📊⚙️ SIEM / SOAR

Centralized Evidence + Safe Automation (Detect Fast, Respond Faster)

SIEM (Security Information & Event Management) is your source of truth for security telemetry and audit evidence.
SOAR (Security Orchestration, Automation & Response) turns that truth into action—fast, safe, and reversible.

SolveForce designs SIEM/SOAR as one system: collect → normalize → detect → decide → act → prove. You get high-fidelity alerts, measurable MTTR cuts, and audit-ready timelines—without breaking production.

In the SolveForce model:
🔒 Security (Semantics)Cybersecurity • 🧠 Analytics/AutomationSIEM / SOAR (this page)
🛡️ ControlsEDR / MDR / XDRNDRDLPWAF / Bot Management
🔑 Identity/AccessIAM / SSO / MFAZTNASASE
☁️ CloudCloud • 🖧 FabricNetworks & Data Centers


🎯 Outcomes (What You Can Prove in 90 Days)

  • Lower MTTD/MTTRdetect in ≤ 5–10 min, contain in ≤ 15–30 min for Sev-1 with playbooks.
  • Noise ↓, Fidelity ↑cross-domain correlation (endpoint + network + identity + cloud) raises precision.
  • Audit-ready evidenceimmutable cases with timelines, artifacts, approvals, and RCAs.
  • Operating claritySLO dashboards (ingestion lag, alert latency, precision/recall, coverage, cost).
  • Safe automationrollbacks, blast-radius caps, approvals—automation that can’t run away.

🧭 What SIEM Ingests (Scope & Normalization)

  • Endpoints/Servers: EDR events, process/script, FIM. → EDR / MDR / XDR
  • Network: NetFlow/IPFIX, DNS, TLS SNI/JA3, firewall/IPS/WAF, PCAP metadata. → NDRWAF / Bot Management
  • Identity & Access: IdP logs (SAML/OIDC), MFA outcomes, PAM events, directory changes. → IAM / SSO / MFAPAM
  • Cloud & K8s: CloudTrail/Activity, API calls, storage/object actions, k8s audit. → Cloud
  • Email/Web/SaaS: SEG verdicts, sandbox, SWG/CASB actions. → SASE
  • Data Security: DLP incidents, tokenization/watermark actions. → DLP

Normalization: map to a unified schema (host, user, src/dst, action, object, result, severity, labels) so rules and searches are portable and fast.


🧱 Architecture (Clean Pipes → Low Lag → High Trust)

Collectors/Agents → Buffer/Bus → Parsers/Enrichers → SIEM (hot/warm/cold) → Detections/UEBA → Cases → SOAR → ITSM

  • Hot tier (7–30d)fast search & rules. Warm/cold (90–365d+): compliance, legal hold.
  • Enrichmentasset/user inventories, geo/ASN, threat intel, business labels (BU, data class).
  • Lag SLOsalarms if ingest > 60–120 s 90p; alert latency Sev-1 ≤ 60 s post-event.

🔍 Detections (ATT&CK-Aligned, Cross-Domain)

  • C2 Beaconingperiodicity + JA3 anomalies + DNS features.
  • Lateral MovementSMB enum/RDP valid + service creation + admin group add.
  • Account Takeover/BECimpossible travel + inbox rules + token misuse.
  • Ransomwareencryption patterns + shadow-copy tamper + suspicious parent tree.
  • Exfiltrationegress to new ASN/cloud + DLP hits + time/geo oddities.

Goal: priority rules precision ≥ 92–95%, recall ≥ 80–90% after tuning.


⚙️ SOAR: Orchestrated Response (Safe by Design)

Typical automated actions (with guardrails):

  • Endpoints: isolate host, kill/quarantine, collect triage bundle. → EDR / MDR / XDR
  • Network: FW/WAF rules, NAC quarantine, SD-WAN pin/blackhole, Anycast withdraw. → NACSD-WANWAF / Bot Management
  • Identity: revoke sessions, step-up MFA, lock user, rotate privileged secrets. → IAM / SSO / MFAPAM
  • Cloud/SaaS: disable keys, freeze buckets, snapshot disks, CASB session control. → CloudSASE
  • Data: quarantine object, watermark, route to tokenization. → DLP

Safety rails: simulation/dry-run, approvals for destructive steps, blast-radius caps, rate limits, automatic rollback/circuit-breaker, change IDs via ITSM.


📐 SLO Guardrails (Measure What Matters)

SLOTarget (Recommended)Notes
Ingestion lag (90p)≤ 60–120 sSource → index
Alert latency (Sev-1)≤ 60 sEvent → rule fire
MTTD (Sev-1)≤ 5–10 minCorrelated detections
MTTC (Sev-1)≤ 15–30 minSOAR playbooks + approvals
Rule precision (priority)≥ 92–95%Post-tuning
Coverage (required sources)≥ 95%Onboarded + normalized
Evidence completeness (Sev-1/2)100%Timeline + artifacts + approvals
Platform availability≥ 99.9–99.99%Multi-AZ/region optional

Dashboards expose SLOs + cost (GB/day, hot%), so leaders see value and spend.


🧰 Playbook Library (Concrete, Auditable)

1) Ransomware (Sev-1) → isolate host, kill encryptor, block hash/domain, NAC quarantine, force re-auth, recover from immutable backup.
Backup Immutability

2) Account Takeover → revoke sessions, require MFA, rotate privileged secrets (PAM), tighten ZTNA groups, notify owner.
ZTNAPAM

3) C2 / Exfil → block domain/IP, SD-WAN sinkhole, Anycast withdraw for impacted POPs, open DLP case, notify IR.
SD-WANBGP ManagementDLP

4) Phishing/BEC → quarantine/purge tenant-wide, invalidate tokens, warn potential victims, raise IR case.
Incident Response

5) Zero-day Virtual Patch → push WAF rule, staged rollout, health checks, change ticket, rollback if SLOs dip.
WAF / Bot Management

Each playbook is versioned, tested, and linked to approvals and RCAs.


🔒 Data Governance & Privacy

  • Immutability/WORMpreserve evidence; legal hold support.
  • PII minimizationparse/mask where possible; decrypt only with scope/approval.
  • Access controlRBAC/ABAC for analysts/admins; step-up MFA for privileged actions.
  • Chain-of-custodyartifact hashing, access logs, case IDs.

Compliance mappings: PCI DSS 10, HIPAA 164.312(b), ISO 27001 A.12/A.16, NIST 800-53/171 AU/IR/SI, CMMC.


🧪 Tuning Loop (Weekly Cadence)

  • Review false-positives/negatives; adjust thresholds, sequences, intel lists.
  • Validate parser health & schema drift; fix ingest that breaks rules.
  • Promote hunts → rules; retire rules that never fire.
  • Rehearse playbooks (quarantine, token revoke, WAF patch, sinkhole); record RCAs.
    Tabletop Exercises

🧾 Implementation Blueprint (No-Surprise Rollout)

  1. Source inventory & policy (EDR, NDR, IdP, Cloud, FW/WAF, Email, DLP, ticketing).
  2. Schemas/parsers (unified fields), golden-sample tests.
  3. Pipelines (collectors, buffers, transforms) with lag alarms.
  4. Correlation library (ATT&CK rules + UEBA baselines), precision/recall targets.
  5. Playbooks & approvals (Sev map, owners, rollback, blast caps).
  6. Dashboards (lag, latency, coverage, precision, MTTR, GB/day).
  7. Drills (ransomware, ATO, exfil, blackhole); publish RCAs and improvements.
  8. Operate & tune (weekly loop); monthly exec reports.

📊 Metrics That Matter

  • MTTD/MTTR deltavs last quarter.
  • Precision/recallfor top rules.
  • Coverage %(required sources online & normalized).
  • Auto-contain %(safe incidents closed without human touch).
  • Rollback count(keep low; investigate).
  • Cost per GB/day(optimize with tiering & scoping).

🔄 Where SIEM / SOAR Fits (Recursive View)

1) Grammar — signals traverse Connectivity & Networks & Data Centers.
2) Syntax — delivery patterns in Cloud inform sensor placement and actions.
3) SemanticsCybersecurity preserves truth; SIEM proves it.
4) PragmaticsSOAR executes decisions; SolveForce AI enriches and predicts.
5) Foundation — shared terms under Primacy of Language.
6) Map — indexed in SolveForce Codex & Knowledge Hub.


📞 Launch SIEM / SOAR that’s Fast and Safe

Related pages:
CybersecurityEDR / MDR / XDRNDRIAM / SSO / MFAZTNASASEDLPWAF / Bot ManagementIncident ResponseNOC ServicesKnowledge Hub


Key terms in plain language

Open a term for a concise explanation of language used on this page.

Latency

The time it takes data to travel between two points. Lower latency improves voice, video meetings, cloud applications, gaming, and other real-time services.

SD-WAN

Software-defined wide area networking. It manages multiple connections and chooses paths based on application needs, performance, and policy to improve resilience and control.

Software as a Service (SaaS)

Software accessed as an online service instead of being installed and maintained entirely on the customer’s own computers or servers.

Cybersecurity

The practices and controls used to protect identities, devices, networks, applications, and data from unauthorized access, disruption, or manipulation.

SASE

Secure Access Service Edge combines networking and security capabilities in a cloud-delivered architecture so users and locations can receive consistent policy wherever they connect.

Identity and Access Management (IAM)

The systems and policies that determine who a user is, what resources they may access, and how that access is authenticated and reviewed.

Multi-Factor Authentication (MFA)

A login control requiring more than one form of verification, such as a password plus an authenticator app, security key, or biometric factor.

MDR / XDR

Security services and tools that monitor activity, investigate suspicious behavior, and help contain threats. MDR is managed detection and response; XDR correlates signals across multiple security layers.