Use Case
Eliminate False Positives
benefits
Increase security effectiveness and reduce the load on security teams by proactively reducing alert fatigue caused by chasing down false positive events.
Increase effectiveness
Ensure Business Uptime
Reduce risk exposure
Increase confidence
Re-energize confidence in the security organization by proactively detecting and remediating impacts to applications and users
Unleash the full potential of your security posture
Features
Machine learning-based analysis
Automatically identify and remediate false positive events based on advanced machine learning algorithms.
Actionable Insights
Make informed decisions based on contextualized data on each alert, including the business context and the potential impact on the organization
One-Click Remediation
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
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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.
