# Predictive Exploit Detection **Entity class:** Predictive security method ## Definition **Predictive exploit detection** estimates emerging exploit paths before their harmful payload or consequence is fully realized. It combines vulnerability intelligence, exposure, access, observed adversary behavior, anomaly detection, system dependencies, and changing state. In a cyber-biological system, the predicted path may cross firmware, an adaptive model, a credential, a communications channel, a stimulation controller, and the biological endpoint. Detection therefore operates on an attack graph rather than one defective component. ## Relationships - **input:** [[wiki/Human-Machine State Estimation|Human-Machine State Estimation]]. - **priority signal:** [[wiki/Known Exploited Vulnerabilities Catalog|Known Exploited Vulnerabilities Catalog]]. - **response:** [[wiki/Neural Incident Response|Neural Incident Response]]. - **larger doctrine:** [[wiki/Predictive Defense|Predictive Defense]]. ## Sources / Provenance - Cybersecurity and Infrastructure Security Agency, [Known Exploited Vulnerabilities Catalog](https://www.cisa.gov/known-exploited-vulnerabilities-catalog), accessed 2026-09-23. - Xinyu Jiang et al., [“Cybersecurity in neural interfaces”](https://pubmed.ncbi.nlm.nih.gov/37883851/), 2023. **As of:** 2026-09-23