Sovera Security provides an AI-native security operations platform that rebuilds threat detection, investigation, and response around agentic AI while preserving full operational sovereignty. The platform correlates low-level telemetry across existing SIEM, EDR, identity, cloud, and network tools to identify stealth behavior that high-volume alerting misses. It runs in any datacenter, cloud, or region, with customers retaining control over data flows, model usage, and response actions.
Funding
Funding not disclosed
Founders
Product
Problem
Modern security operations centers (SOCs) are overwhelmed by high-volume alerting tools that generate thousands of alerts while missing the weak signals and stealth behavior that precede real incidents. Traditional platforms were built to find known issues and rely on static playbooks, leaving organizations exposed to living-off-the-land activity, credential abuse, and lateral movement. As AI becomes essential for SOC effectiveness, security teams lack a solution that integrates AI without ceding control over their data, models, or operational decisions.
Solution
Sovera Security provides an AI-native security operations platform rebuilt from the ground up for agentic AI, not retrofitted from workflows designed for humans. The platform continuously hunts across security and operational data, using contextual correlation of vectorized telemetry and enrichment layers to identify weak indicators and stealth behavior before they become breaches. Response is playbookless, with AI reasoning across signals to adapt containment actions in real time while human expertise governs critical decisions. The platform is open and technology-agnostic, integrating with existing SIEM, EDR, identity, cloud, network, and data lake sources through APIs and MCP servers, and it runs in any datacenter, cloud, or region. Operational sovereignty is central, giving customers control over telemetry, detections, AI model usage, and response actions to meet regulatory requirements without sacrificing visibility or speed.
Target Audience
Primary customers are enterprise security operations teams, managed security service providers, and public-sector organizations, including municipal critical infrastructure operators, that need AI-driven threat detection and response while maintaining control over data residency and operational decisions.
Features
- Contextual correlation engine that analyzes low-level telemetry and weak indicators using vectorized security data and intent-aware correlation to detect living-off-the-land activity, credential abuse, lateral movement, and subtle persistence techniques
- Playbookless response system that reasons across signals and adapts to the actual environment for real-time containment
- Continuous validation AI that surfaces blind spots, recommends tuning, and enables rapid rollout of new protections as environments change
- Open connector framework with native integrations to SIEM, EDR, identity, cloud, network, and data lake sources via APIs and MCP servers, deployable in days
- Operational sovereignty controls that let customers own policies, data flows, model usage, and response actions across any datacenter, cloud, or region
- Managed active defense combining continuous hunting, adaptive detection, and real-time containment with human expertise governing critical decisions