SOC & SIEM

SOC & SIEM Build, Detection Engineering, and Operations

Smartfind helps you move from “collecting logs” to actually catching attacks earlier and responding faster. We design and tune your SIEM, build high-signal detections mapped to attacker behavior, and establish SOC workflows that your team can run every day without drowning in noise.

  • Best suited for organizations struggling with alert fatigue, blind spots, or compliance pressure
  • Supports both greenfield SOC builds and modernization of existing SIEM deployments
  • Built for cloud-first, hybrid, and remote-friendly environments
  • Aligned to MITRE ATT&CK, ISO 27001, SOC 2, and your own internal policies
SOC & SIEM

What we deliver

A modern SOC needs more than dashboards and alerts. It needs a reliable telemetry pipeline, detections that match attacker tradecraft, and repeatable workflows that analysts can run at 2 AM without guessing. Smartfind builds or tunes your SIEM (self-hosted or SaaS), reduces noise, and gives your team the tools to investigate and respond with confidence.

  • SIEM and SOC designed to match your size, risk profile, and technology stack
  • Detections mapped to MITRE ATT&CK tactics, techniques, and procedures
  • Tier-1 to Tier-3 workflows that define what “good investigation” looks like
  • Dashboards that show real security posture, not just log volume

Business outcomes

  • Meaningful reduction in false positives and wasted analyst time
  • Improved time-to-detect (MTTD) and time-to-respond (MTTR) for real incidents
  • Audit-ready evidence and reporting for ISO 27001, SOC 2, and customer reviews
  • Clear visibility for leadership into how the SOC is performing over time
  • Confidence that high-impact threats (ransomware, ATO, cloud abuse) are covered

Technical outcomes

  • Detection-as-code repository with rules, tests, and documentation
  • Investigation runbooks with decision trees and example scenarios
  • Analyst workspaces for entity timelines, pivoting, and enrichment
  • SOAR/automation playbooks for enrichment and containment actions
  • Run-time guardrails: access models, RBAC, and change management for rules

High-value use cases

Account takeover

Detect and respond when attackers abuse identities instead of malware.

  • Impossible travel and anomalous geo-velocity
  • MFA push fatigue and suspicious approval patterns
  • Token theft, session hijacking, and OAuth abuse
  • Risk-based auto-containment (step-up auth, disable, revoke sessions)

Ransomware

Catch early indicators before encryption hits critical systems.

  • Suspicious file encryption patterns and mass rename operations
  • Shadow copy deletion and backup tampering
  • Privilege escalation and lateral movement towards servers or domain controllers
  • Rapid isolation playbooks for endpoints and critical shares

Cloud abuse

Visibility and detections for cloud privileged access and misconfigurations.

  • Unusual console logins, API calls, and identity federation activity
  • Key misuse, role escalation, and suspicious use of service principals
  • Public exposure of storage buckets, databases, and management interfaces
  • Persistence via roles, access policies, and automation accounts

Reference architecture

Ingest & normalization

We build a predictable pipeline from log sources to normalized events with shared schemas.

  • Streaming collectors and agents tuned for reliability and cost
  • Parsing rules with a consistent taxonomy for identity, host, network, and cloud
  • Enrichment with asset data, user context, and threat intelligence
  • Validation dashboards to track ingestion health and parsing errors

Storage & tiering

Store the right data in the right place for the right time window.

  • Hot vs. warm vs. archive tiers aligned to investigation needs
  • Retention policies mapped to regulatory and contractual obligations
  • Cost guardrails and forecasting to avoid runaway SIEM bills
  • Searchable long-term storage for forensics and threat hunting

Access & workspaces

Analysts see what they need, with least-privilege access and clear separation of duties.

  • Role-based access for SOC tiers, IR teams, and platform admins
  • Dedicated workspaces for hunting, investigations, and reporting
  • Temporary elevation processes for sensitive queries or exports
  • Audit trails for rule changes, query access, and case handling

Automation

We integrate SIEM with SOAR and case management to reduce manual, repetitive work.

  • Enrichment playbooks: whois, sandbox, asset, user, and threat intel lookups
  • Containment playbooks: isolate endpoints, disable accounts, revoke tokens or keys
  • Case creation and updating across your existing ITSM or ticketing tools
  • Guardrails and approvals so automation improves safety, not risk

Detection engineering

Detection-as-code

Smartfind treats detection rules like software: versioned, tested, and reviewed.

  • Rules stored in Git with pull requests and peer review
  • Unit tests and sample events for critical detections
  • Tagging by tactic, technique, data source, and severity
  • Release notes and change logs for each tuning or new rule

Tuning & suppression

We tune rules to your environment so analysts see fewer “expected” alerts and more real issues.

  • Allowlists and exception sets with clear owners and review dates
  • Maintenance windows and change calendar awareness
  • Context-aware thresholds per business unit, environment, or asset type
  • Systematic PIR-driven updates after each incident or major false positive cluster

Threat intel & ML

We blend indicators, behavior-based detections, and anomaly models where they make sense.

  • IOC management with TTLs and automatic expiry for stale indicators
  • Entity and user risk scoring based on correlated activity
  • Behavioral rules for unusual access, configuration, or data movement
  • Detection strategies that combine static rules, heuristics, and ML outputs

Purple teaming

We validate SOC coverage using controlled adversary simulations.

  • Scenario design aligned to your top threats and crown-jewel assets
  • Execution of ATT&CK-mapped techniques against lab or test environments
  • Gap analysis between activity performed and alerts generated
  • Improvement backlog for new detections, data sources, and playbooks

Log source coverage

DomainExamplesWhy it matters
Identity Entra/Okta, AD/LDAP, SSO, IAM Detect account takeover, risky sign-ins, and privilege escalation before data is touched.
Endpoint EDR/AV, Sysmon, macOS/Linux audit Spot malware, persistence, and lateral movement on laptops, servers, and critical hosts.
Network Firewall, proxy, DNS, NTA Reveal command-and-control traffic, exfiltration attempts, and internal recon.
Cloud CloudTrail, Azure Activity, GCP Audit Track IAM/key abuse, risky API activity, and changes to critical cloud resources.
Apps WAF, API gateway, auth services Detect abuse of business logic, brute-force attempts, and application-level attacks.

SOC workflows & runbooks

Triage

Tier-1 analysts get clear checklists and context to quickly decide if an alert is actionable.

  • Automatic enrichment with asset, user, and threat intel data
  • Severity classification rules aligned with business impact
  • Escalation thresholds and handoff criteria for Tier-2
  • Standard case notes so handovers are smooth and traceable

Investigation

Tier-2/Tier-3 analysts follow structured paths instead of ad-hoc queries.

  • Entity-centric timelines for users, hosts, and IPs
  • Correlation of related alerts into a single case
  • Guided pivot queries and saved hunts for common scenarios
  • Evidence collection steps that support later forensics or IR

Containment

Decisions are documented and controlled, even when executed quickly.

  • Pre-approved actions (isolate host, disable user, revoke tokens)
  • Approval workflows for high-impact changes
  • Playbook-driven integration with EDR, IAM, and cloud controls
  • Rollback plans and communication steps when containment is complete

Lessons

Every major case feeds back into detections, processes, and training.

  • Post-incident reviews (PIRs) with clear owners and due dates
  • Rule and runbook updates tracked as formal changes
  • Knowledge base entries with anonymized case studies
  • Metrics that show whether changes actually reduced risk or noise

Metrics & SLOs

Detection quality

  • True-positive rate, false-positive rate, and alert discard rate
  • Rule coverage by MITRE ATT&CK tactic and critical asset group
  • Average time from incident review to rule or playbook update
  • Volume of alerts per analyst vs. actionable cases per shift

Operational speed

  • Mean time to detect (MTTD) and mean time to respond (MTTR)
  • Investigation cycle time by severity level
  • Automation coverage and success rates for enrichment and containment
  • Case backlog trends and SLA adherence for priority incidents

Methodology

  1. 1) Kickoff & design

    Requirements, current tooling, data sources, retention, access model, and automation goals. We prioritize use cases and define what “success” looks like for your SOC.

  2. 2) Build & ingest

    Connect sources, normalize events, enrich with context, and validate parsing and volume. We ensure dashboards and basic searches already support investigations.

  3. 3) Detections & workflows

    Design and implement high-value rules, triage flows, investigation playbooks, and case templates. SOC analysts are trained on how to use them in real scenarios.

  4. 4) Operate & tune

    Shadow operations, tuning sprints, and performance reviews. We continuously refine rules, automations, and workflows based on real alerts and incidents.

  5. 5) Handover

    Formal handover of playbooks, documentation, and detection-as-code repositories. We align on a future roadmap and optional co-managed or advisory engagement.

Deliverables

  • SIEM reference architecture & configuration guidelines
  • Detection-as-code repository (rules, tests, docs)
  • Dashboards and analyst investigation workspaces
  • SOAR playbooks & case management templates
  • Runbooks for triage, investigation, containment, and PIRs
  • Performance report with baseline metrics and SLO proposals

Sample runbook excerpt

StepAction
EnrichFetch asset, user risk, and threat intel context
DecideApply severity rules and choose escalation path
ContainIsolate host, disable user, revoke tokens with approvals
DocumentRecord timeline, evidence, and findings for PIR

Typical timeline

PhaseDurationActivities
Design1–2 weeksRequirements, architecture, data plan, prioritized use cases.
Build2–4 weeksIngest, normalization, enrichment, dashboards, and access model.
Detections2–3 weeksRules, tests, runbooks, automation hooks, and initial training.
Operate & tune2–6 weeksShadow ops, tuning sprints, metrics, and PIR-driven improvements.

Pricing / Engagement model

Foundation

  • SIEM baseline architecture and configuration
  • Up to 10 core detection rules with tests
  • Dashboards and 3 key runbooks
  • Performance summary and recommended roadmap

Growth

  • Priority use cases (e.g., ATO, ransomware, cloud abuse)
  • SOAR playbooks for enrichment and containment
  • Weekly tuning sprints and rule improvement cycles
  • Analyst training sessions and tabletop walkthroughs

Operate

  • Co-managed SOC model with agreed SLAs
  • Continuous detection improvements and rule maintenance
  • Quarterly PIRs, metrics review, and roadmap updates
  • Option to gradually transition to your fully in-house SOC

FAQs

Can you work with our existing SIEM?

Yes. Smartfind is vendor-agnostic—we prefer to improve what you already have where possible. We assess your current deployment, architecture, and rules, then recommend a phased plan: quick wins, structural changes, and long-term improvements.

How do you avoid alert fatigue?

We combine detection-as-code, environment-specific tuning, and PIR-driven updates. False positives aren’t just muted—they feed into a proper tuning backlog with owners, changes, and verification steps. Over time, the SOC sees fewer, higher-quality alerts.

Do you support cloud & SaaS?

Absolutely. Identity, cloud audit logs, and SaaS admin telemetry are first-class citizens in our designs. We prioritize visibility into the platforms where your users work every day: collaboration tools, CRM, IAM, cloud consoles, and more.

Can you train our analysts?

Yes. We provide playbook walkthroughs, case studies based on real incidents, tabletop exercises, and guided hunts. The goal is to make your analysts comfortable with the tools, confident in their decisions, and aligned on what “good” investigations look like.

Ready to modernize your SOC?

Email info@smartfind.systems or reach out via our contact form. Our team will help you design the right SOC & SIEM strategy for your environment.

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