The Problem
Security was built around collecting logs and hoping you'd find the answer in time.
That doesn't work when attacks are autonomous, agents are acting from inside, and every second counts.
Layering AI on legacy tools doesn't fix the underlying data problem, it inherits it.
Patent Pending
A deterministic, intelligence layer that models your entire cloud in real-time.
Our CloudTwin technology continuously computes the state of your entire environment. Wokrloads, Applications, agents, datastores, identities, and network paths, all modeled live. Context and risk are correlated to behavior at ingest speed, so every detection fires context-complete.
CloudTwin doesn't analyze signals. It computes the system itself. When something happens, the consequence is already known. No blind spots. No waiting for context that should have been there from the start.
From alert to respond at machine speed
Control. Speed. Confidence.
Everything your team and AI needs to move faster than modern threats
Real-time Cloud Defense
Full MITRE ATT&CK coverage out of the box, across Cloud, K8s, VMware, IdP & SaaS. AI continuously builds and tunes detections, while a context-aware anomaly engine fills the gaps.
See every agent. Stop every threat.
Discover Agentic workloads and their blast radius. Detect threats at runtime across APIs, system calls, and payloads, powered by eBPF sensors and native AI service audit logs.
Stream.Force Agents
StreamForce enables organizations to build, run, and scale their own AI-driven agentic workflows ontop of the CloudTwin system model.
Autonomous Al Triage
AI uses real-time CloudTwin context to triage every alert automatically, taking you from 35% to 95% detection coverage without adding headcount.
Instant Investigation Storylines
No queries. No manual correlation. Just instant attack storylines with full context, from entry point to blast radius.
Real-Time Security Visibility
A live, continuously updated map of every asset, identity, and network path, so you always know your exact exposure, before an attacker does.
Platform
Context Before Detection
Stream maintains a complete, real-time representation of every workload, AI agent, datastrore, network, and identity, along with their configuration, posture, and activity.
All logs are normalized accross your entire footprint to a common index format.
Every log is enriched with real-time asset context, risk, IP intelligence, IOC correlation and MITRE.
Every log is automatically mapped to its originating actor.
The impact of every configuration change is calculated in real time, providing immediate insight.
Full coverage. Zero trade-offs.
Uncover correlations between configuration changes, their impact, and active threats.
Detect threats early, bring your existing EDR/CWP detections into one unified, context-aware platform.
AI uses real-time context to eliminate noise, ensure full coverage, and surface attacks early.
eBPF sensors capture network, API, process, and file activity to detect AI and application threats.
Detections fire at the speed of log ingestion, reducing MTTD by 60% compared to traditional solutions.
See the full story. From initial access to what’s next.
Trace back to the exact moment and method of compromise.
Detect everything while eliminating false positives with your cloud’s live state.
Every asset comes with complete environmental context and relationships.
AI-powered insights with human oversight and decision-making authority.
Precision and speed to outpace the adversary.
Response procedures tailored to resource specific state.
Minimize downtime with AI analysis that understands business impact.
Intelligent recommendations with human verification.
Instantly rollback malicious configuration changes that are out of allowed posture.
Integrations
Amplified with your existing security mesh
Hear it from our customers
