# SimSpace

> The AI Proving Grounds
> Last updated: 2026-10-21

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## Recent Content

- [Infographic: The State of Agentic Cybersecurity](https://simspace.com/infographics/state-of-agentic-cybersecurity/): The modern SOC is undergoing the most significant transformation in a generation. AI agents are no longer a “roadmap item”—they are embedded in your detection, response, and playbook execution. But as the line between human intuition and machine speed blurs, a critical question remains: Can you trust AI agents will perform as expected when faced […]
- [Your AI Passed the Demo. But Can It Survive Production?](https://simspace.com/videos-and-webinars/your-ai-passed-the-demo-but-can-it-survive-production/): AI agents are moving into production faster than organizations can prove they’re ready. Demos and benchmarks may show what an agent can do, but not how it will perform in real-world environments. Production environments are imperfect; can your AI agent stand up to the pressure of ever-evolving conditions? What happens when your AI agent makes […]
- [Preemptive Defense at Machine Speed: Validating an Early Warning Indicator for IoT Camera Exploitation on a Cyber Range](https://simspace.com/reports-and-white-papers/preemptive-defense-ewi-radar/): Nation-state adversaries are increasingly exploiting Internet-facing IoT edge devices as pre-kinetic sensors to conduct strategic reconnaissance, targeting correction, and post-strike battle damage assessment. Traditional reactive security architectures—reliant on static signatures and post-incident telemetry—fail to detect these subtle, out-of-band anomalies before physical or operational damage occurs. This technical white paper presents the architecture and empirical validation […]
- [Platform 6.40](https://simspace.com/release-notes/platform-6-40/): Portal new features and enhancements Portal fixes
- [Getting Mythos-Ready: Preparing AI Agents & Humans for Machine-Speed Threats](https://simspace.com/reports-and-white-papers/mythos-ready-agentic-soc/): Frontier AI models have permanently accelerated adversary campaign speeds, allowing attackers to discover zero-days and execute multi-stage living-off-the-land (LoTL) attack chains in seconds. While autonomous AI agents offer a path to surviving this machine-speed threat landscape, security leaders face critical operational bottlenecks—from 60% model error rates on complex reasoning tasks to severe “consent fatigue” caused […]

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