AI Validation Range™
Test AI models, train AI agents, and measure human vs. AI performance.
Cloud Range gives CISOs, CAIOs, CIOs, and other security leaders adopting, deploying, and securing AI a controlled environment to evaluate AI behavior with confidence, before it influences real systems.
Your AI Has Control of Your Systems. What If It’s Poorly Trained?
AI, especially off-the-shelf AI, can:
Expose sensitive data through unsafe or unintended outputs
Act on incomplete or misleading context
Execute actions beyond intended guardrails
Hallucinate with high confidence
Perform differently in production than in controlled demos
The OWASP Top 10 for Large Language Model Applications 2025 identified prompt injection vulnerabilities, data leakage, insecure output handling, and excessive agency as leading risks in AI systems.
These are not theoretical issues. They are design and deployment realities.
If AI models and agents are integrated into your SOC, cloud workflows, or enterprise systems, they should be tested and trained like any other critical technology.
Real infrastructure. Real attacker behavior. Safe conditions.
AI accelerates security, but it doesn’t change the fundamentals. Threat actors still exploit weak configurations, incomplete signals, and human blind spots. Cloud Range’s AI Validation Range is a controlled cyber range that mirrors enterprise reality, enabling AI systems to be examined under pressure in real conditions — before anything touches production.
Supporting organizations at every stage of their AI journey — from early pilots to AI-first operations.
With AI Validation Range, organizations can:
Red team AI models to probe hallucinations, unsafe outputs, and policy failures
Test for sensitive data leakage, including PII and restricted answers
Train and assess AI agents using realistic attack paths and security controls
Detect anomalous behavior and validate possible exposures with attacker-driven scenarios
Reduce false positives by validating triage and decision logic
Evaluate reliability when signals are incomplete, adversarial, or contradictory
Compare performance across models, agents, and human teams using the same scenarios
AI Research & Adversary Lab
Find out what your model does under pressure
Designed for AI research teams and security leaders examining how models behave when exposed to real adversarial inputs, uncertainty, and unintended behavior.
Agentic AI Training Range
Train agents on real systems — not toy datasets
Built for security teams integrating agentic AI into SOC, cyber defense, or offensive security workflows and observing how those agents behave when connected to live infrastructure.
AI Model Validation Range
Evaluate and prove the model is safe enough to trust
Used by organizations responsible for deploying AI into security operations to establish confidence in model behavior before it influences real decisions or actions.
Train Your AI — and Your Team — Together
As organizations introduce AI into security operations, success depends on more than model performance. Teams need to understand how AI behaves, how to supervise it, and how to secure it.
Cloud Range enables organizations to train AI agents and security teams on the same simulation under identical conditions, allowing direct performance comparisons. This allows AI to be developed and applied deliberately as a force multiplier to augment detection, triage, and response, while making it clear where human judgment and oversight remain essential.
Security teams also gain a safe place to learn how to implement, manage, monitor, and secure AI systems without experimenting in production environments or exposing real data.
Built on Cloud Range’s industry-leading cyber range.
Designed for repeatability.
Cloud Range is an enterprise cyber range environment that replicates complex networks, IT and cyber-physical systems, and security conditions. Organizations use the award-winning platform to connect models, agents, and tools to test behaviors, observe actions, and compare results.
Mirror enterprise conditions with configurable infrastructure and security controls
Execute realistic attack simulations to create consistent, comparable test conditions
Measure outcomes across models, agents, and human teams over time
Cloud Range understands that AI changes how security work gets done, but it doesn’t change accountability.
Models are tested.
Agents are trained.
Humans are responsible for both.
Ensure your AI behavior is proven — not assumed.
Request a Demo
Tell us what you’re building and what you want to assess. We’ll show how teams use Cloud Range’s AI Validation Range to test models, train agents, and measure outcomes in a controlled environment.