Is Your EDR Actually Detecting What It Should?
Your EDR is configured. It's running. The dashboard shows green. But when was the last time you actually proved it would catch a real attack?
Most security teams operate on assumption. They assume CrowdStrike is detecting lateral movement because it detected something last quarter. They assume Microsoft Defender would catch credential dumping because the vendor's datasheet says it should. They assume the SIEM alert fires when the EDR blocks something.
Assumption is not assurance. SCYTHE replaces both with continuous, evidence-based validation.
Why EDR Tools Miss Threats Even When Properly Deployed
A correctly licensed, correctly deployed EDR still misses threats for four predictable reasons:
Configuration drift
Evasion techniques
Untested detection logic
Regression after changes
What EDR Validation Actually Means
EDR validation is the practice of continuously running real adversary techniques against your deployed EDR, in your actual environment, against your actual policy configuration, and measuring whether the expected detection fires, the expected alert generates, and the expected response action triggers.
Does my EDR detect this specific technique against this specific target system? Does the detection generate an alert in my SIEM? Does the alert trigger the correct SOC workflow? Did a recent change break a detection that was previously working?
How We Validate Your EDR?
Supported EDR Platforms
Don't see your EDR? SCYTHE's flexible deployment and API-based integration supports most enterprise endpoint platforms. Contact us to discuss your environment.
What You'll Know After Running SCYTHE Against Your EDR
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Coverage map. Which MITRE ATT&CK techniques does your EDR detect, and which does it miss? Visualized against the ATT&CK matrix so you see your actual coverage density, not your vendor's claimed coverage.
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False negative rate. What percentage of adversary techniques execute without generating a detection? Tracked over time so you can see whether coverage is improving or degrading.
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Alert quality. When a detection fires, does it generate a useful, actionable alert or alert fatigue noise? SCYTHE measures alert fidelity alongside detection rate.
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Regression history. A timeline of every detection regression, when it happened, what change preceded it, and whether it has been remediated.
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Detection improvement evidence. As your team tunes detection logic, SCYTHE shows the before-and-after, giving you measurable proof that your investment in detection engineering is working.
The Business Case: From Assumed Coverage to Measured Assurance
The Cost of Not Knowing
The IBM 2025 Cost of a Data Breach report found that organizations using security AI and automation responded 80 days faster and saved an average of $1.9M per breach.
Stop Operating on Assumed Coverage
Every organization that has never run continuous EDR validation is operating on assumed coverage. Assumed coverage fails silently — you don't know you have a detection gap until an attacker exploits it.
What SCYTHE Customers Actually See
SCYTHE customers consistently achieve 25–60% improvement in detection coverage and 60%+ reduction in detection MTTR — because they know exactly where their gaps are instead of discovering them during an incident.
Frequently Asked Questions
Is SCYTHE safe to run against a production EDR?
Will SCYTHE cause false positives in our SOC during testing?
How is this different from running Atomic Red Team or Caldera?
How long does it take to see results?
Know exactly what your EDR is, and isn't detecting.
Book a demo and see SCYTHE run a validation campaign against your EDR environment. We'll show you your actual MITRE ATT&CK coverage, your false negative rate, and your first regression risk areas.