How Fidelis EDR Telemetry and Event Logging Enable Faster Incident Investigation

Key Takeaways

Fidelis EDR captures detailed endpoint telemetry across processes, files, registry activity, and network events

Endpoint Collector enables retrospective investigations and enterprise-wide threat hunting from stored behavioral data

Process trees and timeline playback accelerate root cause analysis for multi-stage attacks

Behavioral rules and MITRE ATT&CK mapping improve detection fidelity against fileless threats

Automated response, forensic collection, and XDR correlation reduce SOC workload and incident response time

Alert-only endpoint security tools create an investigation problem. When a detection fires, analysts need more than a single event record. They need the process that spawned the threat, the commands that ran, the files that changed, and the network connections that followed. Without that context, root cause analysis turns into guesswork and dwell time grows while teams try to reconstruct activity that was never logged in the first place.

Fidelis Endpoint® takes a telemetry-first approach: collecting granular behavioral data from every monitored endpoint, retaining it in a centralized repository, and making it queryable in real time and retrospectively. For SOC teams, incident responders, and threat hunters, that endpoint telemetry depth directly supports faster MTTR, stronger detection fidelity, and more decisive incident response.

How Fidelis EDR Collects Endpoint Telemetry

A single lightweight agent runs on Windows, macOS, and Linux systems. It captures metadata continuously for every process and child process, covering behaviors, registry changes, file events, and network activity. That data feeds into the Endpoint Collector, a centralized behavioral metadata store with configurable retention of 30, 60, or 90 days. The result is a persistent record of endpoint activity that SOC teams can query long after an alert fires.

The event categories logged per endpoint include:

Process starts and child process creation with full command-line arguments

Registry writes, modifications, and deletions

File creation, write, close, and deletion events

Network connections including DNS, HTTP/HTTPS, and SMB

Windows Event Log entries covering logon and account activity

Loaded DLL and executable files

Remote thread activity

The event timeline presents everything chronologically: parent and child processes, loaded DLLs, files written, network connections, and the full process tree. Stored timelines let analysts reconstruct pre- and post-detection activity without initiating a separate forensic collection, cutting overhead on every alert in high-volume environments.

Command-line capture extends to the maximum length Windows supports, past the previous 512-character limit. Encoded PowerShell abuse is documented under MITRE ATT&CK T1059.001 and truncated captures leave gaps in the execution record. Full-length capture removes that blind spot.

When endpoints go offline, threat intelligence and detection logic stay local on the agent so detection continues regardless of connectivity. Events cache and sync on reconnect, keeping the behavioral record intact for remote workers, air-gapped systems, and off-grid deployments.

How Endpoint Event Logging Speeds Up SOC Investigations

The Endpoint Collector is where stored endpoint telemetry becomes actionable during an investigation. Rather than pivoting across multiple tools after an alert fires, analysts query behavioral metadata directly from the console. The query interface supports faceted search for standard triage and a Boolean logic query builder for complex, multi-attribute correlation. Saved queries run continuously, supporting ongoing managed threat hunting campaigns and recurring monitoring requirements without rebuilding searches from scratch.

NIST SP 800-61 identifies rapid data collection and evidence preservation as foundational to effective incident response. Retaining endpoint behavioral metadata over extended windows supports both. When a new indicator of compromise surfaces from an external advisory, analysts run it immediately against weeks or months of stored endpoint data to determine prior exposure, a retrospective capability alert-only tools cannot provide.

Every first-time-seen executable and script is captured at execution time. Attackers routinely delete tools after use, but because capture happens before deletion is possible, a clean sample is preserved regardless. Security teams review it in the built-in hex or text editor, submit it through Threat Lookup, or download it for external analysis.

Retrospective threat hunting works the same way. New suspicious behavior patterns search the full retention window immediately, and confirmed patterns convert directly into custom Behavior Rules with minimal workflow steps.

Faster Threat Investigations Start with Deeper Endpoint Visibility

Process Trees and Event Timelines: Accelerating Root Cause Analysis

Process lineage is critical for root cause analysis. The Fidelis graphical timeline reconstructs the full execution chain, showing which parent spawned which child, with arguments, file writes, registry modifications, and network connections at each step. Security teams follow a compromise from entry to exfiltration in one interface without manually joining log sources.

Living-off-the-land attacks are documented in MITRE ATT&CK under T1059 and T1055. The malicious activity is in execution context, not the binary itself. Without process lineage, flat log review misses the causal chain between steps: which process spawned PowerShell, with what arguments, after which download, while malicious processes keep running while the investigation stalls.

A built-in playback capability steps through key events chronologically, cutting the time needed to produce an accurate incident summary for complex multi-stage attacks.

Remote thread activity and loaded DLLs are recorded per process. When attackers inject code into a legitimate process, those events appear in the process tree alongside all other activity, giving analysts full visibility into suspicious behaviors before, during, and after the injection.

Behavioral Detection, Threat Intelligence, and Reducing False Positives

How Behavior Rules Improve Detection Fidelity

Behavioral detection runs through a continuously updated Behavior Rules library maintained by the Fidelis Threat Research Team from ongoing research, sandbox results, and machine learning outputs. Where applicable, rules map to MITRE ATT&CK techniques, giving analysts technique-level context the moment a detection fires, before manual investigation begins.

CISA recommends behavior-based detection because signatures struggle against fileless attacks and living-off-the-land techniques. Detections fire on what a process does, not what it is. A threat that evades signature scanning still triggers an alert if its execution pattern matches a known attacker TTP, strengthening detection fidelity against evolving cyber threats.

Custom Behavior Rules build directly from Endpoint Collector queries. A hunting query that surfaces a suspicious pattern converts into a production detection rule without additional tooling. Rules update without agent redeployment, letting teams adapt to emerging threats immediately. Vendor-maintained and analyst-developed rules work together, giving security teams broad coverage alongside environment-specific tuning that reduces false positives over time.

Threat Intelligence Feeds, IOC Correlation, and the Global Threat Cache

Fidelis Endpoint® ingests threat intelligence from multiple simultaneous sources. The Scanning Indicator Library ships with hundreds of community indicators and supports additional OpenIOC and YARA rule uploads. Fidelis Insight feeds, third-party commercial feeds, and internally developed indicators are all supported across STIX, XML, JSON, and delimited formats, strengthening coverage against known and unknown threats without a separate intelligence platform.

All intelligence correlates continuously against endpoint events including process hashes, network IPs, and URLs. Fidelis Insight pushes behavioral indicator feeds directly to each agent, so correlation runs locally even without console connectivity. Isolated or offline endpoints retain active detection coverage, which cloud-only correlation cannot guarantee.

The Fidelis Insight Content Analysis Platform runs sandbox execution with active networking and returns a malware confidence score from 0 to 100. The Global Threat Cache adds antivirus consensus data for executable files across all relevant network transactions. When Fidelis AV detects a threat, a sample copy goes to the Global File Quarantine automatically; analysts pivot to the source event, download the sample, or check it against Threat Lookup, which receives only file hashes, never binaries or customer data.

Proactive Threat Hunting and Managed Detection Workflows

ThreatScan applies OpenIOC and YARA rules against file system and process memory across any number of endpoints simultaneously from a single task. Results feed back into the Endpoint Collector for correlation with stored behavioral metadata, with scope configurable from a single endpoint to the full managed fleet.

YARA rules support the full module set including the PE module for executable structure inspection. Code-pattern hunting catches malware families that rotate file hashes while keeping consistent internal structure, a documented evasion technique in MITRE ATT&CK. Hash-only detection misses these variants entirely. For advanced persistent threats and sophisticated attacks where evasion is expected, behavioral and structural hunting rules enable advanced threat detection where signatures stop working.

The Advanced Query Builder supports Boolean logic searches across the Endpoint Collector. Teams filter on endpoint attributes, search the full retention window, and save queries for recurring use. A new hypothesis runs against the complete stored dataset immediately, which is critical when an attacker has been active for weeks before the first alert fired.

Confirmed hunting patterns convert directly into custom Behavior Rules, feeding detection engineering continuously and improving the overall security posture with each investigation cycle.

Forensic Collection and Live Endpoint Response

Live Response for Faster Triage

Live response captures targeted volatile artifacts including running processes, open network connections, recently contacted DNS hostnames, and recently executed applications, quickly enough to determine whether an alert warrants deeper investigation without committing to a full disk imaging job.

Many alerts need only initial assessment before being dismissed. Using live response for triage avoids the time cost of full disk collection as a default first step, and in high-volume SOC environments that difference compounds across dozens of daily alerts. Targeted triage also preserves analyst capacity for confirmed incidents that genuinely require deep forensic collection, making the overall incident response workflow more efficient.

Deep Forensic Collection for Confirmed Compromises

When an incident is confirmed, Fidelis Endpoint® supports comprehensive forensic collection:

Full disk imaging in E01 or S01 forensic container format, with optional OS bypass for direct file system parsing

Targeted file collection using filters including creation date, path, extension, hash, and file content, wrapped in AD1 containers with preserved filesystem metadata

Full memory capture in RAW or AFF4 format, compatible with Volatility and similar memory analysis tools

Live memory analysis returning process details including addresses, privileges, sockets, handles, and DLL mappings without requiring a full memory dump first

Process dumps with configurable granularity down to specific handle data and thread information

For unknown executables with no multi-scanner data, Cerberus performs first-order binary analysis by evaluating digital signature validity, packer detection, and OS function imports to score malicious likelihood before sandbox submission.

Live machine forensics collects from a running system, so some evidence may change during collection; full disk imaging in E01 or S01 format is available when the investigation requires it.

Automated Threat Remediation and Incident Response Automation

Playbooks, Scripts, and Automated Response Capabilities

Over 100 response scripts ship for Windows, Linux, and macOS, covering investigative tasks like log collection and process analysis, forensic tasks that capture file and network data at detection time, and destructive tasks including endpoint isolation, file deletion, and registry modifications. Most common incident response scenarios have a ready-made script requiring no custom development.

The automated response engine chains trigger rules with specific actions based on validated alert conditions: isolating an endpoint on a high-severity detection, collecting volatile triage data immediately, or terminating a confirmed malicious process before analyst review. Endpoint isolation cuts network access while maintaining console communication, stopping lateral movement without ending investigative access.

Custom scripts extend the prebuilt library, with response actions deployable against a single endpoint or the full managed fleet from one task. Automated threat remediation at that scale reduces breach scope directly.

SIEM, SOAR, and Extended Detection Integration

SIEM and SOAR integration runs through syslog export and a REST API. Bidirectional SIEM connectivity lets SIEMs trigger predefined response templates including live response collections, isolation, and scripted actions, without manual analyst handoff. Endpoint telemetry and automated response actions become part of the broader extended detection and response data model rather than existing in isolation.

The Live Console gives direct remote access to disks, files, registries, and processes during active incidents, without needing a separate remote access tool. Alert subscriptions route by severity to email, Microsoft Teams, and Slack.

Vulnerability Correlation, Software Inventory, and Security Hygiene

Installed software across all endpoints correlates continuously against the MITRE CVE database and Microsoft Knowledge Base articles. When a new CVE is published, an alert fires if the affected software version is present anywhere in the environment. This gives security teams early warning of exploitable exposure before attackers act on it.

During an investigation, the inventory immediately confirms whether a vulnerable software version was running at the time of a suspected exploit. OS patch status, host firewall state, AV engine status, and USB insertion history are also tracked as a queryable record rather than a manual cross-system check, which shortens the investigative phase and supports more accurate root cause findings.

Fidelis Endpoint®: A Technical Deep Dive

Fidelis Endpoint® and the Fidelis Elevate Active XDR Platform

Fidelis Endpoint® deploys standalone or as the endpoint component of Fidelis Elevate, an Active XDR platform combining EDR, network detection and response, and deception technology. Within Elevate, endpoint telemetry correlates with network sensor detections and deception signals for comprehensive visibility across the full attack surface.

Validation rules query endpoint events for every Fidelis Network alert, giving analysts immediate signal on whether a network detection has behavioral support before escalation. Coverage maps to MITRE ATT&CK and the MITRE Engage framework across all three layers, providing a shared detection taxonomy.

Cross-layer validation surfaces automatically as part of the alert context. Network alerts with no corresponding endpoint activity get a different priority than those the Endpoint Collector confirms with matching process data, reducing manual correlation work and analyst fatigue.

Endpoint Protection at Enterprise Scale: SOC Fit and Operational Management

At enterprise scale, telemetry depth is only useful if the platform can query it quickly, prioritize alerts, and enforce role-appropriate access; otherwise the data exists but the workflows do not.

Dynamic groups update automatically on endpoint characteristics, handling segmentation without manual maintenance. Role-based access controls set permissions at the script, endpoint, and system configuration levels, with junior analysts working within a defined triage scope while senior analysts and incident responders access broader data and response capabilities.

Agent communications use TLS 1.2 encrypted WebSocket connections, and scripts execute simultaneously across multiple endpoints from a single task. The alert interface supports grouping, filtering, and graphical trend analysis; the system health page provides backend service status with log collection from the console.

The operational management layer is what makes the telemetry depth practical rather than aspirational. For security leaders evaluating endpoint protection platforms, operational fit matters as much as detection capability. An endpoint security solution that collects rich telemetry but cannot surface it quickly, route alerts correctly, or execute response at fleet scale adds data without adding value. The combination of deep endpoint visibility and scalable operational controls is where comprehensive protection at scale strengthens the overall security posture of the organization.

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