Cybersecurity
We engineer cybersecurity software products for our clients — from AI-driven XDR platforms and CSOC automation tools to GRC dashboards and compliance reporting systems. These platforms were built by our team for clients who needed enterprise-grade security software at scale.
What does Masarrati build for cybersecurity?
Masarrati builds cybersecurity software products for vendors and enterprise security teams: XDR and SIEM platforms, log ingestion and detection pipelines, SOC analyst consoles, GRC and compliance automation tools, and vulnerability management systems. We engineer the platform, prove it against your data volumes, and hand it over with detection content and runbooks. Your security team operates it.
Why This Matters
Security products are judged on what they miss, and most of that failure is engineering rather than research. Detections decay as attacker technique changes, ingestion costs grow faster than the estate, and analysts abandon consoles that surface noise. Building here means treating detection content as versioned code, proving pipelines at realistic volumes, and designing the triage path around how an analyst actually spends a shift.
Standards We Build To
- ISO/IEC 27001 information security management
- SOC 2 Trust Services Criteria
- NIST Cybersecurity Framework and NIST SP 800-53 controls
- PCI DSS for cardholder data environments
- GDPR breach notification obligations
- MITRE ATT&CK for detection coverage mapping
What We Offer
Capabilities
Log Ingestion Pipelines
High-throughput collectors that normalise firewall, endpoint, identity and cloud telemetry into a common schema, with backpressure handling so bursts queue rather than drop events.
Detection as Code
Detection rules held in version control, mapped to MITRE ATT&CK techniques, tested against replayed telemetry and promoted through environments like any other software change.
Alert Triage and Correlation
Correlation engines that group related signals into single cases, enrich them with asset and identity context, and rank them so analysts work a queue rather than a stream.
SOAR Playbooks
Automated response workflows that isolate hosts, revoke sessions or open tickets through vendor APIs, with approval gates where an action would disrupt production systems.
GRC and Evidence Automation
Control libraries mapped across ISO 27001, SOC 2 and NIST CSF, with automated evidence collection so an audit draws on continuously gathered records instead of a manual scramble.
Multi-Tenant Security Platforms
Tenant isolation, per-customer retention policies and role scoping for managed service providers, so one console serves many client estates without data crossing between them.
Where This Gets Used
- Security software vendor: an XDR console consolidating endpoint, network, identity and cloud detections into one case queue
- Managed security provider: a multi-tenant SOC platform with per-client dashboards, retention rules and reporting
- Regulated enterprise: a GRC platform mapping controls to ISO 27001 and SOC 2 with continuous evidence collection
- Cloud-native business: a posture management tool scanning infrastructure-as-code and live accounts against benchmark policies
- Large estate operator: a vulnerability management system correlating scanner output with asset ownership and patch state
How We Deliver
Threat Model
We define the estate, data sources and adversary behaviour the platform must detect before designing any pipeline
Pipeline Build
Collectors, normalisation and storage proven against replayed production volumes so cost and latency are known early
Detection Content
Rules written as code, mapped to MITRE ATT&CK, and validated with simulated attack traffic before release
Analyst Handover
Console tuning with your analysts, runbooks and detection documentation transferred so your team runs the platform
Related Services
How We Help
DevOps Services
Streamline your development pipeline with CI/CD, cloud, and automation.
- CI/CD pipeline implementation
- Infrastructure as Code (Terraform/Pulumi)
- Container orchestration (Kubernetes)
QA & Testing
Comprehensive testing to ensure your software is reliable, secure, and performant.
- Automated testing (Selenium, Cypress, Playwright)
- Manual and exploratory testing
- Performance and load testing
Agentic AI for Government
Autonomous AI agent systems for government operations — from citizen services to regulatory enforcement, built for sovereignty, auditability, and scale.
- Citizen service automation agents
- Regulatory enforcement and compliance monitoring
- Inter-agency workflow orchestration
VARA-Compliant Crypto & Blockchain Development
End-to-end blockchain and crypto platform development with built-in VARA, CBUAE, and MiCA regulatory compliance for Dubai and global markets.
- VARA-compliant exchange and trading platform development
- KYC/AML pipeline with Emirates ID and sanctions screening
- Smart contract development with formal verification
Multi-Agent Systems Development
Orchestrated teams of AI agents that plan, delegate and execute complex workflows — supervisor patterns, agent-to-agent protocols, and production guardrails.
- Supervisor and orchestrator architectures
- Agent-to-agent communication protocols
- Shared memory and state management
Common Questions
Frequently Asked Questions
What cybersecurity products does Masarrati build?
XDR/SIEM platforms, vulnerability management tools, GRC automation, threat intelligence systems, SOC dashboards, incident response platforms, and security awareness training tools.
How is AI changing cybersecurity?
AI enables real-time threat detection, behavioral anomaly analysis, automated incident response, predictive risk scoring, and natural language processing for threat intelligence — reducing response times from hours to seconds.
What compliance frameworks do you support?
SOC 2, ISO 27001, NIST CSF, PCI-DSS, HIPAA, GDPR, FedRAMP, and industry-specific frameworks. Masarrati builds compliance automation that continuously monitors and evidences your security posture.
Can you build a Security Operations Center platform?
Yes. Masarrati builds the platform layer of a security operations centre — log ingestion pipelines, detection-as-code mapped to MITRE ATT&CK, alert triage and correlation, SOAR playbooks and analyst case management, integrating EDR, XDR, SIEM and CSPM signals. Masarrati engineers and hands over the platform; your security team operates it.
What is the difference between SIEM, EDR, and XDR?
SIEM aggregates logs for analysis. EDR monitors endpoints. XDR unifies both plus network, cloud, and identity data into a single detection and response platform. Masarrati builds XDR solutions that replace multiple point tools.
Does Masarrati run our security operations centre after the build?
No. We build the platform layer, covering ingestion, detection content, correlation, case management and reporting, and hand it over with runbooks and tuning documentation. Operating the console, staffing shifts and responding to incidents stay with your security team or your chosen managed provider. Where you want engineering continuity for new detections or platform changes, that is arranged as a separate, defined engagement rather than an operational dependency.
How do you control the cost of log ingestion and retention?
By deciding at the collector what is worth indexing. High-value telemetry goes into hot searchable storage, bulk sources are filtered, aggregated or written to cheaper object storage with schema-on-read, and retention tiers are set per source against the regulatory requirement rather than uniformly. Ingest volume is modelled during design using replayed samples of your real traffic, so the storage bill is estimated before the architecture is fixed.
Can you build a security product we resell to our own customers?
Yes. Multi-tenant isolation, per-customer retention, branding and role scoping are designed before the first schema, because retrofitting tenancy into a single-tenant product is close to a rewrite. We also build the operational side a vendor needs: tenant onboarding, usage metering, entitlement checks and per-tenant reporting. The intellectual property is yours, and the codebase is delivered into your repositories so your engineers can take the roadmap forward.
How do you test that detections actually fire?
With adversary simulation rather than assertion. Detection rules are unit tested against recorded telemetry, then exercised end to end using tools such as Atomic Red Team or Caldera in a lab environment that mirrors the production data sources. Coverage is tracked against MITRE ATT&CK techniques so gaps are visible rather than assumed, and the same test suite runs in the pipeline whenever a rule changes.
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