ML and security is tricky. Its a good tool, but shouldn't be the only one. With threats constantly changing, ML alone will fall short. Its great for so calle

ML and security is tricky. Its a good tool, but shouldn't be the only one. With threats constantly changing, ML alone will fall short. Its great for so called 'easy' stuff or locating 'odd' stuff to prioritize. On top of that you need explainability and reproducibility. Depending on the ML in use, this can be difficult. When a FP or FN occurs, customers want to know what happened and can you fix it. They don't like to be told things like "because the ML said so." Reproducibility is important for support. When things go wrong, they need to know how to right it. If you can't explain or reproduce, its hard to say the misclassification is resolved and won't happen again.