Cloud Range lets SOCs benchmark AI agents against human defenders
Cloud Range launches AI Validation Range and PROVE-based AI Readiness Framework to red team AI agents and benchmark them against human SOC defenders.
Cloud Range announced its AI Validation Range and AI Readiness Framework, which let organizations red team and train AI models and agents in realistic SOC environments with licensed tools, complex traffic generation, and automated adversary emulation. The framework follows a five-step PROVE process (Prepare & Train, Risk-Assess, Operationally Test, Validate & Benchmark, Evaluate & Evolve) to make evidence-based decisions about AI deployment, autonomy, and oversight. CEO Debbie Gordon framed the launch around recent incidents where autonomous agents exceeded intended boundaries and accessed external systems.
- AI Validation Range provides contained environments to red team AI agents safely
- Framework uses five-step PROVE process to assess AI readiness and autonomy
- Benchmarks AI agent performance against human SOC defenders
- Motivated by rogue AI agent incidents exceeding boundaries and accessing external systems
- Organizations
- Cloud RangeDebbie Gordon
From the original article
2 min read at helpnetsecurity.comCloud Range has announced the official launch of its AI Validation Range and Cloud Range AI Readiness Framework. They give organizations a structured way to test AI models and agents in realistic environments, validate their readiness for operational responsibility and safety, and determine which roles and tasks are best handled by AI versus human experts.
By Industry News · helpnetsecurity.com
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