Breaking Down the Real Meaning of an XDR Solution
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Organizations operating in sprawling, hybrid IT environments often lack complete visibility into all assets and their communication patterns. This gap creates blind spots where vulnerabilities go undetected, third-party components remain unpatched, and unauthorized lateral movement can occur without raising alarms.
When unknown assets slip through discovery processes, attackers exploit them quietly—probing for weaknesses, injecting malicious payloads, and moving laterally across network segments before any signs of compromise appear. Legacy security tools generate overwhelming alert volumes without clear prioritization, leaving teams to chase false positives while real threats slip by.
This blog will demonstrate a structured, proactive, risk-based asset protection methodology using advanced Network Detection and Response (NDR). Readers will learn how to perform comprehensive asset discovery and classification, apply contextual risk scoring, detect threats within encrypted traffic, and establish threat hunting and automated containment workflows—all designed to shift security operations from reactive firefighting to strategic defense.
Today’s digital infrastructure—hybrid-cloud, SaaS apps, IoT—expands your attack surface daily. Without continuous asset risk monitoring, new systems go untracked and become prime targets. For example, a recently spun-up cloud instance without active discovery could harbor unpatched software, quietly becoming entry points. Addressing this requires proactive asset protection, not just reacting once attackers have slipped through.
Cyber threats aren’t slowing down—they’re automating. Malicious traffic, lateral movement, or minor reconnaissance can herald a larger breach. By the time alerts surface in legacy systems, attackers may have already exfiltrated sensitive data. That’s why real-time asset detection and response, powered by proactive network threat detection, is essential to get ahead of risk buildup.
Not all assets are equally critical—but without risk-based asset security, everything looks equally risky. This leads to noise, fatigue, and scattered effort. Organizations need to score assets contextually, focusing on high-value systems seen in the wild. That’s the core of risk-based vulnerability management and deciding where to invest protection first.
Asset risk security starts with visibility. If you’re blind to 30% of your infrastructure, attackers aren’t. Automated asset discovery identifies servers, workstations, IoT, and cloud instances—then profiles and classifies them based on sensitivity and vulnerability. That gives you a terrain map, revealing where high value assets sit—and where to focus first.
Once assets are mapped, vulnerability scans add CVE context. But what matters is knowing which vulnerable assets are exposed or targeted. By overlaying detection data on vulnerability results, teams can focus remediation on the most actively threatened systems—aligning with proactive vs reactive asset risk mitigation best practices.
Good defense relies on knowing what “normal” looks like. Behavioral analytics learn eastwest and northsouth traffic patterns, login behavior, file flows, and application profiles. Threat hunting with NDR becomes meaningful when deviations are flagged early—before reconnaissance or lateral movement escalate.
Detection is just stage one—response must follow. Predefined playbooks enable immediate actions: quarantining suspicious hosts, blocking data uploads, or triggering forensic workflows. When configured correctly, this enables real-time asset detection and response—catching threats before they become breaches.
New assets are created; attack patterns evolve. Continuous tuning of asset risk scores, scan frequency, and response thresholds is essential. Proactive security isn’t “set and forget”—it’s iterative, informed by new insights and actual incidents.
Now—how can Fidelis Network® NDR uniquely deliver these capabilities?
Problem: Encrypted and multi-protocol traffic hides signals.
Fidelis NDR uses patented Deep Session Inspection® to inspect all traffic—across ports, protocols, SSL/TLS—and extract rich metadata like file activity, credentials, or decoy interaction.
For example, a covert file transfer between asset groups triggers DSI—even if the session’s encrypted. You gain asset risk intelligence and detection capability in a single sweep, dramatically shrinking blind spots.
Problem: Asset sprawl leads to hidden critical systems.
Fidelis automatically discovers and classifies every asset—legacy servers, IoT devices, and cloud instances—while generating a risk score by identifying active vulnerabilities and network exposure .
If a new VPN-connected workstation exhibits unpatched services, it’s flagged—and prioritized, enabling risk-based asset security from day zero.
Problem: Unknown threats fly under the radar.
Fidelis NDR applies multiple machine learning models—across external, internal, application protocols, and data movement contexts—to identify anomalies such as unusual login patterns or lateral movement.
For instance, spiking connections from a legacy server to multiple internal endpoints late at night triggers alerts tied to MITRE TTP for lateral movement—empowering threat hunting with NDR backed by behavioral context.
Problem: Fast threats evade real-time detection.
Fidelis stores rich metadata from each session and retroactively applies new threat intelligence or signatures .
That means if a new exploit is discovered, you can run historic asset traffic for matches—even without prior alerts. It exposes stealth attacks and deepens asset risk monitoring over time.
Problem: Manual workflows delay response and increase risk.
Fidelis NDR supports inline or out-of-band blocking, sandbox-based threat analysis, network DLP, and integration with endpoint isolation through Elevate playbooks.
For example, if data exfiltration is detected, the system can automatically drop the session, quarantine the host, block specific asset communications, and open a high priority ticket—all in real time.
With full visibility and behavior-based detection, Fidelis NDR helps organizations identify and respond to threats up to nine times faster than competitors. That speed dramatically reduces dwell time and the risk of data exfiltration from high risk assets.
Alerts tied to critical assets or unusual behavior attract immediate attention, while noise from benign systems is silenced. Analysts focus on what threatens business continuity, improving efficiency and decision confidence.
Sensors deploy on-prem, in cloud, and across email or web proxies—covering traditional and modern environments. The result: proactive asset protection wherever data flows, not just on the perimeter.
With retrospective search across stored metadata, your team can hunt for artifacts tied to new CVEs or IOC feeds, even weeks later. Asset risk monitoring becomes forensic-grade, not just reactive.
Prebuilt workflows reduce response latency—block connections, contain endpoints, alert stakeholders, and log tickets automatically. This orchestration empowers smaller teams to respond at scale.
See why security teams trust Fidelis to:
Shifting from reactive firefighting to proactive asset protection is essential in today’s threat landscape. Traditional asset security tactics lack speed and context. By leveraging risk based vulnerability management, behavioral anomaly detection, and real-time asset detection and response, Fidelis NDR fills the gap.
Fidelis Network Detect and Response( NDR ) offers full visibility, rich metadata collection, automated asset risk scoring, forensic-grade retrospective analysis, and real-time orchestration—all designed to empower security teams to detect, protect, and most importantly, respond before breaches take hold.
Srestha is a cybersecurity expert and passionate writer with a keen eye for detail and a knack for simplifying intricate concepts. She crafts engaging content and her ability to bridge the gap between technical expertise and accessible language makes her a valuable asset in the cybersecurity community. Srestha's dedication to staying informed about the latest trends and innovations ensures that her writing is always current and relevant.
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