Executive Overview
Senad Aruc
Founder, CEO
Imperum
Senad Aruc
Founder, CEO
Imperum
Imperum is the autonomous SOC platform. In this executive overview, Imperum explains how its native AI agents triage, investigate, and resolve security alerts at machine speed — fully auditable, on-prem or cloud LLM, with analysts in control of every critical action — alongside Agent Studio for building custom agents, the MCP Gateway that exposes every security tool to every AI, and Virtus Optimus detection-as-code across every SIEM you run.
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Technology Demos
Imperum Platform Demo
Senad walks through Imperum's autonomous SOC platform, showing AI agents, agent studio, LLM infrastructure, automation, detection engineering, alert triage, AI asset discovery, and threat intelligence.
- 2 Minute Intro
- 5 Minute Product Tour
- Deep Dive Demo
Imperum AI Story
A look at how Imperum is building an autonomous SOC with agentic AI, sovereign architecture, 3000+ AI agents, API integrations, MCP, and multi-tenant capabilities.
Capabilities Demos
Threat intelligence & automated detection
- Threat intelligence
- Advisory analysis
- IOC extraction
- Rule generation
AI asset discovery & exposure management
- AI asset discovery
- PII detection
- Prompt injection
- Endpoint monitoring
AI alert triage & case routing
- Alert triage
- Case prioritization
- Severity scoring
- Analyst routing
Detection engineering & rule management
- Rule monitoring
- Drift detection
- Rule generation
- Pipeline testing
AI-powered security automation
- AI playbooks
- Workflow design
- Drag-and-drop
- Automated debugging
AI brain & alert optimization
- Local AI brain
- Alert optimization
- Analyst feedback
- Token reduction
MCP gateway & technology integration
- MCP gateway
- API integration
- Technology marketplace
- Agentic access
LLM routing & auto-tuning
- LLM routing
- Capacity probing
- Prompt chunking
- Auto-tuning
PI redaction & LLM balancing
- PI redaction
- Cloud LLM protection
- LLM pooling
- Load balancing
AI backend & multi-LLM orchestration
- Multi-LLM support
- Per-agent models
- RAG backend
- Augmented graph
