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Cloud security

Stream Security ✓

Real-time security against machine-speed attacks.

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CloudSecurity machineSpeedAttacks realTimeSecurity
More categories (4)
AI-drivenSecurity CloudTwinTechnology ThreatDetection Cloud security
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Verdict

A quick read before you dig into the full page.

Best if
Real-time security against machine-speed attacks
Skip if
Only for complex clouds
Pick this when
CloudTwin technology

Considering Upwind.io instead? Compare side by side

Overview

Stream Security is an AI-powered solution designed to provide sophisticated and real-time protection against threats and attacks in complex cloud environments.

The tool utilises technology dubbed 'CloudTwin', which essentially creates a comprehensive, real-time model of your entire cloud system, including applications, agents, data stores, identities, and network paths.

This allows for rapid detection and response to any security incidents. Importantly, Stream Security doesn't simply analyze signals, but rather computes the entire system when an anomaly occurs, providing needed insight.

The technology also offers real-time security visibility, maintaining an updated map of every asset, identity, and network path to help you stay ahead of threats.

The platform supports Agentic Workload Security, detecting threats at runtime across APIs, system calls, and payloads using eBPF sensors and native AI audit logs.

Designed for scalability, the system allows organizations to build, run, and scale their own AI-driven security workflows and tasks. It also features an AI Triage system that uses real-time context to triage every alert automatically.

In addition to these features, the system performs normalization, correlation, and impact analysis of logs across your entire cloud footprint. Integration with existing security frameworks further broadens coverage, ensuring that Stream Security fits seamlessly into your existing security mesh.

Stream Security website

Access & connections

Where you can use Stream Security.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular

Output

  • API
  • Text

Pros & cons

Pros

  • CloudTwin technology
  • Real-time threat detection
  • Comprehensive cloud system model
  • Scalable for organizations
  • Real-time asset mapping
  • Identity security updates
  • Integration with existing security
  • Runtime threat detection
Show 38 more
  • eBPF sensor usage
  • Log impact analysis
  • Network path mapping
  • Supports Agentic Workload Security
  • Normalized log analysis
  • Correlation analysis capabilities
  • API Security
  • Security across system calls
  • Real-time security visibility
  • Cloud-wide correlation
  • Cloud-wide impact analysis
  • Security across payload
  • Real-time context usage
  • Agentic workload security
  • Cloud footprint coverage
  • Security Framework Integration
  • Cloud normalization capability
  • Cloud correlation capability
  • Cloud impact analysis
  • Automated alert triage
  • Precise actionable insights
  • Seamless system integration
  • Real-time configuration change impact
  • Interconnected security mesh
  • Alert to response at machine speed
  • Full MITRE ATT&CK coverage
  • Dynamic asset representation
  • Log enrichment with real-time context
  • Automated malicious change rollback
  • Environment-aligned playbooks for responses
  • Resource-specific response procedures
  • Combines UEBA, ML, Rules and Canaries
  • Real-time detection at log ingestion
  • Snyk Container security integration
  • Cyera cloud security integration
  • Rapid correlation and analysis
  • Detailed attack storylines
  • Instant security investigation

Cons

  • Requires full cloud visibility
  • Only for complex clouds
  • Limited integration options
  • Complex setup process
  • Possible privacy concerns
  • High-resource usage
  • Potential for false positives
  • No standalone mobile application
Show 2 more
  • Dependent on 'CloudTwin' technology
  • No offline functionality

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Releases 1

Initial release April 1, 2025 Current
Initial release of Stream Security.

FAQ 12

What threat detection capabilities does Stream Security offer?
Stream Security offers thorough threat detection capabilities. It has a real-time system model that rapidly identifies and responds to any anomalies or potential threats. It supports Agentic Workload Security, which enables threat detection at runtime across system calls, API endpoints, and payloads. Stream Security uses eBPF sensors and native AI audit logs for threat detection, ensuring a holistic security assessment across the entire cloud system.
How does Stream Security model cloud environments?
Stream Security models cloud environments using it's CloudTwin Technology which essentially creates a comprehensive, real-time model of the entire cloud system, including applications, agents, data stores, identities, and network paths. This hence provides valuble insights and maintians an updated map of all assets, identities, and network paths.
What is CloudTwin technology and how does it work?
CloudTwin technology is a unique feature of Stream Security. It continuously creates a real-time model of an entire cloud system, including applications, data stores, agents, identities, and network paths. Rather than merely analyzing signals, it calculates the whole system when something unusual happens. This results in a dynamic security overview, providing clarity and rapid insight into all potential anomalies, threats, or attacks across an entire cloud environment.
How does Stream Security provide real-time security visibility?
Stream Security uses its CloudTwin technology to provide real-time security visibility. It maintains a consistently updated map of every asset, identity, and network path in the cloud system. The CloudTwin technology computes the state of the entire environment continuously, thus keeps you ahead of security threats.
What is Agentic Workload Security?
Agentic Workload Security is a feature of Stream Security that enables the detection of threats at runtime across APIs, system calls, and payloads using eBPF sensors and native AI audit logs. This feature allows for a more pro-active approach to security by identifying potential threats during their operation rather than after.
How does API security work in Stream Security?
API security in Stream Security is underpinned by the Agentic Workload Security feature. This allows for threat detection at runtime across various APIs. It uses eBPF sensors and native AI audit logs for comprehensive API threat identification.
What are eBPF sensors used for in Stream Security?
In Stream Security, eBPF sensors are used to enhance the threat detection capabilities. These sensors capture network, API, process, and file activity data in real-time, which is then analyzed to detect possible irregularities or threats. This information facilitates the system's ability to identify threats during their operation.
How does the AI Triage system function?
The AI Triage system in Stream Security is designed to handle every alert efficiently and promptly. Utilizing real-time context, the system triages every alert automatically. This means that as soon as a potential threat is recognized, the system immediately evaluates and addresses it, increasing the effectiveness and speed of threat response.
Can I integrate Stream Security with my existing security frameworks?
Yes, you can seamlessly integrate Stream Security with your existing security frameworks. In fact, Stream Security is designed to broaden coverage and fit organically into current security meshes. This results in an enhanced, more robust security system that encapsulates and further strengthens existing security measures.
How does Stream Security respond to security incidents?
Stream Security responds to security incidents swiftly and efficiently. Its real-time system model allows it to detect and address any anomalies quickly. In addition, the platform has an AI Triage system that uses real-time context to triage every alert automatically, ensuring rapid response to any threat.
Does Stream Security support normalization and correlation of logs?
Yes, Stream Security supports normalization and correlation of logs across your entire cloud system. It ensures that all logs across the system are normalized into a common index format, and it maps every log to its originating actor, enabling you to see correlations and detect potential threats.
How does the Stream Security tool perform impact analysis of security logs?
Stream Security uses real-time cloud data to perform impact analysis of security logs across your entire system. By calculating the impact of every configuration change in real time, it provides immediate insight into any potential threats or anomalies.
Stream Security
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