Noisy or incomplete telemetry
Log sources are onboarded inconsistently, creating blind spots and alert fatigue.
SIEM and SOC
A SIEM that cries wolf gets ignored. We tune Sentinel to be trusted.
Sentinel is a powerful cloud-native SIEM — and badly configured, it's an expensive noise machine. We connect the right data sources, tune detection rules to your environment, and build automation so real incidents get attention and false positives don't drown them. We also watch ingestion cost, because Sentinel bills on data.
Discuss Microsoft Sentinel
Architecture
flowchart LR
subgraph Sources
CLOUD[Cloud Logs]
EP[Endpoints]
IDS[Identity]
NETS[Network]
end
Sources --> ING[Sentinel Ingestion]
ING --> RULES[Detection Rules]
RULES -->|match| INC[Incident]
INC --> SOAR[Automated Playbook]
INC --> ANALYST[Analyst Review]
RULES -. continuous tuning .-> RULES
flowchart LR
subgraph Sources
CLOUD[Cloud Logs]
EP[Endpoints]
IDS[Identity]
NETS[Network]
end
Sources --> ING[Sentinel Ingestion - untuned]
ING --> A1[Alert]
ING --> A2[Alert]
ING --> A3[Alert]
ING --> A4[Alert]
ING --> A5[Alert]
ING --> A6[Alert]
A1 --> FATIGUE[Analyst alert fatigue]
A2 --> FATIGUE
A3 --> FATIGUE
A4 --> FATIGUE
A5 --> FATIGUE
A6 --> FATIGUE
Detection rules matched to the environment surface real incidents only.
Default, untuned rules flood the queue — real incidents get lost in noise.
Business challenges
Microsoft Sentinel challenges we solve.
Every recommendation starts with business pressure, technical risk and the operating model required after launch.
Generic detection rules
Default analytics rules generate noise instead of relevant, actionable alerts.
No response workflow
Detections are not connected to a documented incident and playbook process.
Solution overview
Microsoft Sentinel designed for production readiness.
We connect the right data sources, tune detection rules to your environment, and build automation so real incidents get attention and false positives don't drown them. We also watch ingestion cost, because Sentinel bills on data.
Log onboarding
Connect the data sources that are actually relevant to real detection use cases.
Analytics rules
Detection rules tuned to your environment instead of left at default sensitivity.
Incident workflows
Automation so real incidents get attention and false positives don't drown them.
Cost-aware ingestion
Retention and workspace design that keeps ingestion cost predictable.
Architecture model
A practical delivery architecture before implementation begins.
We define the target operating model, controls, integration points and ownership path before building, so the solution can be supported after launch.
CloudevTech
Enterprise delivery model
01
Discover
02
Architect
03
Implement
04
Validate
05
Operate
Our approach
Structured delivery from discovery to operational handover.
Every engagement is shaped around the service goal, current constraints and the operating model your team needs after launch.
Plan telemetry sources
Identify which logs are relevant to real detection use cases.
Onboard and tune
Connect log sources and tune analytics rules to reduce noise.
Build response workflows
Create playbooks and incident processes for the SOC to follow.
Monitor ingestion cost
Review retention and workspace design to keep costs predictable.
Business benefits
Outcomes designed for decision makers and delivery teams.
Benefits are framed around measurable improvement, operating confidence and reduced delivery risk.
Relevant, tuned detection
Analytics rules are tuned to the environment instead of left at default sensitivity.
Predictable ingestion cost
Log sources are onboarded with cost-aware retention and workspace design.
Documented incident response
Playbooks and workflows give the SOC a repeatable response path.
Technology stack
Implemented with proven platforms and tools.
Technology choices are confirmed during discovery, with a preference for reliable, maintainable platforms your team can support.
Microsoft Sentinel
Log Analytics
KQL
Automation rules
Playbooks
SOC 2 shouldn't be a two-week panic before the audit.
Continuous control visibility and repeatable remediation for SOC 2 readiness.
Read the story ->
FAQ
Common questions before engagement.
Short answers to common planning questions for Microsoft Sentinel.
Why is our current SIEM so noisy?
Usually untuned rules and too much irrelevant data. Tuning is most of the value.
Does Sentinel get expensive?
It can, since it charges on data ingested — we design data collection to control that.
Enterprise consultation
Book a consultation