Discover why Gartner named SimSpace as a Sample Vendor for Multidomain Agentic Cyber Ranges, and learn how high-fidelity simulation environments enable organizations to safely validate, operationalize, and build autonomous AI agents.
As cloud, OT, IoT, and autonomous AI agents converge into a unified Global Attack Surface Grid (GASG), static perimeters and manual security controls create a severe latency tax. Modern adversaries now target model reasoning, decision flows, and physical interfaces alongside conventional software code.
To defend this expanded surface, organizations are deploying autonomous AI defender agents into their SOCs. Yet, testing AI agents on static datasets or in live production environments creates unacceptable risks of business downtime and policy failure.
Moving Beyond Static Sandboxes to Active Defense Engines: Why Multidomain Agentic Cyber Ranges Are Essential
In the report, Gartner explores Theme 1: Core Trust & Infrastructure, highlighting Multidomain Agentic Cyber Ranges as a pivotal emerging technology.
Gartner writes:
The impact of multidomain agentic cyber ranges is a revolutionary transformation rather than an incremental evolution. Vendors cannot just sell a software license; they must sell an “AI Proving Ground” that tangibly demonstrates that agents will respect boundaries, adhere to compliance protocols, and avoid failures when under attack.
What You’ll Learn Inside the Gartner® Report
The Evolution of the Global Attack Surface Grid
How cognitive subversion, cyberkinetic risks, and edge-based intelligence redefine modern enterprise security.
Analysis of Multidomain Agentic Cyber Ranges
Market maturity, range-to-adoption timelines, and why isolated digital twins serve as the proving ground for trusted AI agent decision-making.
Key Trends Across 15 Emerging Security Technologies
Detailed analysis across Core Trust & Infrastructure, Agentic Logic & Cognitive Workflows, and Kinetic Edge & Ambient Intelligence.
Actionable Recommendations for Product & Security Leaders
Concrete steps to build safe-to-fail execution environments, hardware-in-the-loop (HIL) testing, and human-AI collaborative workflows.
