Before your team can demonstrate value, it’s important to lay a foundation you can trust to provide accurate, scalable results for your compliance monitoring program. One way to do that is through a machine learning powered solution, but how do you know you placed your faith in the right hands? Learn how Bluesight builds and validates trustworthy advance analytics and how it drives departmental return on investment (ROI) over time.
Why Trust Machine Learning?
We need to trust machine learning, but if we could fully understand it then we wouldn’t need machine learning to solve the problem — that’s the paradox that makes it hard to place faith in AI at face value. At Bluesight, we build and validate trustworthy machine learning in part by taking these actions:
- Monitoring production performance on how well the solution distinguishes between suspicious and non suspicious accesses
- Monitoring for fairness to make sure segments of the population are treated evenly
- Building our analytics based on features we can understand, and validating how the machine learning “thinks” about a case
With the proper guardrails in place we can trust that machine learning is doing its job, but ultimately the best results come from people and analytics working together.
Strengthening Your Team’s Value
Once you have a foundation you trust to provide accurate, scalable results, your team can start strengthening its value. Create a more proactive approach to compliance monitoring, save time, and do more with fewer resources. Real ROI reported by Bluesight customers you can expect:
- Up to 100% of system accesses monitored
- Up to 95% accuracy rate distinguishing between proper and improper accesses
- ~70% time savings when reviewing cases compared to legacy solutions
Learn more about what trusting machine learning can do for your compliance program.