# Osavul Secures $10M Series A for Hybrid Risk Intelligence

> Hybrid risk intelligence firm Osavul raises $10 million in Series A funding to expand AI threat detection across cyber and physical domains.

- Published: 2026-10-02T03:09:32.000Z
- Severity: info
- Category: Threat Intel
- Tags: Threat Intel, Artificial Intelligence, Critical Infrastructure, Risk Management
- Author: Runtime Rebel Intel
- Primary source: https://www.securityweek.com/osavul-lands-10-million-to-spot-hostile-intent-across-cyber-physical-domains/
- Canonical: https://runtimerebel.com/blog/osavul-secures-10m-series-a-for-hybrid-risk-intelligence

## Key points

- Immediate impact: Government, defense, and critical infrastructure operators face intensifying hybrid attacks combining cyber operations, espionage, and physical sabotage.
- Affected systems: Organizations managing energy grids, transportation, finance, and sovereign infrastructure across Europe and allied regions.
- Remediation: Security leaders should integrate continuous hybrid risk intelligence to map external threat actor intent against internal assets, personnel, and supply chains.

## Overview of Osavul's Series A Funding

Hybrid risk intelligence provider Osavul has secured $10 million (€8.5 million) in a Series A financing round led by 33N Ventures, with participation from Balnord, G+D Ventures, and 42CAP. According to [SecurityWeek](https://www.securityweek.com/osavul-lands-10-million-to-spot-hostile-intent-across-cyber-physical-domains/), this latest investment brings the Luxembourg-based company's total capital raised to approximately €12 million. Originally developed during the conflict in Ukraine, the platform now supports government, defense, and security organizations across more than ten countries and contributes to NATO's Information Environment Assessment Capability.

## Technical Capabilities and Architecture

Osavul operates an artificial intelligence platform designed to ingest and analyze open-source data alongside privileged feeds. The system aims to identify hostile intent by correlating indicators across cyber, physical, and information domains before attacks materialize. Key architectural features include:

* **Intent Mapping:** Traces [threat actor](/glossary#threat-actor) objectives against specific organizational assets, including personnel, physical facilities, and supply chain dependencies.
* **Evidence-Traced Assessments:** Leverages human-in-the-loop analyst reviews to validate [AI](/glossary#ai)-generated insights and minimize false positives.
* **Sovereign Deployment:** Operates on-premises within sovereign infrastructure to ensure sensitive data remains within customer-controlled boundaries.

## The Rising Threat of Hybrid Campaigns

The funding arrives amid a documented surge in multi-domain adversarial activity targeting European entities. Osavul points to more than 150 state-linked incidents recorded since 2022, characterized by the convergence of network intrusions, physical sabotage, espionage, and disinformation campaigns. Commercial operators running critical infrastructure—such as energy grids, ports, airports, and financial institutions—frequently encounter these advanced threats without adequate visibility into adversary preparations.

### Strategic Expansion Goals

With the newly acquired capital, Osavul plans to scale its operations across three primary vectors:

* **Enterprise Adoption:** Expanding hybrid risk tooling beyond government agencies into commercial critical infrastructure sectors.
* **AI Enhancement:** Upgrading underlying algorithms to better process complex multi-domain intelligence feeds.
* **Defense Collaboration:** Deepening engagement with defense institutions and security partners to counter state-sponsored proxies.

## Risk Mitigation Considerations

Security professionals defending critical assets must account for threat actors combining digital intrusion vectors with physical disruption. Integrating [threat intelligence](/glossary#threat-intelligence) that spans cyber-physical boundaries allows security operations centers to anticipate hostile [reconnaissance](/glossary#reconnaissance) and coordinate defense-in-depth strategies across both corporate networks and physical facilities.

**Related:** [AI Guardrails Debate: Security Researcher Shifts Perspective](/blog/ai-guardrails-debate-security-researcher-shifts-perspective), [Neo Secures $100M: Fortifying Enterprise AI Software Security](/blog/neo-secures-100m-fortifying-enterprise-ai-software-security)

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AI-generated analysis from the primary source above; not human-reviewed before publication — verify anything operational against the original (https://runtimerebel.com/editorial). Quote with attribution and a link to the canonical URL: https://runtimerebel.com/blog/osavul-secures-10m-series-a-for-hybrid-risk-intelligence