The HiveWatch Approach
HiveWatch approaches noise differently than the solutions currently offered on the market.
Analyze not only the systems being used, but the individual customer's data to determine the most accurate and productive path forward.
Machine learning is used to dramatically reduce false alarms and excess noise (up to 98%).
report on your baseline noise, where its coming from, and the best way to solve for it.
Why fix your false alarm problem NOW?
Alarm fatigue happens when alarms keep coming and "The Alarm Who Cried Wolf" gets ignored.
missed incidents as alarms that are legitimate become ignored due to overload.
focus on more critical security initiatives which could ultimately improve the health and efficiency of your security program.