Use Case
Business Continuity
Proactively monitor and eliminate false positives using machine learning to achieve optimal security posture while verifying for business continuity.
The Challenge
Overcoming false positives for Timely Response and Uninterrupted Business Operations
45%
of all alerts are false positives
74%
of breaches today caused by misconfigurations
$88,000
Benefits
Reduce the load on security teams proactively by stop 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
Features
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
Actionable Remediation paths
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
Safe Remediation
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
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.
