SD Monitoring — 100% Data Ingestion Visibility | SD Unified Platform

Vendor-agnostic endpoint integration

SDP is engineered for heterogeneous Malaysian enterprise security stacks. SD Monitoring integrates natively with:

• Trend Micro — Apex One, Vision One, Deep Security
• Palo Alto — Cortex XDR, NGFW, Prisma Access
• Fortinet — FortiEDR, FortiGate, FortiSIEM
• Elastic — Elastic Security, ECS-formatted ingestion
• Microsoft 365 — Defender for Endpoint, Defender for Identity, audit log feeds
• Zoho — SDP ticketing, Zoho Vault, Zoho People (for HR-context correlation)
• And others via API — any source that exposes REST, syslog, webhook, or JSON-over-HTTPS

Vendor neutrality is the “no lock-in” promise in practice. Customers keep the security investments they have already made. Simply Data adds the agentic AI layer and the unified monitoring layer on top.

This is a deliberate architectural choice. Other Malaysian MSSPs resell a single SIEM (Splunk, Sentinel, XSIAM) and force customers into the vendor stack. SDP takes the opposite approach — customers bring their existing telemetry sources, SDP unifies and acts on them.

Threshold-CSV alerting pipeline

The threshold-CSV alerting pipeline is one of SDP load-bearing automation patterns. It is the answer to “alert me when X drops below Y” at scale.

The pipeline works as follows:

1. Threshold definition. Each tenant defines threshold tables — ingestion volume floors per source, time-since-last-heartbeat ceilings per endpoint, alert-volume anomaly bounds.
2. Continuous evaluation. SDP evaluates thresholds against live telemetry on a per-tenant scheduler.
3. CSV generation. When a threshold breach is detected, SDP generates a CSV evidence file with the breach detail (source, time, volume, baseline).
4. Ticket attachment. The CSV is automatically attached to a SOC ticket in Zoho SDP, with full breach context.
5. AI investigation. The agentic AI triage layer picks up the ticket, correlates against prior breach patterns, classifies severity, and either closes (false positive — known noise window) or escalates.
6. Customer notification. Where appropriate, the customer security lead is notified via Microsoft Teams or email, with a link to the SDP-Portal ticket view.

This is the productivity unlock for ingestion health monitoring at scale. No human writes “EDR on host X stopped reporting at 02:14” — the pipeline writes it, attaches the evidence, and routes it to the right place.

SD Monitoring vs commodity ingestion monitoring

Several SIEM and SOAR vendors offer “ingestion health” tiles in their consoles. SD Monitoring is engineered for a different bar.

The integration with the agentic AI layer is the multiplier. When a threshold breaches, SDP does not just light a console tile — it opens a ticket, attaches the evidence, runs AI triage, and surfaces the outcome to the customer via SDP-Portal. End-to-end.

SD Monitoring deployment patterns

SD Monitoring supports three deployment patterns matched to customer requirements:

Pattern 1 — Full Simply Data managed. Simply Data SOC team operates SD Monitoring end-to-end. Customers see the visibility surface via SDP-Portal. Typical for BNM-regulated FIs, government agencies, and large enterprises without an internal SOC.

Pattern 2 — Co-managed. Simply Data SOC team operates the platform; customer security team operates response actions for their own estate via SDP-Portal (with appropriate role grants). Typical for large enterprises with a mature internal security function.

Pattern 3 — Customer-managed with Simply Data backstop. Customer security team operates SD Monitoring directly; Simply Data SOC team provides escalation backstop and after-hours coverage. Typical for organisations with mature 24/7 internal SOCs seeking compliance-grade audit chain.

All three patterns retain the per-tenant audit trail and the compliance evidence pipeline.