsoft Defender XDR, Microsoft Copilot for Security
  • The 30-person SOC (security operations center) team oversees the entire cybersecurity operations with state-of-the-art technologies based on artificial intelligence, machine learning, and integrated threat intelligence.

Evidence from the source

Additionally, it wanted to improve the efficiency of its SOC team by optimizing in-house resources for proactive hunting coverage, so the team could focus on other critical SOC activities.
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.
LTIMindtree turned to Microsoft for a solution and implemented Microsoft Defender Experts for Hunting, a human-led managed service designed to augment a SOC’s threat hunting capabilities to prioritize significant threats.
The company wanted the ability to perform proactive threat hunting beyond the usual endpoints and extend detection to identity, email, and cloud apps.
Transparency Evidence & methodology 66/100 reference value · 87% 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 value66/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    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 confidence87%
  • 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 provenance10/10
    The publication date comes from the source page or publisher.
  • 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. Microsoft

    LTIMindtree customer story

    First-party
    https://www.microsoft.com/en/customers/story/1702092663907732410-ltimindtree-microsoft-defender-experts-india
    Source type
    Vendor-published customer story
    Published
    Nov 17, 2023
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Nov 17, 2023 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.