RA-3(4) - Risk Assessment | Predictive Cyber Analytics

Employ the following advanced automation and analytics capabilities to predict and identify risks to [Assignment: organization-defined systems or system components]: [Assignment: organization-defined advanced automation and analytics capabilities].


ID: RA-3(4)
Enhancement of : RA-3

Space Segment Guidance

Predictive cyber analytics for space platforms merges telemetry-driven anomaly detection with machine learning techniques designed to anticipate potential intrusions or system faults. Rather than reacting to established signatures, these methods correlate current sensor or log data with known threat patterns, allowing operators to forecast security-relevant issues like uncharacteristic fluctuations in command traffic or unusual hardware voltage readings. Organizations might train these models on historical mission data, simulated adversarial scenarios, and broader industry threat intelligence, thereby cultivating an evolving risk picture. With predictive insights, mission planners can prioritize patch deployments or test new contingency procedures in a more targeted manner. While not a panacea, such proactive analytics enhance situational awareness, shorten detection times, and help protect assets that cannot be readily repaired or replaced once in orbit.