New capability extends RoonCyber’s Runtime CNAPP platform to detect, monitor, and contain AI-driven activity across cloud environments.
BOSTON, MA — March 20, 2026 — RoonCyber today announced AI Workload Protection, a new capability that extends its Runtime CNAPP platform to help organizations secure the rapidly growing use of AI agents, automation, and AI-powered workflows across cloud environments.
As enterprises deploy AI systems that interact with APIs, services, and internal data systems, traditional security tools struggle to understand how AI interacts with production infrastructure. RoonCyber’s AI Workload Protection addresses this challenge by detecting and protecting the runtime behavior of AI systems, giving security teams visibility into how AI workloads access cloud resources, services, and sensitive data.
The new capability builds on RoonCyber’s agentless CNAPP and runtime telemetry architecture, enabling organizations to identify and contain AI-driven threats across their cloud environments.
“Most AI security tools focus on prompts or model responses, but the real risk is what AI actually does inside your infrastructure,” said Gene Fay, CEO of RoonCyber. “AI agents can trigger APIs, access data stores, and interact with production systems. RoonCyber’s AI Workload Protection gives organizations the visibility and runtime defense needed to safely adopt AI without introducing new blind spots.”
While many security solutions focus on analyzing prompt injection or model safety, modern AI systems operate through complex workflows that interact directly with cloud infrastructure. RoonCyber’s runtime sensors observe activity at the kernel and application layers, capturing system calls, network connections, process execution, and data access. This telemetry allows security teams to detect the real-world consequences of AI-driven activity, rather than relying solely on prompt inspection.
RoonCyber’s Runtime CNAPP platform continuously maps cloud infrastructure including compute, storage, applications, APIs, and network services. By correlating runtime activity with this inventory, RoonCyber identifies how AI-driven activity interacts with the broader environment in real time. By connecting runtime behavior with cloud context, organizations can see how an AI workflow might move through their environment and what assets may be at risk.
As organizations rapidly integrate AI across their applications and infrastructure, security teams face a new challenge: ensuring AI can operate safely within production environments.
“AI is transforming how applications interact with cloud infrastructure,” said Bret Settle, Chief Product Officer at RoonCyber. “Our goal is to give security teams the runtime visibility and context they need to understand how AI systems operate across their environment and stop threats before they impact the business.”
Learn More
RoonCyber will showcase its AI Workload Protection capabilities during RSA Conference 2026.
To learn more about how organizations can secure AI workloads at runtime, book a meeting or read the full blog post about Runtime CNAPP with AI Workload Protection:
Why Securing AI Workloads Requires Runtime Visibility
About RoonCyber
RoonCyber delivers a Runtime CNAPP platform designed for modern cloud environments incorporating AI technologies, providing continuous visibility into applications, APIs, and cloud workloads. By correlating runtime activity with cloud infrastructure and data exposure, RoonCyber helps organizations detect, prevent, and contain real threats, understand blast radius, and translate technical risk into clear business impact for the AI era.
