Stream’s CloudTwin platform continuously builds a live model of workloads, identities, permissions, and network paths across multi‑cloud, Kubernetes, VMware, IdP, and SaaS environments, delivering full MITRE ATT&CK coverage with AI‑tuned detections and a context‑aware anomaly engine. Its agentic triage automatically prioritizes alerts, boosting detection coverage to near‑complete levels without extra staff, while instant, full‑context attack storylines and StreamForce eBPF agents enable real‑time investigation and machine‑speed response.
Funding
$30M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4OFounders
Product
Problem
SecOps teams struggle to achieve real‑time visibility and accurate threat detection across complex multi‑cloud, Kubernetes, VMware, IdP, and SaaS environments, where raw telemetry creates noise and traditional tools miss lateral movement and AI‑driven workloads.
Solution
Stream’s CloudTwin platform continuously rebuilds a live model of every workload, identity, permission, and network path, providing full MITRE ATT&CK coverage without false positives. AI‑driven agentic triage automatically prioritizes alerts, raising detection coverage from typical levels to near‑complete visibility without additional headcount. Instant investigation storylines combine entry point, attacker actions, and projected blast radius, enabling analysts to validate decisions in real time. StreamForce agents execute response actions at machine speed, allowing automated containment directly from the investigation UI. The platform’s live map and context‑aware anomaly engine give security teams and AI tools a precise, up‑to‑date view of exposure before attackers can exploit it.
Target Audience
Primary customers are SecOps and SOC teams in enterprises that operate multi‑cloud, hybrid, or containerized environments and need automated detection, investigation, and response at scale.
Features
- Real‑time CloudTwin model that maps workloads, agents, identities, permissions, and network paths across public cloud, Kubernetes, VMware, IdP, and SaaS
- Full MITRE ATT&CK coverage with AI‑tuned detections and a context‑aware anomaly engine to eliminate false positives
- Agentic triage that automatically prioritizes alerts, boosting detection coverage to 95% without extra staff
- Instant, full‑context attack storylines from entry point to blast radius, eliminating manual query and correlation
- StreamForce eBPF agents for machine‑speed, automated response actions integrated into the investigation UI
- Live exposure map that visualizes lateral‑movement paths and real‑time risk for both human analysts and AI workflows