Google Cloud Commercial and Professional Services Indonesia

PT Astra Graphia IT

IT Operations Automation · Security and Compliance

AGIT needed to scale a managed security operations center that could meet Indonesian data-residency requirements, reduce noisy alert handling, and standardize detection engineering for enterprise customers.

AGIT scales its enterprise Managed SOC in Indonesia using Google SecOps, Gemini, and Mandiant to drive 15% faster response times.
Accelerated weekly detection rule creation by 300% and raised the detection true-positive rate by 10% by applying the
Cut threat detection and response times (MTTD/MTTR) by 15% with
Increased MITRE ATT&CK coverage by 10%, deliberately closing detection gaps across relevant techniques on

Reported impact

Business outcome

AGIT improved SOC response speed, raised true-positive rates, and made enterprise security due diligence easier for clients operating under strict compliance requirements.

  • Compliance
  • Productivity Improvement
  • Risk Reduction

Solution

PT Astra Graphia IT uses Google Cloud to address this challenge: AGIT needed to scale a managed security operations center that could meet Indonesian data-residency requirements, reduce noisy alert handling, and standardize detection engineering for enterprise customers. Google SecOps anchors the managed SOC for threat detection, investigation, and response inside the Indonesia region, serving as the serving layer. Gemini assists triage workflows and helps analysts respond to incidents faster, serving as the compute layer. Mandiant provides the detection engineering framework, assessments, playbooks, and operational uplift used to improve SOC maturity, serving as the governance layer. Identity and Access Management Workforce Identity Federation enforces tightly controlled access across the platform and backend integrations, serving as the governance layer. Compute Engine supports backend integrations used by the managed SOC platform, serving as the compute layer.

Data flow

Security operations data is centralized in Google SecOps, Gemini-assisted workflows help analysts triage and respond, Mandiant strengthens detection content and playbooks, IAM Workforce Identity Federation governs access, and Compute Engine plus Cloud Run host the backend integrations behind the service.

Solution architecture

6 components · 3 layers
  1. Compute
    • Gemini assists triage workflows and helps analysts respond to incidents faster
    • Compute Engine supports backend integrations used by the managed SOC platform
  2. Serving
    • Google SecOps anchors the managed SOC for threat detection, investigation, and response inside the Indonesia region
    • Cloud Run hosts backend integrations that connect operational services into the SOC workflow
  3. Governance
    • Mandiant provides the detection engineering framework, assessments, playbooks, and operational uplift used to improve SOC maturity
    • Identity and Access Management Workforce Identity Federation enforces tightly controlled access across the platform and backend integrations

Architecture clues

  • Detection rule creation accelerated by 300% and true-positive rates increased by 10%
  • Google SecOps runs in the Indonesia region to keep customer data in-country
  • The company used Google Cloud and Mandiant to support SOC 2 attestation

Evidence from the source

AGIT scales its enterprise Managed SOC in Indonesia using Google SecOps, Gemini, and Mandiant to drive 15% faster response times.
AGIT's platform runs on tightly controlled access, enforced through Identity and Access Management (IAM) Workforce Identity Federation (WIF), with backend integrations built on Compute Engine Cloud Run.
Accelerated weekly detection rule creation by 300% and raised the detection true-positive rate by 10% by applying the
Automated triage and Gemini-assisted workflows cut mean time to detect and respond (MTTD/MTTR) by roughly 15%.
Cut threat detection and response times (MTTD/MTTR) by 15% with
Increased MITRE ATT&CK coverage by 10%, deliberately closing detection gaps across relevant techniques on
Transparency Evidence & methodology 95/100 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 value95/100
  • 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 specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics 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
    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 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. Google Cloud

    PT Astra Graphia IT customer story

    First-party
    https://cloud.google.com/customers/agit
    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 Oct 2, 2026 · 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 Sep 22, 2026 · Google Cloud · 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.