ENISA-STL-2025-03-sD.33-i06 Space Threat Landscape

ENISA-STL-2025-03-sD.33-i06

Publication: enisa-stl-2025-03 Space Threat Landscape

Full text

The control text is third-party content; see the official source for the full wording.

DE-0003.12 Poison AI/ML Training for EvasionST0006
addresses
high
ML data-integrity testing (regression, validity, manual, statistical analysis) is the named control against poisoning of detector training data for evasion.
DE-0009.05 Corruption or Overload of Ground-Based SDA SystemsST0006
addresses
high
ML data-integrity testing surfaces poisoning of SDA AI/ML detection and correlation models through regression, validity, and statistical analysis.
EX-0012.13 Poison AI/ML Training DataST0004
addresses
high
ML data-integrity testing for poisoning is the named control: regression testing, validity checking, manual analysis, and statistical analysis on training datasets.

Built 2026-07-25 from 216 techniques, 334 regulation articles, 125 ENISA controls, 2,610 framework controls, and 90 countermeasures.