SimSpace Introduces Preemptive Capability Built on Active Nation-State Threat Intelligence
Early Warning Indicator Radar enables operational technology defenders to develop and validate emerging defenses against real-world adversarial behavior before production systems are at risk
Attackers have always held the first-mover advantage, and AI is widening that gap by making new attack variations faster and easier to launch. Security teams and their AI agents traditionally have trained on historical data from recent attacks. Preparing for the next attack based on what's occurred leaves even the most well-resourced organizations vulnerable to increasingly common autonomous AI attacks that adapt on the fly and have no historical precedent or data for defenders to train on.
EWI Radar equips defenders to shift from reactive defense, focused on rapid detection and response, and move beyond predictive defense, which also relies on historical data, toward preemptive security. Instead of waiting for a real-world attack to generate incident data to train defenses, organizations can preempt the next AI-fueled attack by relying on SimSpace to generate hyper-synthetic data in a realistic replica of their production environment, building and validating new defenses before operationalizing them in production.
"Cyber defenders need the ability to move quickly with confidence that a new defense will be effective before their environment is under attack," said
EWI Radar Helps OT Teams Test New Defenses Before an Attack
An EWI Radar within the
This is especially valuable in OT, where an untested security control can disrupt operations and potentially have catastrophic consequences. Testing first against realistic attack, infrastructure, traffic, and device conditions gives security and operations teams room to try new approaches without putting critical systems at risk.
SimSpace hosted a threat webinar discussing how to validate IT/OT defenses using AI-powered simulations. Watch the recording here.
SimSpace Recreates a Live Nation-State Campaign to Validate Defenses
To show how this works, SimSpace recreated an
In its own research, the SimSpace team built a 12-device simulated camera fleet on real, multi-homed cyber range hardware, with authentic firmware interfaces and real per-device TLS. The range first generated normal device activity to establish a behavioral baseline, then launched a live, five-phase adversary campaign built from disclosed exploit structures associated with all five vulnerabilities identified in the real-world campaign. Against that campaign, SimSpace tested a behavioral detection approach that pairs an unsupervised
During range validation, EWI Radar recorded zero idle false positives across a 72-combination calibration grid. In the live simulated campaign, 100% of alerts were independently confirmed by both the machine-learning detector and the latency-ratio backstop, and every alert retained attacker-source attribution. Each alert identified the affected device, the mapped vulnerability pattern, source information, the detection mechanism, and the reasoning behind the classification.
Hyper-Synthetic Data is Driving the Shift to Preemptive Security
The results reflect a broader industry shift from reactive to preemptive security, made possible with hyper-synthetic data. Gartner sees this kind of simulation-driven work becoming central to the industry. Its
About SimSpace
SimSpace provides the high-fidelity cyber simulation infrastructure required to continuously train, test, and validate AI agents. By integrating AI agents with human operators inside a realistic cyber range, SimSpace serves as the AI Proving Grounds for elite cyber teams. To discover how SimSpace enables teams to outsmart adversaries across any digital terrain, please visit: www.simspace.com.
Contact: Amy Rice, [email protected]
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SOURCE SimSpace Corporation
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