RAD Security protects Kubernetes, cloud and AI workloads by learning how they normally behave and acting when something changes. It is aimed at security operations teams that are buried in alerts from many separate tools and need to know which ones matter.
Its RAD FusionAI platform links related detections from across the security stack into a single chain of evidence, so analysts can investigate one incident instead of a dozen disconnected alerts.
At A Glance
| Vendor | RAD Security |
|---|---|
| Category | Cloud detection and response, workload and identity threat detection, agentic AI security operations |
| Identities covered | Identities and unauthorised access across cloud and AI workloads, Kubernetes workloads |
| Deployment | Cloud-native platform with sensors on Kubernetes clusters |
| Founded | 2021 |
| Funding | Series A (February 2025), led by Cheyenne Ventures |
| Market classification | Workload Identity; also NHI Platforms & Machine Identity |
What RAD Security Does
The company grew out of cloud detection and response built on behavioural workload fingerprinting: the platform records a baseline for each workload and raises an alert on any deviation, an approach RAD extends to AI systems from infrastructure up to the models themselves. On top of that detection data sits an agentic layer that reasons across findings from many tools. Every decision is meant to be traceable back to the evidence behind it, so analysts can check the reasoning rather than take it on trust.
Products
RAD FusionAI
FusionAI is the platform that connects the stack. It takes in data from tools such as Wiz, Okta, Qualys and AWS, tags every record with where it came from, and keeps evidence intact as a first-class object rather than a log line that ages out. It runs on a unified security data layer, with RADQL acting as the reasoning and orchestration layer. For teams running many point products, it gives one place to work across all of them.
Evidence Room
When one incident shows up as separate alerts in several tools, the Evidence Room joins them up. It maps detections to the users and controls involved and lays out the chain from cause to outcome, which shortens the work of building an incident timeline.
RADBot
RADBot answers investigation questions in natural language. Each answer links to the evidence it relies on.
AI Workers
AI Workers are autonomous components, each focused on one job such as blast radius tracing, vulnerability prioritisation or compliance reporting. They hand their results to Jira and Slack, so findings land where teams already work.
Cloud Detection And Response
The detection layer watches behaviour across clusters in hybrid cloud environments. When a workload or configuration looks suspicious, it alerts the customer and can quarantine or remove it automatically. It also covers Kubernetes security posture management and software supply chain security.
How It Works
RAD Security runs as a cloud-native service. Customers deploy RAD sensors on their Kubernetes clusters to stream runtime behaviour into the platform, then add connectors for cloud, SIEM, EDR, ticketing and IAM sources in the dashboard. Only once that data is flowing are the AI agents switched on, so they work from the customer’s own telemetry rather than generic data. Sensors supply runtime behaviour, connectors supply findings from other tools, and the agents reason over the combined record from every connected tool.
Identities And Systems Covered
| Cloud and AI workload identities | Detection of identities and unauthorised access across cloud and AI workloads |
|---|---|
| Kubernetes | Clusters, containers and serverless functions |
| Workforce identity data | Okta |
| Cloud platforms | AWS, Azure, GCP and Linode |
Company Background
| Founded | 2021 |
|---|---|
| Leadership | Brooke Motta, co-founder and CEO |
| Funding | A $14 million Series A in February 2025, joined by Forgepoint Capital, Lytical Ventures and Akamai, alongside existing investors .406 Ventures, Vertex Ventures and Gula Tech Adventures |
Note: This overview is compiled from RAD Security’s publicly available information as of 3 November 2026. It is provided for information only. NHI Mgmt Group does not endorse any vendor, and nothing on this page represents the opinions of NHI Mgmt Group.