Engineer security thatperforms under pressure.Resilient. Measurable. Uncompromising.
Spakto Security Engineering delivers enterprise-grade cloud defense architecture across Microsoft Sentinel and Defender ecosystems — from precision detection engineering and automated response playbooks to compliance-aligned hardening and continuous threat optimization.
Delivered End to End. Engineered to Perform.
Security Engineering is the disciplined architecture, deployment, and continuous optimisation of cloud-native Microsoft defence systems — transforming fragmented Sentinel, Defender XDR, and Azure tooling into a single intelligence-driven, automation-first ecosystem with measurable ATT&CK coverage, sub-6-minute MTTD, and full detection lifecycle governance.
Build to L4. Defend at Scale.
Four progressive maturity levels from reactive log collection to intelligence-led adversary defense. We baseline your current state, define the engineering roadmap, and execute with measurable outcomes at every stage.
Zero Blind Spots.
Signal-First Defense.
Every detection domain mapped to MITRE ATT&CK. Behavioral analytics, ML fusion scoring, and KQL-precision rules — engineered to close coverage gaps before adversaries exploit them.
Built Native on Microsoft.
Precision-Engineered Defense.
Six domains. One unified architecture — Microsoft Sentinel SIEM, Defender XDR, custom KQL detection engineering, Logic Apps SOAR, compliance hardening, and threat-driven log strategy.
05 · Adversary Simulation
Attack. Detect. Validate.
Repeat until proven.
Every rule tested against real adversary TTPs. Every playbook validated under live breach simulation. Coverage is measured — never assumed.
Map adversary TTPs to your industry, attack surface, and risk model usin…
Execute controlled breach simulations across identity, endpoint, and clo…
Confirm analytics rules trigger accurately, measure false positive rates…
Test automation playbooks for containment speed, enrichment accuracy, an…
Deliver MITRE-mapped visibility reports with MTTD, MTTR, alert precision…
Zero-Tolerance Governance.
Audited. Versioned. Enforced.
Every rule, every change, every deployment is version-controlled, dual-reviewed, and validated before reaching production. Governance isn't a checkbox — it's the architecture that makes security measurable and reliable.
Validation Through
Adversarial Simulation.
Tested. Mapped. Proven.
Every engineered detection validated against real adversary behavior — Atomic Red Team simulations, custom TTP scripts, and full kill-chain sequencing. Security is measured, not assumed.
LIVE OPERATIONAL METRICS
Measurable
Security.
Engineered Confidence.
Every detection rule, playbook, and ingestion decision is measured against live SOC KPIs — mapping performance to MITRE ATT&CK, compliance objectives, and executive risk targets.
Architecture
Security Architecture
Blueprint.
Five integrated architecture layers — telemetry precision, behavioral detection, automation-first response, and compliance-aligned governance operating as a unified system.
Deployment Process Overview
A structured four-phase methodology to deploy, validate, and continuously evolve your security engineering stack.
Initial Assessment & Planning
We evaluate your Azure environment, security posture, existing SIEM/XDR tools, log sources, compliance requirements, and threat exposure to design a tailored security architecture.
Custom Configuration & Engineering
Sentinel workspaces, Defender policies, KQL detections, automation playbooks, role-based access controls, and alert tuning are configured according to your operational model.
Deployment & Validation Testing
We deploy across environments, simulate attack scenarios, validate detection logic, test automation workflows, and confirm telemetry integrity before production go-live.
Continuous Monitoring & Optimization
Post-deployment, we provide tuning, detection refinement, cost optimization, log normalization, compliance alignment, and threat-driven enhancements to keep defenses adaptive.
Initial Assessment & Planning
We evaluate your Azure environment, security posture, existing SIEM/XDR tools, log sources, compliance requirements, and threat exposure to design a tailored security architecture.
Custom Configuration & Engineering
Sentinel workspaces, Defender policies, KQL detections, automation playbooks, role-based access controls, and alert tuning are configured according to your operational model.
Deployment & Validation Testing
We deploy across environments, simulate attack scenarios, validate detection logic, test automation workflows, and confirm telemetry integrity before production go-live.
Continuous Monitoring & Optimization
Post-deployment, we provide tuning, detection refinement, cost optimization, log normalization, compliance alignment, and threat-driven enhancements to keep defenses adaptive.
Security Engineering FAQs
Frequently asked
questions.
answered
Spakto delivers end-to-end Microsoft Sentinel and Defender ecosystem architecture — from workspace design and data connector configuration to custom KQL detection engineering, SOAR automation, compliance hardening, and continuous adversary simulation. Every engagement produces a measurable, governed security architecture.
Our standard detection engineering engagement targets coverage across all 14 tactic categories and 430+ techniques/sub-techniques in ATT&CK v15. Coverage is mapped per environment, visualized in ATT&CK Navigator, and reported with measurable detection precision rates.
We implement CIS Azure Security Benchmark controls, Privileged Identity Management workflows, Conditional Access hardening, and Azure Policy guardrails mapped to your compliance requirements (ISO 27001, SOC 2, NIST CSF). Continuous Secure Score monitoring and automated drift detection ensure posture does not degrade post-deployment.
We design threat-driven ingestion strategies that prioritize high-fidelity sources for hot analytics and route verbose data to low-cost cold tiers. ASIM normalization schemas eliminate duplicate ingestion. Cost-per-detection metrics are tracked and optimized continuously. Clients typically achieve 25-35% log cost reduction without compromising detection coverage.
Every detection rule follows a structured lifecycle: threat-informed design, peer review, controlled deployment into staging environments, validation testing against Atomic Red Team simulations, performance monitoring, and version tracking. Rules are MITRE ATT&CK aligned and tuned for precision to minimize analyst fatigue.
Logic Apps playbooks automate the full initial triage workflow — entity enrichment via MDTI/VirusTotal, identity risk correlation, conditional access evaluation, and automated containment where confidence is high. SOC analysts receive pre-enriched, pre-triaged incidents with recommended actions. Average analyst time-to-decision is reduced by 60-70%.
Adversary simulation validates that detection rules actually fire under real attack conditions — not just on paper. We execute controlled Atomic Red Team tests, BAS scenarios, and custom scripts to confirm detection accuracy, measure MTTD, identify blind spots, and validate SOAR containment speed. Coverage is never assumed; it is measured.
All detection rules, playbooks, and configurations are version-controlled and subject to structured change management. Performance KPIs (MTTD, MTTR, alert precision, coverage %) are measured weekly. Detection lifecycle reviews ensure rules remain effective as the adversary environment evolves. Security posture improves systematically, not by default.