Fuse
Detect
Investigate
Respond

Autonomous Normalization, Enrichment and Correlation

The work most tools hand to you, we handle automatically.

Every log, normalized, enriched, and correlated the moment it hits our pipeline. No parsing rules. No correlation rules. No playbooks. By the time detection runs, the hard work is already done.

Most tools show you what changed. Stream shows you what it means.

Every configuration change is automatically mapped to its security impact - internet exposure, privilege escalation, attack path creation,  the moment it's ingested. No manual correlation, no chasing ARNs across consoles. By the time an alert fires, the blast radius is already calculated.
Dashboard showing configuration change event with details, risk summary, resource scope, and associated resources, listing multiple security risks and permissions related to AWS resources.
Threat Detection showing Anomalous Data Store Connectivity with details on outbound connections, traffic volume graph from August 13-20, and related threat activity including severity and confidence levels.

Full  audit activity, enriched before you ever see it.

Every action resolved to the actual executing identity or workload, with complete log enrichment not a raw event string. Stream normalizes and enriches  audit logs across Cloud, IdP, PaaS and SaaS into a unified model so your detections run on clean, correlated data from day one. with the actual principal doing the operation

Traffic that already knows what it's talking to.

Every flow log is automatically enriched with resource context, sourcing from agntless cloud flow logs, our eBPF sensor or your exsiting EDR.
Threat Detection dashboard showing details and risk analysis of an anomalous AWS EC2 instance connectivity with high severity alerts and unusual outbound connections.
AI Triage on a k8s threat detection alert

Runtime activity, in context, from the moment it happens.

Every workload process is tied to its container, its cluster, its owner, and its baseline — automatically. Stream tracks what ran, what spawned it, and whether it's ever been seen before.

Every API interaction, already understood, including the ones your AI agents are making.

Modern cloud environments don't just have humans and services calling APIs. AI workloads, MCP servers, and autonomous agents operate with broad permissions and make high volumes of API calls that look legitimate until they aren't. Stream ingest API logs from cloud native source liks load balancer access logs, wafs like cloudflare, or directly from workload using our eBPF sensor.
Threat Detection dashboard showing details and risk analysis of an anomalous AWS EC2 instance connectivity with high severity alerts and unusual outbound connections.
AI Triage on a k8s threat detection alert

Storage activity that tells the full story, not just the event.

Every file operation is automatically linked to the resource that owns it. Stream tracks access patterns across your cloud storage footprint so data exfiltration and ransomware staging are caught with context, not just volume thresholds.
Fuse
Detect
Investigate
Respond
From Raw Signals to Enriched, Correlated Intelligence at the Speed of Ingestion
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Stateful cloud detection ​with no tradeoffs.
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See how the attack began,​what the adversary did,​and where it could go next.
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Act precisely. Recover confidently.
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CloudTwin™ 
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The Industry's Only Real-Time Detection and Response Solution Purpose-Built for the Cloud
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What's new

Blog
Stream Security Now Supports OpenAI Platform Audit Log Ingestion for Comprehensive AI Control-Plane Threat Detection
Asaf Haski
News
Stream Security Wins “Trailblazing Cloud Detection & Response” Award at the 2025 Top InfoSec Innovator Awards
Stream Team
Upcoming event
Grit Event Dinner - Feb 27
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