Autonomous AI Engine

Four specialized analysis modes with RAG knowledge enrichment and topology impact assessment. Ollama (local) and OpenAI (cloud) providers.

Home / AI Engine

Analysis Modes

Fast Analysis

Quick diagnostics with RAG enrichment — similar past incidents included. 12 sec avg.

12 secRAG

Deep RCA

Full root cause with dependency graph + knowledge base traversal. 90 sec avg.

90 secGraph

Security Scan

Auth logs, network anomalies and privilege escalation analysis. 45 sec avg.

45 secThreat

Autonomous Fix

SSH execution plan with rollback, safety checks and policy classification.

SSHRollback

Enrichment Flow

Every analysis is enriched with RAG knowledge and topology impact before reaching the LLM.
🚨
1. Incident Created
Alert, manual or auto-detected incident triggers analysis
🔍
2. RAG Knowledge Search
Semantic search for similar past incidents, solutions, sessions
🔗
3. Topology BFS Traversal
Trace downstream service dependencies for blast radius
🧠
4. Enriched Prompt → LLM
Knowledge + impact + raw data sent to Ollama or OpenAI
✅
5. Resolve + Feedback Loop
Resolved incidents boost knowledge base confidence +0.15
🚨 Incident Created Context Enricher RAG Search + Topology BFS 📚 Knowledge Base Incidents · Docs · Code 🔗 Topology Graph Service Dependencies 🤖 AI Analysis (Ollama/OpenAI) ✅ Analysis Complete
Performance

Speed Comparison

SYNOTI vs traditional investigation — measured in real production environments.

⚡ SYNOTI Fast Analysis
12 sec
12s
🔍 SYNOTI Deep RCA
90 sec
90s
🛡️ SYNOTI Security Scan
45 sec
45s
👨‍💻 Manual Investigation
~45 min
~45m
📋 Industry Average (ticket-based)
~4 hrs
~4h
Intelligence Pipeline

Incident Auto-Analysis Pipeline

Fully automated incident lifecycle — from detection through 4-mode AI analysis.

🎯 Incident Detector ClickHouse anomalies 📡 Event Router Kafka event stream 🌐 API Create POST /incidents 📦 Redis Streams (CG+DLQ) XADD from detectors | XREADGROUP by consumer Q 🔁 Queue Consumer RPOP → INSERT pg 🗄️ PostgreSQL incidents table direct INSERT 🔍 Analysis Worker poll 30s → ai_analysis=NULL ⚡ Fast Analysis 🔍 Deep RCA 🛡️ Security 🤖 Autonomous Fix DETECTION · REDIS · PERSIST · ANALYZE — FULLY AUTOMATED Consumer poll: 5s Analysis poll: 30s
By the Numbers

SYNOTI in Production

0
Background Services
auto-restart · Docker
0
Prometheus Exporters
real-time metrics
0%
Self-Heal Rate
~90% auto-recovered
0
Endpoints Benchmark
100 GB/day
Trusted by Operators

What Teams Say

SYNOTI cut our MTTR from hours to under a minute for routine failures — the self-healing engine resolves most issues before my team even sees a ticket.
Operations Director
Financial Services
Air-gap readiness was the deciding factor. All 33 services run on our hardware with zero egress — exactly what our compliance team required.
Chief Information Security Officer
Government Sector
From Telegram ChatOps approvals to AI root-cause analysis, the platform fits how our SREs already work. Deployment took less than 15 minutes.
SRE Lead
Telecommunications
FAQ

Common Questions

Fast Analysis (12s), Deep RCA (90s), Security Scan (45s) and Autonomous Fix (120s), each with RAG enrichment.
Ollama (self-hosted, local) and OpenAI (cloud), with per-mode provider routing and automatic fallback.
Configurable — Layer 1–3 fixes can run automatically with circuit-breaker protection, or require approval via ChatOps.
Enterprise Ready
Air-Gap ReadyZero TelemetryWazuh 4.x XDRMITRE ATT&CK15 SOAR Actions230+ REST APIs5 RBAC RolesMTTR < 60s
Process Flows

How It Works

End-to-end pipeline diagrams from the SYNOTI engine.

Let AI do the heavy lifting

Deploy SYNOTI on your infrastructure today — air-gapped, self-healing, AI-native.

Get Started Free → Contact Sales