CISO Tribune

Vendor comparison · 2 companies

Modelyo vs RAD Security

Modelyo sells a cryptographically isolated cloud environment in which customer data, applications, AI workloads and keys remain under customer control, even on infrastructure the customer does not own. RAD Security sells AI Workers that investigate, triage, and act on threats across a customer's entire stack. CISO Tribune files both under Cloud workload protection. This page sets the two records side by side: what each sells, where it is based, who owns and funds it, the customers it names and its recent news, each fact numbered to its source.

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  • Modelyo
  • RAD Security
Modelyo vs RAD Security: Products, Customers and Funding Compared
ModelyoModelyo sells a cryptographically isolated cloud environment in which customer data, applications, AI workloads and keys remain under customer control, even on infrastructure the customer does not own.modelyo.comRAD SecurityRAD Security sells AI Workers that investigate, triage, and act on threats across a customer's entire stack.radsecurity.ai
What it sells
  • Sovereign cloud[1][3][4]A cryptographically isolated cloud environment for customer data, applications, AI workloads and keys.
  • Confidential AI[1][4][6]Runs inference, agents and AI workloads inside hardware-protected environments, keeping sensitive data, models and weights under customer control.
  • RAD Bot[6][7][8][9]An AI agent with direct access to a customer's live environment data.
  • RADQL[9][10][11]A SQL-like query language built for security data.
  • AgentKeeper[2][14]An open-source tool that maps a cloud identity attack surface.
  • Evidence Room[12]Aggregates vulnerabilities, misconfigurations, runtime threats, and attack paths into one prioritized view.
  • AI Insights[13]Continuously analyzes a cloud-native environment and surfaces what matters most.
  • Explore[6][10]Asset discovery and investigation across a Kubernetes environment, powered by RAD Bot.
  • Dashboards[11]Pre-built and customizable dashboards powered by RADQL.
Categories
Headquarters
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Founded
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Ownership and funding
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Named customers
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Recent news
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G2 and Gartner Peer Insights
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
Who it fits
Modelyo describes these buyers as held back from the cloud by the question of who else can see the data. One kind of customer Modelyo describes is a regional bank that needed to run core transaction processing on public cloud infrastructure. Modelyo deploys across hyperscalers, neoclouds, sovereign clouds and on-prem environments.RAD Security says RADQL lets security teams explore, analyze, and visualize cloud security data. The Evidence Room is described for people who are triaging alerts, remediating issues, or preparing for an audit. RAD Security provides audit-ready compliance documentation for CIS, HIPAA, and NSA Hardening frameworks, among others, and a weekly summary for leadership.
Last verified
October 23, 2026October 21, 2026

Where they overlap

  • Modelyo and RAD Security are both filed under Cloud workload protection.

Where they differ, field by field

  • Modelyo's primary category is Cloud workload protection; RAD Security's is Cloud-native application protection (CNAPP).
  • Modelyo is also filed under Encryption, tokenization and key management. RAD Security is also filed under Cloud security posture management and Vulnerability management.
  • Modelyo lists Sovereign cloud and Confidential AI. RAD Security lists RAD Bot, RADQL, AgentKeeper, Evidence Room, AI Insights and 2 more.

What it sells: Modelyo

What Sovereign cloud does[1][3][4]
Kubernetes, databases, AI, storage and development tools inherit the same confidential protection from the moment they are deployed. Nodes, control plane, secrets, keys, storage and workloads operate inside the same confidential architecture. Modelyo deploys across hyperscalers, neoclouds, sovereign clouds and on-prem environments.
What Confidential AI does[1][4][6]
Data stays encrypted while at rest, in transit and while in use by AI. Each agent tool call and retrieval is checked against keys only the customer holds. Modelyo is built to support confidential AI infrastructure, from H100 and H200 through Blackwell and Vera Rubin.

What it sells: RAD Security

What RAD Bot does[6][7][8][9]
RAD Bot queries a customer's live environment, correlates the results, and delivers findings with full source attribution. RAD Bot connects to Jira, Slack, ServiceNow, and email so users can escalate, assign, and remediate without leaving the conversation. RAD Bot workflows run multi-step investigations automatically and deliver results to an inbox, Slack, email, or ticketing system.
What RADQL does[9][10][11]
RADQL is a SQL-like query language built for security data. RADQL searches containers, correlates vulnerabilities, analyzes runtime behavior, and investigates incidents. RAD Bot can generate RADQL queries from natural language descriptions. RADQL results can be exported to CSV or JSON.
What AgentKeeper does[2][14]
AgentKeeper is RAD Security's open-source tool that maps a cloud identity attack surface. AgentKeeper visualizes IAM permissions, detects over-privileged roles, and uncovers hidden access paths.
What Evidence Room does[12]
The Evidence Room aggregates vulnerabilities, misconfigurations, runtime threats, and attack paths into a single prioritized view. Findings in the Evidence Room are automatically mapped to compliance frameworks such as CIS, SOC 2, PCI-DSS, and NIST. Findings flow into existing tools so that users can create tickets, alert teams, and export to a SIEM.
What AI Insights does[13]
AI Insights continuously analyzes a cloud-native environment and surfaces what matters most. Every insight is categorized so that issues route to the right team with the right context. Rankings are based on exploitability, blast radius, business context, and attack path relevance.
What Explore does[6][10]
Explore is powered by RAD Bot and the same query engine behind every feature on the platform. RAD Security's sensors continuously discover and track every asset in a Kubernetes environment, including containers, images, workloads, network connections, and process executions.
What Dashboards does[11]
RAD Security dashboards visualize security posture, infrastructure, and compliance data with pre-built templates, flexible widgets, and real-time updates powered by RADQL. Dashboards pull from Kubernetes, cloud, runtime, and external integrations.

Questions about Modelyo and RAD Security

What do Modelyo and RAD Security sell?
Modelyo sells Sovereign cloud and Confidential AI. RAD Security sells RAD Bot, RADQL, AgentKeeper, Evidence Room, AI Insights and 2 more.
Are Modelyo and RAD Security in the same category?
They share Cloud workload protection. Modelyo's primary category is Cloud workload protection and RAD Security's is Cloud-native application protection (CNAPP).
Who are Modelyo and RAD Security sold to?
Modelyo describes these buyers as held back from the cloud by the question of who else can see the data. RAD Security says RADQL lets security teams explore, analyze, and visualize cloud security data.

About Modelyo

Modelyo sells a cryptographically isolated cloud environment in which customer data, applications, AI workloads and keys remain under customer control, even on infrastructure the customer does not own. Modelyo provides a mesh of confidential managed services that inherit the same security and trust architecture from the start. Modelyo is a confidential layer that runs on the cloud customers already use.[1][3][4][5]

Modelyo creates a hardware-rooted trust layer that keeps workloads isolated from infrastructure operators and Modelyo itself. Neither the cloud provider nor Modelyo can see inside the infrastructure that runs a customer's workloads. Modelyo isolates infrastructure and workloads from the cloud provider and verifies them cryptographically before they are trusted. Modelyo continuously verifies infrastructure and workloads against trusted policies, and changes in integrity or trust state are detected and handled automatically. Modelyo checks each workload every 60 seconds and moves it automatically if anything looks off. Intel SGX, TDX and NVIDIA H100 are used so that Modelyo operators cannot access customer data.[1][3][4][5]

Modelyo ties access to sensitive data and services to verified environments, so neither the cloud provider nor Modelyo becomes part of the customer's trust model. Modelyo keeps data protected at rest, in transit, and while it is being processed. Modelyo produces cryptographic proof and audit evidence of exactly what ran and on what data. Enterprise customers of Modelyo get a named technical contact and 24/7 support for production issues.[3][5][6]

Kubernetes, databases, storage, networking, and managed services operate together within the same confidential trust architecture at Modelyo. Kubernetes, databases, AI, storage, and development tools all inherit the same confidential protection from the moment they are deployed. Nodes, control plane, secrets, keys, storage, and workloads operate inside the same confidential architecture. Teams deploy pods, services, and workloads on Modelyo using the Kubernetes tools and workflows they already use. Modelyo delivers familiar databases, messaging, search, APIs, and developer services as confidential managed services. Customers can launch PostgreSQL, MySQL, MongoDB, and Redis on Modelyo with compute, storage, networking, and keys protected as one environment. Modelyo also lists Kafka, RabbitMQ, Elasticsearch, API gateways, container registries, and observability tools among the services deployed inside the confidential workspace.[3][4]

Modelyo supports data environments with object storage, Apache Spark, Hadoop, Kafka, and supporting services integrated inside the same confidential architecture. On Modelyo, customers hold the keys to S3-compatible object storage, shared file stores over NFS, persistent Kubernetes volumes, and encrypted backups.[3]

Modelyo runs inference, agents, and AI workloads inside hardware-protected environments while keeping sensitive data, models, and weights under customer control. Modelyo runs inference, RAG, vector databases, data processing, and AI applications while keeping sensitive data protected during processing. For agents, Modelyo keeps prompts, memory, and reasoning traces sealed even during active use. Modelyo checks each agent tool call and retrieval against keys only the customer holds. Modelyo checks each RAG lookup against the customer's keys, the same as every model call. Modelyo traces every answer to the model and dataset that produced it.[3][4][6]

Modelyo deploys across hyperscalers, neoclouds, sovereign clouds, and on-prem environments across Intel, AMD, Arm, and NVIDIA architectures. Modelyo is built to support confidential AI infrastructure, from H100 and H200 through Blackwell and Vera Rubin, including Arm CCA-based environments. Modelyo provisions the confidential hardware from the cloud provider's own fleet. Customers deploy Modelyo with the Kubernetes tools and workflows their teams already use, and connect their identity provider and existing tools. Modelyo deployments start with a technical deep dive and a guided first workload. Because Modelyo runs across hyperscalers, neoclouds and on-prem environments, the same confidential environment can be deployed in more than one place for resilience.[1][3][4][5]

Modelyo describes customer stories of regulated enterprises, government, and defence teams running sensitive workloads on Modelyo. In one story, a regional bank needed to run core transaction processing on public cloud infrastructure, but internal compliance and its regulator required on-prem-level data control. At that bank, Kubernetes, the transaction database, and the analytics pipeline all moved inside a single hardware-enforced perimeter, with encryption keys held exclusively by the bank's own HSM. In another story, a government department needed the compute of a public cloud for a classified analytics programme. That programme was deployed inside a Modelyo confidential environment spanning two cloud regions. In a third story, a healthcare provider wanted to run AI models over patient records, but the models lived with a third-party vendor. In that story, inference runs on confidential H100 compute inside a Modelyo environment.[1][2][3][5][6][7][10]

Modelyo on the record

Sources

Modelyo full record

  1. [1]modelyo.comModelyo · modelyo.com · undated page, accessed October 23, 2026 · Tier A
  2. [2]PrivacyModelyo · modelyo.com · published September 24, 2026 · Tier A
  3. [3]Cloud — ModelyoModelyo · undated page, accessed November 10, 2026 · Tier A
  4. [4]Modelyo — Trust engineered into the cloud you already useModelyo · undated page, accessed November 10, 2026 · Tier A
  5. [5]What we do — ModelyoModelyo · undated page, accessed November 10, 2026 · Tier A
  6. [6]Confidential AI — ModelyoModelyo · undated page, accessed November 10, 2026 · Tier A
  7. [7]Customer stories — ModelyoModelyo · undated page, accessed November 10, 2026 · Tier A
  8. [8]How a regulated bank moved core workloads to the cloud without moving risk — ModelyoModelyo · undated page, accessed November 10, 2026 · Tier A
  9. [9]Processing classified data on public cloud infrastructure, provably — ModelyoModelyo · undated page, accessed November 10, 2026 · Tier A
  10. [10]Confidential AI inference on patient data, without a single plaintext copy — ModelyoModelyo · undated page, accessed November 10, 2026 · Tier A

RAD Security full record

  1. [1]Female foundersRAD Security · radsecurity.ai · published April 29, 2024 · Tier A
  2. [2]radsecurity.aiRAD Security · radsecurity.ai · undated page, accessed October 21, 2026 · Tier A
  3. [3]PressRAD Security · radsecurity.ai · undated page, accessed October 21, 2026 · Tier A
  4. [4]AI-Native Cloud Security Platform | RAD Security | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  5. [5]Stop Managing Alerts. Start Running Security. | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  6. [6]Explore — Asset Discovery & Investigation | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  7. [7]Ask RAD — AI Security Assistant | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  8. [8]Knowledge Base — Searchable Security Knowledge | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  9. [9]RADQL — Security Query Language | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  10. [10]RADQL Engine — Advanced Security Analytics | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  11. [11]Security Dashboards — Real-Time Visibility | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  12. [12]Evidence Room — Unified Security Findings | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  13. [13]AI Insights — Prioritized Security Intelligence | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A
  14. [14]Exports | RAD Security | RAD SecurityRAD Security · undated page, accessed November 10, 2026 · Tier A

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