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- “Signals Lost: Detection Gaps in Modern Environments”
“Signals Lost: Detection Gaps in Modern Environments”
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Cloud-Native Threats Bypass Traditional Detection Models
SIEMs and IDS tools were built for on-premises environments. Containers, functions, and APIs emit different telemetry. Old detection logic fails to map modern attack paths.
Dev Tools and CI/CD Pipelines Operate Without Monitoring
Build servers, registries, and deployment scripts often have privileged access. These environments are rarely logged or monitored. Compromising them offers total control with zero alerts.
Data Lakes Swallow Logs Without Generating Alerts
All logs go to storage, but no one’s looking. Petabytes of raw data pile up without real-time analysis. Detection without alerting is passive risk.
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Machine Learning Models Miss Subtle Behavioral Changes
ML detection tools are trained on normal behavior but can’t detect novelty. Slow-moving attacks that mimic user patterns slip through. Sensitivity tuning creates more noise than value.
Endpoint Tools Don't See Identity Abuse Clearly
Account usage looks normal when credentials are valid. Tools detect malware, not malicious admin activity. Privileged abuse flies under the radar.
Threat Actors Act Faster Than Detection Systems Can Respond
Automated lateral movement happens in minutes — alerts take hours. Delayed signal processing makes real-time response impossible. Detection alone no longer equals defense.
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