Tuning alerts with advanced machine learning
Leverage machine learning to tune Microsoft Sentinel and easily remove false positive alerts. Cut down on false positives to focus on the real threats and reduce alert fatigue. Retain control of your data with a secure platform.
Recommendations to optimize tuning rules
The ML/AI algorithm constantly surveys your threat landscape. If new alert similarities arise, you are recommended new tuning rules.
Choose automatic or guided tuning
Tune alerts automatic or guided. If alerts match your tuning rules, you choose to tune them automatically or manually. Manual tuning takes just a simple click.
No more alert fatigue
Decrease alert handling time with AI/ML
The average handling time of a false positive alert is 32 minutes. By tuning false positives, you save 32 minutes per false positive alert. Tune Microsoft Sentinel with advanced machine learning to gain more time for in-depth threat analysis and reduce alert fatigue.
As we are not using static, fixed rules, the algorithm is agnostic to changed data schemes. If you use fixed rules or playbooks, you would have to change them every time
Adding enrichment to alert improves the efficiency of the ML/AI tuning algorithm because it adds more context
You algorithm is improved as we use anonymized data from other clients to tweak the algorithm. Then launched attacks across different sectors or customers are more easy discovered
Minimize false positive alerts
Automatically tune Microsoft Sentinel alert rules
Leveraging open data sources and threat intelligence, Seculyze machine learning surveys your threat landscape for new alerts. Based on similarities between incoming alerts, you are automatically recommended tuning rules that identify the real threats while tuning-out false positives.
Spend less time analyzing false positives and save resources for the critical alerts that require your full attention.Read how we tune
Automatic or manual tuning: Your call
Leverage machine learning-generated recommendations to fine-tune your alert rules. Based on our best practice recommendations, you decide if the software automatically tunes out the alert or you do it manually with a simple click. You can choose to manually decide on a time frame for running the rule and its severity.Read about control functions