Stream Security has announced the general availability of StreamForce, an AI agent orchestration platform built natively on the company's live environment model. The platform is designed to help security teams build, deploy, and operate AI agents that already understand their production environments without requiring organizations to create complex infrastructure, normalize security data, or rely on predefined workflows. By providing AI agents with real-time environmental context, StreamForce aims to improve the accuracy, speed, and scalability of security operations.
According to Stream Security, the biggest challenge facing AI-powered security operations is not AI speed but the lack of accurate environmental context. Modern enterprise environments constantly evolve across cloud infrastructure, SaaS applications, on-premises systems, identity services, ephemeral assets, and even AI agents, making it difficult for conventional security tools to maintain an accurate representation of production environments.
The company believes AI systems operating on outdated or incomplete information can produce inaccurate recommendations, regardless of how advanced the underlying language models are. StreamForce addresses this challenge by providing AI agents with a continuously updated environment model that reflects current production conditions.
"It is like asking Waymo to figure out what the city looks like from the windshield alone, instead of simply handing it a real-time GPS. For three years, we built the map that updates as the city changes around it. StreamForce is what happens when you hand AI agents ground truth instead of asking them to reason their way to it from logs."
Or Shoshani, CEO, Stream Security
Rather than requiring organizations to build AI infrastructure from scratch or depend on vendor-created workflows, StreamForce provides AI agents with direct access to Stream Security's normalized data fabric. This live environment model continuously updates as infrastructure changes, allowing AI agents to work with current production data instead of relying on historical logs.
The platform covers cloud environments, on-premises infrastructure, SaaS applications, identity systems, ephemeral assets, and AI agents already running in production. As a result, security teams can create AI-powered security workflows using natural language while enabling those workflows to operate against an up-to-date view of their environments.
According to Stream Security, this architecture helps reduce AI hallucinations, lowers token consumption, and enables more accurate threat analysis by grounding AI responses in live operational data.
Hunt Consolidated participated in the early access program for StreamForce to evaluate AI-driven security operations.
"Our organization has embraced AI workflows broadly, but like many, we remain cautious about accuracy, unintended actions, and gaps in coverage. One of the reasons we moved forward with StreamForce is that Stream already has a strong, trusted model of our cloud environment. That foundation gives us confidence to extend into AI-driven workflows. Traditional SOAR approaches can be difficult to architect, maintain, and scale effectively, and they often slow progress rather than accelerate it. StreamForce gives lean security teams a way to quickly validate defenses against active attack techniques, without building and maintaining complex integrations. It is helping us move faster on security initiatives that have historically been delayed due to complexity."
Michael Young, Cybersecurity Director, Hunt Consolidated
StreamForce is now generally available for organizations looking to deploy AI-powered security workflows. The platform is designed to help security teams improve threat detection, investigation, and response by providing AI agents with real-time environmental awareness rather than requiring organizations to build custom AI infrastructure or rely on static security workflows.
As AI adoption continues across enterprise security operations, platforms that combine AI orchestration with continuously updated environment intelligence are expected to play an increasingly important role in improving operational efficiency and decision-making.
About Stream Security
Stream Security is the live environment model the security industry never had. A continuously updated map of the entire environment so every detection, investigation, response, and AI agent operates on ground truth. AI makes security faster. Stream makes it real.
