Eliminate False Positives
Proactively identify and solve false positive events using proprietary machine learning to achieve optimal security posture while ensuring business uptime.
Overcoming false positives for Timely Response and Uninterrupted Business Operations
of all alerts are false positives
of breaches today caused by misconfigurations
Machine learning-based analysis
Automatically identify and remediate false positive events based on advanced machine learning algorithms.
87% improvement in MTTR of cyberattacks by exclusively eliminating false alarm events before any manual analysis
Make informed decisions based on contextualized data on each alert, including the business context and the potential impact on the organization
90% improvement in root cause analysis time
Safely remediate security gaps to maximize security. Minimize the risk of false positive events causing unintended consequences through proactive monitoring and granular, pointed exclusions that do not add to organization risk exposure
1 hour of business downtime saved per week by exclusively remediating misconfigurations that cause false positive events
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FREQUENTLY ASKED QUESTIONS
WHAT ARE FALSE POSITIVE EVENTS IN CYBERSECURITY?
How can false positive events be detected?
How do false positive events impact security operations?
How can false positive events be reduced or eliminated?
False positive events can be reduced or eliminated by improving the accuracy of security systems, such as through adjusting security rules and configurations, implementing machine learning algorithms, or using threat intelligence feeds.
What is the best approach to minimize the impact of false positive events?
The best approach to minimize the impact of false positive events is through implementing a multi-layered security strategy that includes real-time monitoring, automated analysis and contextualized remediation to quickly identify and resolve false positive events.