How Fidelis Enables High-Confidence Threat Detection

Key Takeaways

Correlates endpoint, network, cloud, identity, and behavioral telemetry to deliver high-confidence threat detection with greater accuracy and visibility.

Combines behavioral analytics, threat intelligence, and intelligent alert correlation to reduce false positives, minimize alert fatigue, and improve SOC efficiency.

Provides real-time threat detection with XDR capabilities, enabling faster investigations, quicker incident responses, and better threat prioritization.

Uses deception technology and context-aware analytics to detect ransomware, insider threats, credential abuse, and lateral movement with high-fidelity alerts.

Delivers a unified, cross-domain security platform that strengthens enterprise threat detection while improving operational resilience against advanced cyber threats.

The nature of cyber threats has become more complex, rapid, and harder to detect. Security Operations Center (SOC) teams are responsible for detecting and preventing attacks as they happen, but they often spend more time investigating false alarms than responding to actual threats.

This is where Fidelis helps organizations achieve high-confidence threat detection. Instead of just relying on isolated alerts or signature-based detection, Fidelis adds behavioral analytics, deception technology, threat intelligence and cross domain visibility to the mix, to get a higher confidence in the detection of malicious activity. The outcome is a real-time security alert with context to help organizations lessen the burden of alert fatigue and respond faster to incidents.

In this blog, we’ll discuss how Fidelis enables high-confidence alerts for faster threat detection.

The Challenge of Alert Overload in Threat Detection

Today’s enterprises produce millions of security activity records a day. Alerts are generated by firewalls, endpoint protection platforms, cloud security platforms, email gateways, and identity solutions, each separately. Most of these tools primarily focus on detecting and reporting activity within their respective security domains, with limited cross-domain correlation capabilities

Security analysts are bogged down with thousands of alerts that may not even be malicious. This overload makes analysis more difficult and increases analyst reaction time and the likelihood of missing legitimate attacks.

The traditional approach to monitoring security events across multiple security domains is insufficient for organizations. They need high fidelity detection which can validate the threat with multiple sources of information rather than just a single suspicious event. This will make it possible for security teams to prioritize incidents that matter, as opposed to those that are irrelevant.

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What is High-Confidence Threat Detection?

High-confidence threat detection is able to detect threats with a high degree of supporting evidence. Modern detection platforms don’t just fire an alert when one “odd” event happens; they correlate many factors across endpoints, networks, cloud resources, user identities and threat intelligence sources.

Such a method provides context-aware threat detection, enabling analysts to get a better picture of the attack itself, as well as how it was executed and what systems were impacted. Security teams get a whole view of the attack chain, instead of dealing with isolated alerts.

High-confidence detection underpins approaches such as unified, cross-domain, and multi-layer threat detection by combining and correlating evidence from multiple security sources. By analyzing these signals together, organizations can identify attack patterns that may remain hidden when individual events are investigated in isolation.

How Does Fidelis Enable High-Confidence Threat Detection

Fidelis’ multi-technology approach to cyber defense allows for the integration of various technologies into one platform. Rather than standing alone as endpoint, network, cloud and identity security, Fidelis uses telemetry analysis to link the data from all these areas together and filters noise or low value alerts being raised by an alarm.

This all-encompassing solution will help organizations to minimize false positives in threat detection and increase detection accuracy.

Unified Visibility Across the Entire Attack Surface

One of Fidelis’ greatest strengths is its ability to provide visibility across the entire enterprise. Rarely are modern attacks limited to just one device or one application. An attacker can start with a phishing email, intrude into an endpoint, move laterally around the network, log on to cloud resources, and finally steal sensitive data.

Traditional security tools are only able to catch one point in this attack. Fidelis stitches these discrete events together into a unified investigation that allows for unified threat detection across endpoints, networks, cloud workloads, identities and applications. By correlating activity from multiple security layers, analysts gain a complete understanding of attacker behavior rather than reviewing isolated alerts from different products.

Cross-Domain Correlation Improves Detection Accuracy

Modern attackers can usually “jump” from system to system and evade detection. These attacks can only be identified if there is visibility across more than one security control. By connecting events across endpoints, networks, cloud environments, and user identities, Fidelis can detect threats across domains. The platform allows security teams to see related activity within a single incident timeline instead of a lot of individual alerts.

This method provides a fast way to gain insight into the origin of the attack, the assets touched, and the advancement level of the attacker. This way, investigations are quicker and more accurate, but duplicate alerts are minimized.

Behavioral Analytics Detect Unknown Threats

Signature-based security products work well against known malicious techniques but are less effective in identifying new or evolving attacks. Fidelis’ solution to this challenge is advanced behavioral analytics. The platform doesn’t just use known attack signatures; instead, it watches user and system activity, which includes privilege escalation, credential theft, unusual PowerShell activity, process creation, and unusual network communications.

Fidelis uses behavioral analytics to look at attacker behavior instead of malware signatures, so that it can detect new threats and minimize false positives when it comes to behavior detection.

Threat Intelligence Adds Context to Every Alert

The real value of security alerts is added by context. Using global threat intelligence, Fidelis enhances detections, enabling analysts to identify suspicious activity to see if it has been linked to a known adversary, malicious infrastructure, ransomware campaigns, or new attack techniques.

Rather than just informing analysts of some unusual activity, Fidelis will provide explanations as to why it is suspicious and how it ties into known threats. By using threat intelligence, the number of false positives can be decreased by validating suspicious events against trusted intelligence sources before escalating incidents. The extra context also helps to prioritize and make decisions on responding to problems.

Intelligent Alert Logic Reduces Alert Fatigue

The overwhelming number of alerts that are received in a day is one of the major challenges for SOC teams. When you must dive into each notification one by one, you can easily end up with analyst burnout. Fidelis addresses this challenge with advanced alert logic that evaluates multiple factors before generating an alert. The platform doesn’t alert based on specific incidents but rather takes into account several factors before deciding if malicious activity is underway.

With all the endpoint behavior, network traffic, user activity, threat intelligence and attack progression flowing into a single decision-making process, Fidelis significantly improves the quality of threat detection and decreases false positives. This translates to less time spent on validating alerts and more time spent on responding to verified threats.

Real-Time Security Alerts Accelerate Incident Response

There is not a lot of time to react to cyberattacks. Fidelis provides real-time security alerts to alert security teams to suspicious activity as soon as it is detected at a set of confidence levels.

Why Deception is Considered High-Fidelity Detection

Deception technology is considered one of the highest-confidence detection fidelity detection techniques because legitimate users would never interact with deceptive assets. Deception technology is designed to produce deceptive objects: fake credentials, deceptive servers, honeypots, and false administrative accounts, unlike traditional methods which involve detection of suspicious activity.

These assets should have no legitimate operational purpose and should not be accessed as part of normal business activities. Therefore, any attempt to access them is highly suspicious and may indicate malicious activity. Since alerts are triggered when someone attempts to access these controlled environments, the resulting detections are highly precise and generate very few false positives. Deception is therefore an effective way to detect lateral movement, insider threats, credential abuse, and ransomware activity before attackers can reach valuable assets.

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Evaluating Threat Detection Accuracy

Organizations investing in modern security platforms often ask how to compare risk intelligence solutions to threat detection accuracy. While detection rates are important, accuracy depends much more than identifying malicious files.

A strong threat detection platform should provide broad visibility, contextual analysis, behavioral analytics, integrated threat intelligence, automated correlation, and support for modern XDR solution capabilities. Equally important is its ability to minimize unnecessary alerts, so security teams can focus on genuine risks rather than spending valuable time investigating false alarms.

Evaluation CriteriaWhy It Matters

Cross-domain visibilityConnects attacks across endpoint, network, cloud, and identityBehavioral analyticsDetects unknown and fileless attacksThreat intelligence integrationImproves detection confidenceDeception technologyEnables high-confidence detection with minimal false positivesAutomated alert correlationReduces duplicate investigationsXDR capabilitiesSimplifies investigations across multiple security domainsLow false positive rateImproves SOC productivity

Conclusion

Today’s threat landscape demands more than signature-based detection and isolated alerts. As cyber threats become increasingly sophisticated, organizations need contextual, intelligence-driven security capabilities to accurately identify and respond to genuine threats.

Fidelis enables high-confidence threat detection by unifying behavioral analytics, deception technology, threat intelligence, high-fidelity alerts, cross-domain visibility, and XDR capabilities into a single platform. With activity correlation across the enterprise and an ability to provide real-time alerts on security events with minimal false-positives, Fidelis enables organizations to enhance security operations and minimize investigation time and analyst fatigue. Fidelis offers businesses the visibility, intelligence, and context to confidently detect threats, making it an efficient tool for enterprise threat detection.

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