SineWave GP Pat Muoio’s article was featured in CHANCE: Assessing Risk in Cybersecurity: How Sound Data Science Can Raise the Bar
Cybersecurity is not currently a data science-driven practice, and the frustratingly slow progress in the development of cybersecurity technology reflects this deficiency. Operators are bombarded with too many false positives. If greater data science savvy is brought to bear at the system design stage, rather than not at all or after the fact, these challenges can be overcome. a more scientific understanding of the situation can lead to more effective results-based, rather than threat-based, solutions.
Cybersecurity is a data-driven practice. Protective and responsive decisions are made on the basis of observations of user and system behavior. Artificial intelligence (AI) is used to learn good from bad and thresholds are set to trigger alerts or responses. However, cybersecurity is not currently a data science-driven practice, and the frustratingly slow progress in the development of cybersecurity technology reflects this deficiency.
Read the full article here.
