AI Validation Range: Live-Fire Testing and Benchmarking for AI Models and Agents
Cloud Range's AI Validation Range addresses a question security leaders increasingly face: how to prove an AI model or agent is safe and effective before it touches production systems. The offering is a live-fire enterprise environment — realistic infrastructure, security tooling, and simulated attacks — where organizations can test AI models, train agentic AI, validate performance and readiness, and benchmark AI directly against human defenders on identical scenarios, both before deployment and on an ongoing basis afterward.
AI systems connect to the range over a secure API and operate against enterprise-grade telemetry and live attack paths. Use cases span red-teaming models for hallucinations, unsafe outputs, and policy failures; probing for data leakage such as PII exposure; validating anomaly-detection and triage logic to reduce false positives; and comparing performance across models, agents, and human teams. Organizations can ingest their own network-traffic baselines (PCAPs) for added realism, and the range itself is deliberately not AI-powered, which the company positions as a defensible, deterministic baseline for measurement. Cloud Range packages this guidance in its PROVE AI Readiness Framework, published in its ebook on cyber readiness for agentic AI. The intended audience includes CISOs and chief AI officers bringing AI into security operations, as well as AI research teams studying model behavior under adversarial conditions.
The AI Validation Range is built on the broader Cloud Range platform, in operation since 2018 for human cyber readiness. Range365 environments span IT, OT/ICS, cloud, and hybrid infrastructure; FlexRange live-fire exercises are run by facilitators the company calls Attackmasters; and the catalog extends to FlexLabs (1,500+ hands-on labs), Tabletop 2.0 executive exercises, and RightTrak aptitude assessments. A Performance Portal tracks readiness over time and maps observed performance — human or AI — to the MITRE ATT&CK taxonomy, with the positioning resting on measurable readiness metrics rather than course-completion certificates.