United States Space Force's (USSF)
Integrating of Wallaroo, Equitus.us, and Teleseer into the Operational Test and Training Infrastructure (OTTI), these two SYDs, along with their partnered Mission Deltas, can create a powerful system to address the entire data-to-decision cycle for their respective missions.
Pilot Integration - integrated for SYD 84 and SYD 810's missions, following the phases of the data-to-decision cycle:
__________________________________________________________________________
Phase 1: Data Collection & Network Analysis (Teleseer's Role)
For SYD 84 (Missile Warning and Tracking):
OTTI Scenario: A training squadron under Space Operations Command's (SpOC) Mission Delta 4 (MD4) conducts an exercise simulating a hypersonic missile attack on a key target.
Teleseer's Function: Teleseer would be deployed in the OTTI's cyber range, which would be a digital twin of the ground control network for the Overhead Persistent Infrared (OPIR) satellites and Ground-Based Radars (GBRs) that SYD 84 delivers.
Data Collection: Teleseer would passively analyze all network traffic within this simulated environment. It would identify and map all connected devices—satellites, ground terminals, command and control systems—and establish a baseline of normal network behavior.
Initial Analysis: As the simulated attack unfolds, Teleseer's anomaly detection would flag unusual traffic patterns, such as a surge in data from a sensor node or a malicious command being sent to a satellite bus. This provides the raw, foundational layer of what is happening on the network.
For SYD 810 (Space-Based Sensing and Targeting):
OTTI Scenario: A training squadron under a different Mission Delta (potentially MD2) conducts an exercise focusing on space domain awareness and targeting. The scenario involves tracking a new satellite from a peer competitor and using it for targeting.
Teleseer's Function: Teleseer is integrated into the OTTI's synthetic environment, which includes virtualized sensors and ground stations.
Data Collection: Teleseer monitors the network traffic between these virtual sensors and their analysis and control systems. It would collect data on sensor commands, data downlinks, and any cyber-reconnaissance attempts by a simulated adversary.
Initial Analysis: It would quickly identify network probes or unexpected data flows that indicate an adversary is attempting to spoof a sensor or exfiltrate targeting data.
Phase 2: Intelligence Fusion & Contextualization (Equitus.us's Role)
The raw network data from Teleseer is critical but lacks context. This is where Equitus.us shines, acting as the intelligence fusion engine for both SYDs' mission areas.
Equitus's Function: The data flagged by Teleseer is automatically ingested into the Equitus knowledge graph.
Fusion for SYD 84: Equitus would link the network anomalies with other intelligence sources. For example, it might correlate a specific IP address identified by Teleseer with a known state-sponsored hacking group from a classified intelligence feed. It could also fuse the network data with open-source information about the adversary's past TTPs (Tactics, Techniques, and Procedures) or public reports about their new missile capabilities.
Output for SYD 84: This fusion process would create a rich, contextualized understanding of the threat. Instead of just "a network anomaly," the Guardians would see "Network traffic from known adversary Group X, attempting to spoof telemetry data on the OPIR satellite network, consistent with their previous attacks on satellite ground stations."
Fusion for SYD 810: Equitus would take the network probes and data anomalies from Teleseer and fuse them with other intelligence. For instance, it could correlate a sensor-spoofing attempt with geospatial intelligence (GEOINT) of a physical asset moving on the ground, or with a piece of SIGINT (Signals Intelligence) indicating an adversary is preparing for an electronic attack.
Output for SYD 810: This fusion would transform isolated events into a coherent intelligence picture. The Guardians would see not just a network attack but a "multi-domain threat from Adversary Y, attempting to disrupt our sensor-to-shooter link in preparation for a kinetic action against a U.S. asset."
Phase 3: AI-Powered Insights & Decision Support (Wallaroo.ai's Role)
The enriched data from Equitus is now ready for AI-powered analysis to provide predictive and prescriptive insights.
Wallaroo's Function: Wallaroo would ingest the fused data from Equitus and run specialized machine learning models in real-time.
Insights for SYD 84: The AI models, developed by Guardians within the SYD 84 ecosystem, would analyze the fused intelligence and provide decision-making support. This could include:
Predictive Analysis: "Given this pattern of network activity, the adversary has a 90% probability of launching a follow-on attack within the next five minutes, likely targeting the main command terminal."
Automated Response: "A defensive playbook has been triggered. The AI is recommending rerouting data through an alternative ground station and deploying a cyber deception decoy."
Hypersonic Tracking: Wallaroo's high-performance inference engine could run sophisticated models to track and predict the flight path of a simulated hypersonic missile based on fragmented sensor data, providing rapid "tipping and cueing" to missile defense systems.
Insights for SYD 810: The AI models would focus on generating actionable intelligence for targeting and space domain awareness.
Predictive Analysis: "Adversary is attempting to jam our sensor. This is likely to create a three-minute window of opportunity for them to reposition their asset. Recommendation: Maintain sensor lock via an alternative frequency."
Automated Targeting: "The AI has confirmed a spoofed data feed. It has automatically corrected the targeting solution based on redundant, non-compromised sensor data, ensuring the simulated strike remains on course."
OTTI Optimization: The training data generated from this entire process could be fed back into Wallaroo's MLOps pipelines to continuously improve the accuracy of the AI models.
Conclusion: Integrating for a Unified Force
By orchestrating this three-part process, SYD 84 and SYD 810 can provide their partner mission deltas with an unprecedented level of readiness. The integration of Wallaroo, Equitus, and Teleseer in OTTI ensures that Guardians are not just reacting to events but are anticipating and outmaneuvering adversaries.
Teleseer provides the low-level, ground-truth visibility into the network.
Equitus elevates this visibility to a multi-domain intelligence picture.
Wallaroo translates that intelligence into automated, real-time, and predictive action.
This integrated approach fulfills the USSF's vision of a data-driven, intelligence-led, and highly effective force, with Guardians from cohorts to squadrons training on a platform that mirrors the complexity and tempo of modern space warfare.
