The best answer to this is probably that the tools you are referring to provide analytical data, and the most common uses of that data are more wide-ranging than the detection of cheating, combined with the fact that none of the tools can provide guaranteed proof of cheating.
While the data can be used to detect anomalies or irregularities, and that may be evidence gathered in deciding whether or not cheating happened, one also has to acknowledge that it takes more investigation than just the existence of an irregularity to prove cheating. At the very least, there would need to be interviews with the student and anyone else who may have knowledge of the incident or its plan. And in the end, even if cheating is proven, it still wouldn't be accurate to characterize the purpose of the analytics tools as being "for the purpose of detecting cheating," when they are used for so many other purposes on a far more consistent basis.
For example, when students at a specific school are using timed writings to build speed and fluency in preparation for the free response sections of a high-stakes exam, there will be several hundred uses of the "time spent" feature in a single day, for a single course, and not a single one of those uses will be related to the detection of cheating. And that is just one of the analytics tools, on one assignment, in one course, in one school, on one day.
It would be fair to say that evidence towards the detection of cheating can be a fringe use of some of the analytics tools, but this is not their most common use, not their purpose, and not, by itself, enough to stand as proof of cheating.