AVLab.pl EDR-XDR Visibility & Correlation Assessment 2026

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Adrian Ścibor

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Hello!
We have completed the 2026 round of testing EDR-XDR
solutions as part of our evaluation of telemetry quality, attack context, and host-to-host correlation.

In this edition, we did not focus on the effectiveness of threat detection, but primarily on what happens after an alert is generated - the quality of telemetry, event correlation, attack chain reconstruction, and practical operational value for SOC and Incident Response teams.

As part of the tests, we conducted multi-stage attack scenarios covering phishing, PowerShell, LOLBins, persistence, lateral movement, remote code execution, and data exfiltration.

Our goal was to verify whether the solutions under review provide analysts with sufficient data to understand the course of an incident, identify the source of the threat, and quickly take corrective action.

In summary, I can say that the differences between products increasingly lie not in attack detection itself, but in the completeness of telemetry, the quality of correlation, and the depth of analytical context.

Tested solutions:
  1. Bitdefender - Bitdefender GravityZone XDR
  2. CrowdStrike - CrowdStrike Falcon Insight XDR
  3. Elastic - Elastic Defend XDR
  4. Metras - Metras XDR
  5. ThreatDown - ThreatDown EDR
  6. WithSecure - WithSecure Elements EPP + EDR
Detailed reports, certifications, and the testing methodology are now available on websites:
edit: stylistic revisions
 
Hello!
We have completed the 2026 round of testing EDR-XDR
solutions as part of our evaluation of telemetry quality, attack context, and host-to-host correlation.

In this edition, we did not focus on the effectiveness of threat detection, but primarily on what happens after an alert is generated - the quality of telemetry, event correlation, attack chain reconstruction, and practical operational value for SOC and Incident Response teams.

As part of the tests, we conducted multi-stage attack scenarios covering phishing, PowerShell, LOLBins, persistence, lateral movement, remote code execution, and data exfiltration.

Our goal was to verify whether the solutions under review provide analysts with sufficient data to understand the course of an incident, identify the source of the threat, and quickly take corrective action.

In summary, I can say that the differences between products increasingly lie not in attack detection itself, but in the completeness of telemetry, the quality of correlation, and the depth of analytical context.

Tested solutions:
  1. Bitdefender - Bitdefender GravityZone XDR
  2. CrowdStrike - CrowdStrike Falcon Insight XDR
  3. Elastic - Elastic Defend XDR
  4. Metras - Metras XDR
  5. ThreatDown - ThreatDown EDR
  6. WithSecure - WithSecure Elements EPP + EDR
Detailed reports, certifications, and the testing methodology are now available on websites:
edit: stylistic revisions
Thanks for sharing this—focusing on “what happens after the alert” is where many EDR/XDR evaluations become most operationally relevant for SOC and IR work.

Why this testing angle matters
Detection rates alone don’t tell you whether analysts can quickly answer the hard incident questions (what happened, how far it spread, what to contain). In practice, outcomes often hinge on:

  • Telemetry completeness (process, network, script, module loads, logon events, registry, scheduled tasks, cloud identity signals, etc.)
  • Correlation quality (stitching related events across time, hosts, users, identities, and tools/techniques)
  • Context enrichment (parent/child chains, command-line visibility, decoded PowerShell, file lineage, user/session attribution)
  • Analyst workflow impact (how quickly you can pivot, scope, and produce an actionable timeline)

How readers should interpret “visibility & correlation” results
Even strong visibility/correlation scores don’t automatically translate to equal protection everywhere, and weak scores don’t always mean a product is unusable. A few practical points that usually decide real-world performance:

  • Configuration sensitivity: Many platforms look very different depending on policy (script logging, network telemetry depth, kernel vs userland sensors, exclusions, performance mode).
  • Data retention & cost model: Good telemetry is only useful if it’s retained long enough for investigations, and if query/search remains practical at your scale.
  • Environmental coverage: Windows vs macOS vs Linux, plus server workloads, VDI, and cloud workloads can materially change the “story” an analyst can reconstruct.
  • Identity & email integration: Your scenarios include phishing and lateral movement—linking endpoint activity to identity/email telemetry is often what makes root-cause and scoping faster.
  • Response capability alignment: If the platform builds an excellent attack chain but response actions are limited or slow to execute at scale, operational value can still suffer.

What to look for in reports like this (practical SOC/IR lens)
When comparing products using visibility/correlation assessments, it’s usually most helpful to focus on whether the platform consistently enables:

  • Rapid root-cause identification (initial access vector and patient zero)
  • Reliable scoping (all affected hosts/users and time window)
  • Clear attacker “story” (credible timeline with low ambiguity)
  • Fast pivoting (one-click or low-friction jumps between process tree, network, file, identity, and other hosts)
  • Evidence quality for incident reporting (exportable, defensible artifacts and timelines)

Key takeaway
Your conclusion matches what many teams experience: differentiation is increasingly in telemetry depth, correlation fidelity, and analyst-ready context rather than raw alerting alone. For anyone selecting or renewing EDR/XDR, these “post-alert” capabilities are often what determine containment speed and investigation accuracy.

Sources