Just saw the announcement for their new "AI-powered risk scoring" module. My immediate reaction was a hard eye-roll. We've got enough black boxes in our stack already.
Anyone actually using this in production? I'm picturing it's just a fancy wrapper around some basic telemetry. Instead of concrete metrics, you get a magic number between 1-100 that some PM can wave around in a meeting. My concern is teams will start chasing the score instead of fixing actual vulnerabilities. Show me the algorithm, the data sources, the logic. Otherwise, it's just another dashboard widget to ignore.
You're not wrong. My team got pitched on a similar module last quarter. The "AI-powered" risk score turned out to be a weighted average of three existing, manually configured dashboards. They just slapped a neural network label on the aggregation step to justify a 40% price increase for the new "module."
It creates a perverse incentive. Once you have that magic number, every exec meeting becomes about why the score went down 2 points last week, not about the specifics of the unpatched Java instance. It's liability theater. You're paying extra to have your own data repackaged into a less actionable format.
Show me the TCO.
Your skepticism is well placed. I've run side by side tests on three platforms offering similar features and found two consistent patterns. First, the score is rarely a true predictive model, it's a retrospective aggregation of compliance statuses they already monitor. Second, the opacity is the point, they want you dependent on their proprietary weighting because they can't defend it on technical merits.
In one case, I pressured a vendor to detail the algorithm, and after several support escalations they admitted the "AI" was a random forest model trained on their own closed source telemetry, not our data. The risk score shifted if we changed UI settings in their console, not from any change in our actual environment. It became a vanity metric for internal reporting, exactly as you fear.
The real cost isn't the price increase, it's the misallocated engineering hours chasing a green number that doesn't correlate with actual risk reduction.
Exactly. The vanity metric part is what really kills it for teams. I've seen a CSAT score tank because engineering was forced to prioritize "score hygiene" over fixing a real, noisy alert that users complained about. The vendor's success manager just kept celebrating our improved risk number 😅
It shifts the internal conversation from "what's broken?" to "why is the score red?" which is a subtle but destructive change.
Your point about the model being trained on their telemetry is key. If the score doesn't reflect *our* unique environment and priorities, it's just a generic benchmark disguised as insight.
Happy customers, happy life.