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

The average cost of downtime per hour

Benefits

Reduce the load on security teams proactively by stop chasing down false positive events.

Increase effectiveness

Alleviate resources waste by culling false positive events. Focus on actual cyber events, rather than wasting resources on false alarms.

Ensure Business Uptime

Proactively monitor misconfigurations that might cause friction or disrupt business operations and functions.

Reduce risk exposure

Prevent postural gaps posed by turning off a security signature that causes a false positive event

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

Take action and eliminate false positive alerts across the security stack before the end user opens a ticket, to ensure business uptime and minimize risk exposure.

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

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FREQUENTLY ASKED QUESTIONS

WHAT ARE FALSE POSITIVE EVENTS IN CYBERSECURITY?

False positive events refer to security alerts that are triggered by benign activities, rather than actual security threats. These false alerts can be caused by a variety of factors, such as security misconfigurations or normal network activity that is mistaken for an attack.

How can false positive events be detected?

One approach is to establish baselines of normal behavior for the system or network being monitored, and then compare each alert against these baselines to determine if it is anomalous or not. Another method is to use machine learning algorithms to analyze patterns in the data and identify any outliers that may be indicative of false positives.

How do false positive events impact security operations?

False positive events can have a significant impact on security operations by overwhelming security teams with unnecessary alerts and diverting resources away from actual security threats. This can lead to delayed response times and an increased risk of data breaches.

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.

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Business Continuity

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Proactively neutralize misconfigurations to minimize exposure risks

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Identify and mobilize threat remediation across the security stack automatically.

GENERATIVE AI SECURITY

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Ensure remediation actions do not give rise to additional exposures

MITRE ATT&CK®

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