Starting point
Typical implementation
Collect as many logs as possible, then create rules and dashboards later.
How ICS takes responsibility
Start with risk, observable behavior, required data, and the decision an analyst must make.
Security OperationsPRODUCT PORTFOLIO
Unify security telemetry, behavioral analytics, identity signals, and automated response in a modern SOC platform.
AI SOC
Reduce alert noise, identify material threats earlier, and shorten investigation and response time.
Use these areas to confirm fit, dependencies, ownership, and the evidence required for acceptance.
- Next-generation SIEM
- Collect, normalize, correlate, and retain security data around priority use cases.
- AI and behavioral analytics
- Surface anomalous user, entity, and identity activity with operational context.
- Threat detection
- Connect signals across endpoint, identity, network, cloud, and application sources.
CONTROL AND EVIDENCE
What the first scoped conversation should clarify.
Use these areas to confirm fit, dependencies, ownership, and the evidence required for acceptance.
Collect, normalize, correlate, and retain security data around priority use cases.
Surface anomalous user, entity, and identity activity with operational context.
Connect signals across endpoint, identity, network, cloud, and application sources.
APPROACH COMPARISON
Compare a log-collection SOC with a detection and response model that teams can operate.
AI SOC succeeds when data, use cases, investigation, automation, and response ownership form one operating chain.
Investigation and priority
Typical implementation
Analysts pivot across separate tools and handle alerts one severity at a time.
How ICS takes responsibility
Connect behavior, identity, and risk context into prioritized cases with runbooks and explicit response steps.
Acceptance and handover
Typical implementation
Go live when collectors, dashboards, and rule counts are available.
How ICS takes responsibility
Accept against use-case coverage, data quality, false-positive handling, investigation time, and internal SOC readiness.
WHY ICS
ICS turns AI SOC technology into detection and response capability for the environment already in place.
The vendor supplies the platform; ICS owns use-case selection, data integration, validation, and SOC handover inside your environment.
Use cases before log volume
ICS prioritizes valuable risk scenarios, the minimum required data, and investigation criteria before expanding ingestion.
Integration before default replacement
Existing data sources, security tools, and workflows are assessed so useful capability stays in place and gaps remain explicit.
Handover to the internal SOC
Operations receive the data matrix, detection logic, playbooks, escalation model, and optimization cadence needed after go-live.
CONTROL AND EVIDENCE
Reduce alert noise, identify material threats earlier, and shorten investigation and response time.
Unify security telemetry, behavioral analytics, identity signals, and automated response in a modern SOC platform.
Next-generation SIEM
Collect, normalize, correlate, and retain security data around priority use cases.
AI and behavioral analytics
Surface anomalous user, entity, and identity activity with operational context.
Threat detection
Connect signals across endpoint, identity, network, cloud, and application sources.
Response automation
Use playbooks to enrich, route, contain, and document repeatable actions.
PRODUCT PORTFOLIO
Six products, each with a distinct responsibility in the operating model.
Use the directory to identify the closest control layer, then validate fit through a scoped assessment or workshop.
Mobile Application Security
Explore Endpoint & Data Protection
Explore Conversational AI Platform
Explore
VietGuard
Embed application protection into the release lifecycle without slowing delivery.
CSA Endpoint
Control sensitive data and risky endpoint activity with evidence that can support operations and compliance.
V AI Agent
Keep customer experience, workflow, brand, and data governance under enterprise control.
Reduce alert noise, identify material threats earlier, and shorten investigation and response time.
Unify security telemetry, behavioral analytics, identity signals, and automated response in a modern SOC platform.
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