Company momentum reflects growing demand for continuous runtime visibility, actionable AI security, and customer-driven innovation

BOULDER, Colo., Nov. 3, 2026 – ROONCYBER.AI, a provider of Runtime AI Workload Security, today announced 5X growth in the past quarter, highlighting the company's growing momentum as organizations seek greater visibility, context, and protection for AI workloads operating in production.

As organizations rapidly adopt AI agents, models, applications, and connected services, security teams face an increasingly complex challenge: understanding what is actually executing across their environments. While many security solutions focus on analyzing alerts, prompts, or events, ROONCYBER.AI has remained committed to building security around continuous, kernel-level runtime visibility.

"You can't protect what you can't truly see," said Gene Fay, CEO of ROONCYBER.AI. "Without understanding what's actually executing in production, you can't get real context, real prioritization, real protection, real remediation, or real prevention. We've stayed focused on building the runtime foundation that makes all of those outcomes possible. Our growth reflects the momentum behind that commitment and the value we're delivering to customers."

A Commitment to Real Runtime Security

As runtime becomes an increasingly prominent term in cybersecurity, ROONCYBER.AI believes the distinction between directly observing workload execution and analyzing selected activity is more important than ever.

The company's technology uses sensors operating at the kernel level to continuously observe execution across applications, services, APIs, workloads, and AI components. This provides security teams with direct evidence of what is actually happening in production, rather than relying solely on information passed through an LLM, gateway, or other monitoring layer.

That foundation enables organizations to move beyond overwhelming alerts and disconnected security findings toward deterministic insights, meaningful prioritization, and actionable protection.

ROONCYBER.AI's approach is built around five essential security outcomes:

• Real Context: Understand what AI workloads are doing, what they access, and how activity connects across the environment.

• Real Prioritization: Focus security efforts on actual runtime behavior, exposure, and potential business impact.

• Real Protection: Identify and block malicious activity based on evidence of execution.

• Real Remediation: Give security teams the context needed to contain threats and address their underlying causes.

• Real Prevention: Reduce risk by identifying dangerous behavior and enabling action before it leads to broader compromise.

By establishing continuous runtime visibility as the foundation, ROONCYBER.AI helps security teams understand what AI is actually doing in production and take action based on observed behavior rather than assumptions.

Built for Customers, Backed by Experienced Security Leaders

Beyond its technology, ROONCYBER.AI attributes its momentum to a commitment to working closely with customers and continuously innovating to address the security challenges they face every day.

"Runtime is where the truth about AI lives. Seeing exactly what our models and agents do the moment they execute, instead of inferring it from logs after the fact, is what lets us tell more than 300 financial-services customers, with evidence, that the AI defending them is itself secure. ROONCYBER.AI gave us that ground truth without slowing us down," said Josh Shaul, Chief Executive Officer of Allure Security.

Combining the agility of a startup with the experience and forward-thinking vision of seasoned cybersecurity leaders, ROONCYBER.AI continues to prioritize customer feedback, rapid innovation, and practical security outcomes. This approach allows the company to anticipate emerging AI security challenges and introduce new capabilities that help customers keep pace with evolving technologies.

Recent advancements include ROONCYBER.AI's MCP integration with Claude, enabling security teams to connect their runtime intelligence to AI tools, get answers faster, and make more informed security decisions.

"With AI advancing so rapidly, customers aren't looking for another dashboard or another flood of alerts. They want to know what's happening, what matters, and what they can actually do about it," continued Fay. "We have the advantage of being nimble enough to work directly with customers, move quickly, and build around their needs, while bringing the experience of leaders who understand what it takes to secure complex enterprise environments. That's the kind of company we're committed to building."

As AI adoption continues to expand, ROONCYBER.AI remains focused on advancing runtime security capabilities that give organizations the visibility, context, and control required to protect modern AI workloads.

About ROONCYBER.AI

ROONCYBER.AI delivers Runtime AI Workload Security, helping organizations understand what AI is actually doing in production. Through continuous, kernel-level runtime visibility, the platform provides actionable context across workloads, applications, APIs, services, and AI activity, enabling security teams to prioritize threats, protect critical systems, and accelerate response and remediation.

Learn more at https://www.rooncyber.ai or email marketing@rooncyber.ai.