Muhammad
Ari Setiawan

AI Security Engineer · Solutions Architect

I build AI systems that do security operations at scale — not just use tools, but engineer the entire stack: detection, correlation, response, and memory.

10+

Years enterprise security

80+

On-premise projects

7+

AI agents in production

10k+

Events / sec

Tier 4

Execution harness

100%

Automated tier-1

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// ENTERPRISE DELIVERY

On-Premise Project Track Record

20+

SD-WAN Deployments

Multi-site WAN transformation across enterprise and government

12+

Network and Security Revitalization

7 data centre & campus refreshes · 5 secure access modernisations

30+

Migrations & Implementations

NGFW · WAF · Mail Gateway · SOAR · VPN+MFA · ZTNA · EDR/XDR

5

NOC Build-outs

Network operations centre design, tooling, and runbook delivery

7

SOC Implementations

SIEM onboarding, detection engineering, and analyst workflow design

5

Managed Services

Ongoing security operations and infrastructure management engagements

// SELECTED WORK

What I've built

all projects →
AI / Orchestration

Autonomous SOC — Agent Fabric

Production-grade multi-agent AI fabric with Tier 4 execution harness

7+

Concurrent agents

<30s

Task dispatch latency

100%

Tier-1 coverage

Claude / Codex / OpenCode / AntigravityMCP (Model Context Protocol) serversGraphiti (temporal KG)FalkorDB+5
[+]
Data / Pipeline

Enterprise Log Pipeline

Stream processing from raw syslog to normalized OCSF at scale

10k+

Events / sec

<2s

Ingest latency

100%

Raw retention (MinIO)

Cribl StreamKafka (KRaft 3-node)ClickHouseMinIO+2
[+]
Security / Detection

Threat Detection & XDR Engine

Behavioral correlation with multi-source alert and endpoint telemetry fusion

40+

Correlation rules

<5s

Triage latency

3

IOC feed sources

PythonRedisClickHouseMISP+3
[+]

// PHILOSOPHY

I think in pipelines, not perimeters.

Modern security failures aren't about missing a firewall rule — they're about not connecting signal across systems fast enough. My work focuses on building the infrastructure that makes that connection automatic, auditable, and scalable.

Multi-agent AI orchestration for autonomous SOC operations

Enterprise-grade log pipelines processing millions of events per hour

Behavioral correlation beyond signature-matching

Temporal knowledge graphs for cross-session agent memory

// COLLABORATE

Let's build something together

Open to technical collaborations on AI security, multi-agent systems, detection engineering, and log pipeline architecture. If you're solving a hard problem in these spaces, let's talk.

AI/agent systemsSOC automationthreat detectionlog pipelinessecurity architecture
Reach out →

// MENTEES

People I'm guiding

I work with a small group of security and engineering practitioners — helping them go from learning the craft to owning production systems.

// ACQUIRING TEAMS

Open to the right
strategic fit

If your team is scaling security operations, building AI-native infrastructure, or needs someone who can architect and ship — not just advise — I'm open to conversations about acquisition or senior technical roles.

Start a conversation →
10+ yearsenterprise security delivery across 80+ on-premise projects
AI-native7 agents in production — not pilots, not demos
Full stackdetection → pipeline → response → memory — end to end
ShipsTier 4 execution harness, 100% automated tier-1 response