Cyber Ranges for AI Security and Validation
Train and validate AI behavior safely, before it influences real systems.
Cloud Range gives organizations adopting, deploying, and securing AI a controlled environment to test models, train agents, and measure human vs. AI performance — before anything touches production.
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 provides a controlled cyber range that mirrors enterprise reality, so models and agents can be examined under pressure — including red-team testing of AI models — without risking production systems.
Supporting organizations at every stage of their AI journey — from early pilots to AI-first operations.
Run repeatable scenarios using attacker-based simulations
Toggle vulnerabilities, defenses, data conditions, and uncertainty
Compare performance across models, agents, and humans in the same environment
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 misuse risk.
Probe for hallucinations, unsafe outputs, and policy failures
Test for sensitive data leakage, including PII and restricted answers
Repeat evaluations as models, prompts, and configurations evolve
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.
Detect anomalous behavior in realistic attacker-driven scenarios
Reduce false positives by validating triage and decision logic under pressure
Assess what happens when agents move from advising to acting
AI Model Validation Range
Prove the model is safe enough to trust
For organizations responsible for deploying AI into security operations and ensuring models behave reliably before influencing real-world decisions. Evaluate how it behaves when signals are incomplete, adversarial, or contradictory.
Validate reliability in messy, incomplete, real-world conditions
Identify failure modes early (reasoning, retrieval, guardrails, escalation)
Establish a repeatable validation cycle for new releases
Built on Cloud Range’s industry-leading cyber range.
Designed for repeatability.
Cloud Range is an enterprise cyber range environment that replicates real networks, systems, and security conditions. Organizations use the award-winning platform to connect models, agents, and tools into a safe environment where behavior can be tested, actions can be observed, and outcomes can be measured — before anything reaches production.
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 to test models, train agents, and measure outcomes in a controlled environment.