Mikrisphere is an LLM-powered SIEM core built to displace the US-centric Big Tech monopoly. We solve the signal-to-noise deficit and provide a modular hedge against the operational fragility of legacy vendors.
Resilience against the US CLOUD Act and jurisdictional instability.
Model-independent logic via Model Context Protocol (MCP) tooling.
Proprietary IP-led orchestration layer ensuring a technical moat.
Automated T1/T2 noise suppression for analyst focus on complex risk.
of security alerts are ignored due to overwhelming volume (Gartner, 2024)
UK enterprise average cost per security incident (IBM Security, 2025)
Average time to detect and contain a breach in enterprise environments
Recent global tech outages (CrowdStrike/Microsoft) demonstrated that Europe’s digital backbone is built on operational fragility. Total dependency on US giants is a strategic vulnerability.
Unlike legacy "black box" platforms, Mikrisphere provides a modular hedge. If a cloud vendor or model provider fails, our platform remains operational through localized private inference and agnostic mesh nodes.
We target the "Sovereignty Gap" that global US corporations cannot fill without disrupting their own centralized cloud revenue models.
| Dimension | The G6 Giants | Mikrisphere |
|---|---|---|
| Jurisdiction | US CLOUD Act (High Risk) | UK & EU Native |
| Operational Moat | Locked ecosystem | Modular / Distributed |
| Data Flow | Compulsory Cloud Egress | Zero-Export Inference |
| AI Logic | Closed Proprietary Weights | Agnostic MCP Tooling |
Our defensibility is built on the Model Context Protocol (MCP)—standardizing the bridge between telemetry and intelligence.
Instead of a fragile AI "wrapper," Mikrisphere builds the orchestration layer. By utilizing MCP as a standardized tooling layer, we translate raw security telemetry into high-confidence AI reasoning.
Handling Tier 1/2 triage automatically through semantic logic.
Hardened private transport for sensitive log telemetry.
Phase 1: Heuristic Trigger
Credential spray attempt identified on SQL_VPC_01.
Phase 2: Context Enrichment
MCP pulled process tree metadata. lateral move detected.
Phase 3: Semantic Logic
AI Reasoning: "Pattern matches exfiltration tactic T1048."
// Importing Microsoft Sentinel Logic...
SecurityEvent
| where EventID == 4624
| summarize count() by Account, IPAddress
// Mikrisphere Bridge: Native Translation Complete.
LLM Enhancement Active
"Legacy rule enhanced with semantic context. Analyst will only be alerted if credential pattern matches non-standard device behavior."
Enterprise switching costs are our primary obstacle. We solve this by supporting KQL (Kusto Query Language) natively. Enterprises migrate logic from Microsoft Sentinel to Mikrisphere in hours.
Asset Preservation: Years of detection engineering in Sentinel are ported, not lost.
High Efficiency: The LLM handles the high-volume noise, Escalating only complex strategy problems to human analysts.
Three-phase deployment targeting high-value, compliance-heavy sectors where sovereignty concerns drive immediate adoption.
Our revenue model is designed for high-defensibility through MCP orchestration and regional "Sovereignty-as-a-Service" for high-compliance infrastructure.
Building the foundation for sovereign, AI-native security infrastructure across Europe and beyond.