Cloud security has changed quickly over the last few years. Companies are no longer running simple applications on a few servers. They are building across containers, Kubernetes clusters, cloud services, identities, APIs, and fast-moving development pipelines. That shift has created a new kind of security problem. The environment changes by the hour, but many security tools still depend on known attack patterns, delayed alerts, or static rules.
That is the problem Brooke Motta is working to solve through RAD Security.
As the CEO and co-founder of RAD Security, Brooke Motta is helping shape a more real-time approach to cloud-native security. Instead of focusing only on old signatures or after-the-fact alerts, the company is built around behavior, context, and live visibility. Its goal is simple to understand but difficult to execute: help security teams know what is normal inside their cloud environments so they can spot risky changes before they turn into serious incidents.
For modern enterprises, that kind of protection is becoming more important every year. Kubernetes adoption is growing, AI workloads are spreading, and cloud infrastructure is becoming harder to monitor with traditional tools. Brooke Motta has positioned RAD Security around that reality, building a company focused on how cloud-native systems actually behave in real time.
Who is Brooke Motta
Brooke Motta is a cybersecurity executive, founder, and go-to-market leader with years of experience helping security companies grow. Before leading RAD Security, she held senior roles at companies such as Rapid7, Sonatype, Wallarm, and Bugcrowd. That background matters because RAD Security is not just a technical product story. It is also a market story.
Cloud security teams are under pressure. They have to protect complex infrastructure, respond to threats faster, manage compliance expectations, and avoid slowing down developers. A founder building in this space needs to understand not only the technology, but also the way security teams buy, deploy, and rely on security products.
That is where Brooke Motta’s experience becomes valuable. She has worked across security categories where trust, speed, and clarity matter. Her leadership style appears closely tied to a practical view of cybersecurity: security tools should help teams make better decisions, not bury them under more noise.
At RAD Security, that shows up in the company’s focus on detection that is tied to real behavior inside cloud-native environments. The product direction is less about adding another dashboard and more about helping teams understand what is actually happening across Kubernetes, workloads, identities, and infrastructure.
What RAD Security is building for cloud-native security
RAD Security is a cloud-native security company focused on behavioral detection and response. The company was previously known as KSOC, a name tied closely to Kubernetes Security Operations Center. In 2024, KSOC evolved into RAD Security to reflect a broader mission beyond Kubernetes security alone.
That shift is important. Kubernetes is still a major part of the story, but cloud-native risk now reaches across many connected layers. A security issue may begin with a misconfigured workload, an unusual identity action, a risky permission, a strange runtime behavior, or an unexpected change in infrastructure. Looking at only one piece of the system is no longer enough.
RAD Security aims to give security teams a more connected view. It focuses on cloud-native detection and response, Kubernetes security, identity context, runtime visibility, and behavior-based protection. The platform is built to help teams identify what is normal in their own environment, then detect drift or suspicious activity when something changes.
That approach fits the way modern cloud systems work. Cloud-native infrastructure is dynamic. New containers spin up. Workloads move. Permissions change. Services talk to each other constantly. Developers ship updates quickly. In that kind of environment, security teams need more than a snapshot. They need live context.
Why real-time protection matters in Kubernetes environments
Kubernetes has become one of the main engines behind modern software delivery. It helps companies run containerized applications at scale, manage workloads, and support fast deployment cycles. But the same flexibility that makes Kubernetes powerful also makes it difficult to secure.
A Kubernetes environment can involve clusters, pods, containers, service accounts, secrets, APIs, role-based access controls, and multiple cloud services. Each part creates its own security questions. Who has access? Which workloads are running? What changed since the last deployment? Is a container behaving the way it normally does? Is a service account being used in an unusual way?
Traditional security tools often struggle here because they were not designed for systems that change this quickly. A signature-based tool can detect a known attack pattern, but it may miss something new. A posture tool can show a configuration problem, but it may not explain whether that issue is being exploited right now. A log-based workflow can help after an incident, but it may not give teams the real-time clarity they need during the attack.
This is why Brooke Motta and RAD Security are focused on real-time cloud-native protection. The faster an environment changes, the more important live behavior becomes. Security teams need to know when a workload, identity, or infrastructure component starts acting differently from its approved baseline.
How behavioral detection makes RAD Security different
A major part of RAD Security’s approach is behavioral detection. In plain language, this means the platform looks at how a cloud-native environment normally behaves and uses that understanding to spot suspicious changes.
This is different from a security model that only waits for known bad indicators. In cloud-native systems, a new attack may not look like something security teams have seen before. It may involve a small permission change, an unusual API call, an unexpected workload behavior, or a strange relationship between identity and infrastructure activity.
Behavioral detection gives teams another way to see risk. If a workload usually communicates with a limited set of services and suddenly begins acting outside that pattern, that change matters. If a service account is used in a way that does not match normal activity, that matters too. If infrastructure behavior drifts from the expected state, the security team should know quickly.
RAD Security describes this through the idea of behavioral fingerprints. These fingerprints help define normal behavior for workloads and environments. When something drifts from that expected behavior, the platform can surface it with context.
That context is important because security teams already receive too many alerts. A useful detection system should not simply create more noise. It should help teams understand what changed, why it might matter, and where to focus first.
Brooke Motta’s role in shaping RAD Security’s mission
The success of RAD Security depends on more than technical depth. It also depends on turning a complex security problem into a product that teams can understand and use. That is a big part of Brooke Motta’s role as CEO.
Her background in scaling cybersecurity companies gives her a clear view of what enterprise buyers need. Security leaders are not looking for another tool that adds work. They want products that reduce uncertainty, improve visibility, and help their teams respond faster.
By positioning RAD Security around behavioral cloud-native detection and response, Brooke Motta is helping move the conversation away from narrow security categories. Instead of treating posture, runtime, identity, and detection as separate islands, RAD Security’s approach brings them closer together.
That is useful because real attacks do not respect product categories. A cloud incident may involve identity misuse, workload changes, privilege issues, and runtime activity at the same time. Security teams need a way to connect those signals without spending hours manually piecing everything together.
This is where the company’s founder-led focus becomes meaningful. Brooke Motta is not just promoting cloud security as a broad trend. She is building around a specific pain point: modern cloud environments need detection that understands their behavior in real time.
Why cloud-native identity and runtime context matter
One of the biggest shifts in cloud security is the growing importance of identity. In older environments, security often centered heavily on networks, servers, and endpoints. In cloud-native systems, identity can be just as important as infrastructure.
Service accounts, machine identities, user permissions, and access roles can all become part of an attack path. If an identity has too much permission, or if it is used in an unusual way, attackers may be able to move through an environment without triggering obvious alarms.
That is why identity context matters for companies using Kubernetes and cloud-native infrastructure. Security teams need to understand not just what is happening, but who or what is doing it. They need to see whether an action matches normal behavior, whether the identity has risky privileges, and whether a workload is acting outside its usual pattern.
Runtime context is equally important. Pre-deployment checks can catch some issues before code goes live, but not everything can be solved before runtime. Once workloads are active, security teams need visibility into real behavior. They need to know whether containers, processes, APIs, and services are behaving as expected.
RAD Security connects these ideas by focusing on behavior, identity, and infrastructure together. That kind of combined view can help teams move faster during an investigation. Instead of staring at disconnected alerts, they can look at the relationships between workload behavior, access patterns, and infrastructure changes.
How RAD Security is preparing companies for AI-era security risks
AI is adding another layer of complexity to cloud security. Companies are experimenting with AI tools, building AI-powered features, and connecting AI systems to internal data and cloud infrastructure. That creates new questions for security teams.
Where are AI workloads running? What data can they access? Which identities are involved? Are teams using approved tools or shadow AI systems? Are new services being introduced without the right security visibility?
These questions fit naturally into the type of problem RAD Security is trying to solve. AI does not remove the need for cloud security. It makes real-time visibility even more important. As more workloads become automated, agentic, or connected to sensitive systems, teams need a clearer understanding of normal and abnormal behavior.
Brooke Motta has spoken about the importance of visibility in cloud and AI security. That theme lines up with RAD Security’s broader direction. The company is not only focused on where cloud security has been. It is also building for where enterprise infrastructure is going.
In the AI era, static security models may become less effective. New tools, new behaviors, and new attack paths can appear quickly. A behavior-first approach gives security teams a better chance of catching unknown or unusual activity without waiting for a known signature.
What RAD Security’s growth says about the future of cloud defense
RAD Security’s growth shows that cloud-native security is moving into a more mature stage. Early cloud security conversations often focused on visibility and posture. Those are still important, but companies now need more active detection and response.
The company’s Series A funding reflects that market demand. Funding alone does not guarantee success, but it does show investor confidence in the problem RAD Security is solving. Enterprises are dealing with bigger Kubernetes deployments, more complex cloud environments, and faster software delivery cycles. The need for real-time cloud-native defense is becoming harder to ignore.
For security leaders, this shift is practical. They need to know which risks matter now, not just which configurations might become risky someday. They need fewer false positives, better investigation paths, and stronger context across cloud workloads and identities.
That is the space Brooke Motta is building into. RAD Security is not trying to make cloud-native systems less dynamic. Instead, it is trying to help security teams operate with the same speed and clarity as the environments they protect.
Why Brooke Motta’s work matters for modern security teams
The story of Brooke Motta and RAD Security matters because it sits at the center of a real change in cybersecurity. Companies are building faster than ever, but security teams still need control. Developers want speed. CISOs want visibility. Security engineers want fewer noisy alerts and better context. Cloud architects want tools that understand how modern infrastructure actually works.
That is a difficult balance to strike.
Brooke Motta is building RAD Security around the idea that cloud-native defense should be behavior-aware, real-time, and connected across the environment. That means understanding workloads, identities, infrastructure, and runtime activity as part of one security picture.
For enterprises running Kubernetes and cloud-native systems, this kind of approach can help close the gap between speed and protection. It gives teams a way to detect unusual activity faster, investigate with better context, and respond before small changes become major incidents.
In a market full of security noise, RAD Security stands out because its message is tied to a clear operational need. Modern cloud systems move in real time. Security has to move that way too.
