APAC Cybersecurity · AI Engineering
AiRAT builds AI-powered triage, evidence layers, and detection workflows inside your existing SIEM and XDR stack - so your analysts work on what matters, not on alert noise.
Manage multiple clients across APAC without proportionally growing your analyst team. AI triage, automated evidence, and client-level isolation.
Accelerate investigation speed. Replace manual context gathering with AI-generated incident summaries and enriched timelines.
Scale detection-as-a-service with AI workflows built on your existing tooling - not a greenfield replacement.
Reduce tier-one backlog. Route high-confidence automated decisions to playbooks and keep analysts on true positives.
Deliver AI-augmented SOC outcomes to clients faster. AiRAT builds the platform; your team owns the client relationship.
The problem we solve
Alert fatigue is structural, not temporary.
Teams receiving 1,000–5,000 daily alerts cannot manually triage them. Staff turnover compounds the backlog.
Evidence is scattered across disconnected tools.
Analysts spend 40–60% of incident time gathering context - logs, threat intel, asset data - not investigating.
Compliance deadlines don't flex.
MAS TRM, OJK POJK 11, and PDPA require demonstrable audit trails. Disconnected systems fail audit review.
MDR margin is under pressure.
As threats grow, service provider margins compress unless the per-analyst efficiency multiplier increases.
AI pilots don't survive production.
LLM demos are easy. AI that runs 24/7 inside a regulated environment with audit logs and fallback logic is not.
SIEM replacement projects fail.
Ripping and replacing SIEM creates 6–18 month gaps in coverage. AiRAT layers AI on top of what you already run.
What AiRAT builds
Automated alert scoring, noise suppression, and prioritised incident queue on your existing SIEM/XDR
Structured incident timelines - logs, asset context, threat intel - pre-assembled for analyst review
Policy, runbook, and compliance Q&A with cited sources - answers in seconds, not days
Correlation rules, suppression logic, and a before/after noise reduction baseline
Audit-ready evidence packs for MAS TRM, OJK, PDPA - generated, not manually assembled
Guardrails, logging boundaries, fallback logic, and human review checkpoints for any AI system in your SOC
What AiRAT is - and is not.
AiRAT is
AiRAT is not
Proof from the field
A UAE enterprise SOC team processing 2,000+ daily alerts needed automation without replacing their SIEM. AiRAT built a multi-tenant correlation and evidence layer on top of existing infrastructure.
Relevant for: MSSPs · Enterprise SOC teams
Read case study →A FinTech needed threat response that didn't wait for human approval on high-confidence verdicts. The XDR Agent reasons, correlates, and acts - with full audit trails.
Relevant for: MDR providers · SOCaaS platforms
Read case study →Compliance questions that took three days of manual research now take 40 seconds with cited policy clauses. No hallucination - every answer cites the source document.
Relevant for: Compliance teams · Regulated enterprises
Read case study →How a diagnostic works
You describe your alert volume, SIEM stack, and biggest workflow bottleneck
We map your current triage process and identify the top 2–3 automation leverage points
We outline which of the 6 productized workflows fits your environment and team size
We agree on a scoped 2-week pilot or assessment - with defined outputs before we start
NDA available before any technical discussion. We respect data residency constraints
No pitch deck. You leave with a concrete improvement map even if we don't work together
Timezone: APAC overlap available (SG / HK / MY / ID / IN / AEST timezones). Remote or in-person for Singapore and India.
Which SIEM and XDR platforms does AiRAT support for SOC automation?
AiRAT builds AI workflows on top of Splunk, Microsoft Sentinel, Elastic SIEM, Wazuh, IBM QRadar, and custom log pipelines. We do not require a SIEM replacement - we augment what you run today.
How does AiRAT's AI SOC automation differ from an MSSP or a SIEM vendor?
AiRAT is an engineering partner, not a managed service reseller or software vendor. We build custom AI triage, evidence, and compliance workflows inside your infrastructure - your team owns and operates what we deliver.
What does a 2-week alert noise sprint actually deliver?
The sprint delivers: correlation rules for your top alert types, suppression logic reducing false-positive volume, and a before/after noise baseline with percentage reduction. You receive the rules, documentation, and metrics - not just a report.
Can AiRAT comply with MAS TRM, OJK, PDPA, and RBI data residency requirements?
Yes. AiRAT designs systems with data residency built in - on-premises, VPC-isolated, or hybrid. We are experienced with MAS TRM (Singapore), OJK POJK 11 (Indonesia), India CERT-In, and UAE data localization requirements. For Australian workloads, deployment stays within ap-southeast-2 (Sydney) or ap-southeast-4 (Melbourne) where APP 8 cross-border disclosure obligations apply.
How long does a full SOC automation platform take to deliver?
A scoped engagement starts with a 1-week assessment. Individual sprints (triage engine, evidence layer, RAG) run 2–4 weeks each. A full SOC automation platform across multiple workflows typically delivers in 8–14 weeks with agreed SLO acceptance criteria.
What is RAG for cybersecurity operations and why does it matter?
RAG (Retrieval-Augmented Generation) for cybersecurity lets analysts ask natural-language questions of your policies, runbooks, and incident history - and receive answers citing exact source documents. This reduces policy lookup time from hours to seconds and eliminates hallucination by grounding responses in your actual documentation.
30 minutes. Bring your SIEM, XDR, or alert triage bottleneck. We'll map the automation leverage points - no contract required.
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