SOC & SIEM

SOC & SIEM Build, Detection Engineering, and Operations

Reduce noise, catch what matters, and respond faster. We design SIEM architectures, craft high‑signal detections, and operate or upskill your SOC with repeatable runbooks and metrics.

SOC & SIEM

What we deliver

A modern SOC needs a reliable pipeline for telemetry, curated detections that map to attacker behavior, and crisp response playbooks. We build or tune your SIEM (self‑hosted or SaaS), reduce alert fatigue, and establish measurable performance.

Business outcomes

  • Meaningful reduction in false positives
  • Improved time‑to‑detect (MTTD) and time‑to‑respond (MTTR)
  • Audit‑ready evidence (ISO 27001 / SOC 2)

Technical outcomes

  • Detection-as-code repo with tests
  • Runbooks with decision trees
  • Dashboards and investigation workspaces

High‑value use cases

Account takeover

Impossible travel, MFA fatigue, token theft, session anomalies—detections + auto‑containment.

Ransomware

Early signals: suspicious encryption, shadow copy deletion, mass file ops, lateral movement.

Cloud abuse

Privilege escalation, key misuse, public data exposure, persistence through roles/apps.

Reference architecture

Ingest & normalization

Streaming collectors, schema-on-write/read, enrichment (GeoIP, asset, identity), and parsing with a shared taxonomy.

Storage & tiering

Hot vs. warm tiers, cost controls, retention aligned to compliance, and searchable archives.

Access & workspaces

Least‑privilege roles, scoped workspaces for SOC tiers, and temporary elevation for IR.

Automation

SOAR playbooks for enrichment, containment, and case management integration.

Detection engineering

Detection‑as‑code

Rules in version control with tests, peer review, tagging (tactic/technique/severity), and release notes.

Tuning & suppression

Field‑tested noise reduction: allowlists, device groups, maintenance windows, and adaptive thresholds.

Threat intel & ML

IOC mgmt with TTLs, behavior models for anomalies, and risk‑scored entity timelines.

Purple teaming

Adversary simulations to validate coverage and improve detections iteratively.

Log source coverage

DomainExamplesWhy it matters
IdentityEntra/Okta, AD/LDAP, SSO, IAMAccount takeover & privilege escalation
EndpointEDR/AV, Sysmon, macOS/Linux auditMalware, persistence, lateral movement
NetworkFirewall, proxy, DNS, NTAC2, exfiltration, recon patterns
CloudCloudTrail, Azure Activity, GCP AuditIAM/key abuse, risky API activity
AppsWAF, API gateway, auth servicesAbuse of business logic and auth

SOC workflows & runbooks

Triage

Contextual enrichment (asset, user, geo, threat intel), severity classification, and escalation thresholds.

Investigation

Entity timelines, correlated alerts, and pivoting through related telemetry.

Containment

Isolate hosts, disable users, revoke tokens/keys; case notes with approval trails.

Lessons

Update detections, refine runbooks, and adjust controls after PIRs.

Metrics & SLOs

Detection quality

  • True‑positive rate, false‑positive rate, rule coverage
  • Time to rule update after PIRs

Operational speed

  • MTTD/MTTR, investigation cycle time
  • Automation coverage and success rate

Methodology

  1. 1) Kickoff & design

    Requirements, data sources, retention, access model, automation goals.

  2. 2) Build & ingest

    Connect sources, normalize, enrich, and validate parsing.

  3. 3) Detections & workflows

    High‑value rules, runbooks, and case management automation.

  4. 4) Operate & tune

    Shadow operations, tuning sprints, and performance reviews.

  5. 5) Handover

    Playbooks, training, and detection‑as‑code repo handoff.

Deliverables

  • SIEM reference architecture & runbooks
  • Detection‑as‑code repository (rules + tests)
  • Dashboards and analyst workspaces
  • SOAR playbooks & case templates
  • Performance report with SLOs

Sample runbook excerpt

StepAction
EnrichFetch asset, user risk, and threat intel context
DecideSeverity & escalation rules
ContainIsolate host, disable user, revoke tokens
DocumentCase notes and evidence linking

Typical timeline

PhaseDurationActivities
Design1–2 weeksRequirements, architecture, data plan
Build2–4 weeksIngest, normalization, dashboards
Detections2–3 weeksRules, tests, runbooks
Operate & tune2–6 weeksShadow ops, tuning, SLOs

Pricing / Engagement model

Foundation

  • SIEM baseline + 10 core rules
  • Dashboards + 3 runbooks
  • Report & SLOs

Growth

  • Priority use cases (A/C takeover, ransomware)
  • SOAR playbooks
  • Weekly tuning sprints

Operate

  • Co‑managed SOC with SLAs
  • Quarterly PIRs & roadmap
  • Continuous detection improvements

FAQs

Can you work with our existing SIEM?

Yes—we tune what you have and add detections; we’re vendor‑agnostic.

How do you avoid alert fatigue?

Detection‑as‑code with testing, suppression logic, and PIR‑driven updates.

Do you support cloud & SaaS?

Absolutely—identity, cloud audit logs, and SaaS admin telemetry are first‑class.

Can you train our analysts?

Yes—playbook walkthroughs, case studies, and purple‑team drills.

Ready to modernize your SOC?

Email info@meenexis.com or call +91-XXXXXXXXXX. Jaipur, Rajasthan.

Contact Us