Real-time security against machine-speed attacks.

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April 20, 2026

Stream Security

Cloud security

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Real-time security against machine-speed attacks.

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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.

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April 1, 2025

Initial release of Stream Security.

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Pros and 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

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

View 41 more pros

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

Dependent on 'CloudTwin' technology

No offline functionality

View 5 more cons

Q&A

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.

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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.

Can I use Stream Security to map network paths?

Yes, with Stream Security, you can map network paths. The sophisticated CloudTwin technology creates a real-time model of your entire cloud system, including network paths. This continuously updated map helps you stay ahead of threats.

How is identity security managed in Stream Security?

Stream Security effectively manages identity security by maintaining a real-time model of identities within the cloud system using its CloudTwin technology. This ensures that all identities are monitored, and any anomalous behavior can be swiftly identified and addressed.

Is Stream Security scalable for larger security workflows and tasks?

Yes, Stream Security is designed for scalability. It allows organizations to build, run, and scale their own AI-driven security workflows and tasks. This means that regardless of the size and complexity of your cloud environment, Stream Security can be scaled to meet your needs.

How does Stream Security detect anomalies across a cloud system?

Stream Security detects anomalies across the cloud system through its innovative CloudTwin technology. This technology creates a real-time model of the entire cloud system and instantly calculates the system when anomalies occur. This real-time approach allows Stream Security to identify and respond to anomalies promptly.

Does Stream Security have a feature for automatic alert triage?

Yes, Stream Security comes with a feature for automatic alert triage. The AI Triage system uses real-time context to triage every alert automatically, significantly improving the speed and efficiency of threat response.

What is the function of real-time context in Stream Security?

The real-time context in Stream Security enhances both threat identification and response. The platform keeps an updated real-time model of the entire cloud system, including applications, agents, data stores, identities, and network paths. This approach allows the system to not only detect potential threats in real time but also identify correlations and respond to detected threats quickly and accurately.

What do 'AI-driven security workflows' mean in Stream Security?

In Stream Security, 'AI-driven security workflows' refers to an advanced technology that enables organizations to build, run, and scale their own artificial intelligence-driven security workflows and tasks. These workflows use machine learning to assess and respond to potential threats, significantly enhancing the security of your cloud system.

How does Stream Security protect against machine-speed attacks?

Stream Security provides protection against machine-speed attacks through its real-time system model and rapid threat detection and response mechanisms. The platform operates in real time, allowing it to identify and handle threats that move at machine speed. This ensures that even rapid, automated attacks can be managed effectively.

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