Cyber training specialist SimSpace has launched an expanded cyber range platform that it says addresses a widening gap in how organisations prepare for AI-driven attacks.
The Boston-based company is targeting security teams that face what it describes as a shift towards adaptive, AI-led threats. It is positioning its platform as a way to bring training, testing and validation into a single environment that mirrors production systems.
SimSpace said traditional cyber ranges have focused on individual operators and scripted exercises. It said this approach no longer reflects the demands of AI-intensive attacks that evolve during an incident and span multiple teams, tools and workflows.
"The old ways of training cyber operators simply can't keep pace with the demands of this continuously evolving AI-centric world," said Peter Lee, CEO of SimSpace. "Resilience now demands more than merely training individuals. It requires testing entire teams, systems, workflows, and AI models in environments that are realistic simulations of your actual production environment. That's exactly what our Cyber Range platform delivers. It gives every cyber operator, team, and agent a safe place to push their limits, uncover blind spots, adapt, and ultimately prove they're ready for what's coming. In our rapidly evolving world, proven beats promised every time."
The company said its Cyber Range Platform uses adversary simulations that attempt to mirror real attack behaviour. It said it combines these with measurements of defensive performance so that exercises function as full mission rehearsals rather than standalone drills.
SimSpace said its platform is already in use with customers including US Cyber Command. It said users fold range-based exercises into a regular training rhythm for security operations, incident response and AI-driven defence tooling.
AI-focused training
The latest version of the platform adds specific functions for AI model training and testing. SimSpace said it can generate large volumes of labelled telemetry from a virtual environment that reflects the scale and complexity of enterprise networks.
The company said this data stream supports the training of AI models and autonomous security operations modules. It said customers can connect their existing tools, third-party sensors and data flows into the range instance. The underlying environment aims to replicate production conditions rather than rely on synthetic or simplified traffic.
SimSpace said this approach creates an AI development cycle that sits within a production-like context. It said this reduces the risk of hallucinations, brittle logic and automation that has not been tested under realistic attack conditions.
From drills to rehearsal
The company is also targeting compliance-driven security programmes. It said many organisations still rely on periodic checklists, classroom courses and limited-scope exercises that do not reflect sustained pressure from real attackers.
SimSpace said its platform lets organisations run ongoing mission rehearsals that exercise people, processes, tools and AI systems together. It said the system evaluates actual performance during scenarios rather than counting course completions or static control checks.
The company said this produces objective evidence of how teams and technologies behave under stress. It said the data allows organisations to detect blind spots early and quantify readiness levels for executives and boards.
SimSpace positions its platform within a wider trend towards intelligent simulation in security engineering. Analyst firm Gartner has advised organisations to prioritise "intelligent simulation technologies to transform security into a forward-looking discipline. Executives can do this by deploying security platforms that use AI to build and test attack scenarios against a virtual replica of technology infrastructures."
Readiness under AI pressure
SimSpace said the growth of AI-driven threats is forcing security leaders to reassess how they test defences before incidents. It said the combination of realistic network replicas, advanced adversary simulations and integrated AI training allows organisations to examine both human and machine responses across complete attack chains.
The company's offering sits alongside a broader push in the security sector for "active defence" postures. Vendors in this area promote continuous validation of security controls and workflows rather than passive monitoring and periodic audits.
SimSpace said it will continue to develop its cyber range platform for elite teams operating in what it describes as an "AI-fuelled threat landscape". It plans further work on scenarios, telemetry generation and assessment methods for both human operators and AI agents.