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Today, we’re excited to roll out our SaaS-sourced threat detections, built to give SecOps teams complete visibility across the services powering their cloud. Stream’s SaaS detections extend our end-to-end visibility beyond all cloud layers to include SaaS as part of our commitment to delivering full-spectrum coverage in a single platform.

We just released an integration with GitHub Audit Logs! 🥳 This integration is designed to address a wide range of GitHub threats by providing deep visibility into GitHub activities and enabling real-time detection of malicious behavior through Stream’s advanced detection mechanisms. Investigate and respond to GitHub threats quickly, with the context you actually need to take the right action.

We’re grateful to share that customers rated their overall satisfaction with Stream.Security at 96.3%.

A new architecture for modern cloud defense

Most security tools show pieces of cloud activity, but miss how events and data connect across layers. Cloud context reveals the full story: how identities, configurations, behavior, and workloads interact in real time. With this visibility, security teams can detect, investigate, and respond to threats with speed and precision.

Traditional security tools focus on scanning files written to disks, but what happens when no file ever lands there? Fileless attacks bypass static analysis and disk-based detection by executing directly in memory, often through existing tools like Bash, Python, or PowerShell. Although the Linux system call has benefits for software development, especially in the cloud, including use in sandbox frameworks, containerized applications, and temporary computations, those benefits are manipulated by threat actors to carry out attacks.

Real-time cloud visibility is the foundation for modern incident response. It lowers MTTD, MTTC, and MTTR. It empowers every SOC tier. And it turns scattered workflows into one seamless response.

We're an industry obsessed with what we do, but often at the expense of why it matters.

Powered by Stream’s proprietary CloudTwin that gathers real-time cloud context from network activity, behavioral signals, and configuration changes, Stream Guided Response can predict the impact of response actions across all cloud layers. This moves response planning beyond playbooks, enabling tailored mitigation per incident based on breach scope, resolution paths, and potential business impact.

By now, you’ve probably read Verizon’s 2025 Data Breach Investigations Report (DBIR) (or skimmed the highlights on LinkedIn.) Ransomware attacks are up. Credentials are leaking like a broken pipe. Exploits are targeting your edge devices. You know the drill. But let’s step back. What the DBIR really reveals, beneath the usual stats and graphs, is something much bigger. It exposes a fundamental misalignment in how most organizations think about cloud security.