Listen to this Post
In cybersecurity, data tracking should prioritize actionable insights that drive behavioral changes. If data doesn’t influence decisions or actions, it’s unnecessary. The industry often collects excessive logs, alerts, TTPs, CVEs, and telemetry without clear utility—leading to alert fatigue and wasted resources.
You Should Know:
1. Filtering Relevant Logs (Linux & SIEM)
Instead of logging everything, use targeted filters:
Syslog filtering for SSH attacks
journalctl -u sshd --since "1 hour ago" | grep "Failed password"
ELK Stack query for critical alerts
GET /_search
{
"query": {
"bool": {
"must": [
{ "match": { "severity": "critical" }},
{ "range": { "@timestamp": { "gte": "now-1h" }}}
]
}
}
}
2. Automating Alert Responses
Use Windows PowerShell to auto-triage alerts:
Trigger incident response for failed RDP attempts
$Events = Get-WinEvent -FilterHashtable @{
LogName='Security'
ID='4625'
StartTime=(Get-Date).AddHours(-1)
}
if ($Events.Count -gt 5) {
Start-Process "C:\IR\lock_account.ps1"
}
3. Reducing Noise with YARA Rules
Focus malware detection on high-risk patterns:
rule APT_Backdoor {
meta:
description = "Detects C2 beaconing"
strings:
$c2 = /https?:\/\/[a-z0-9.-]+\/checkin/
condition:
$c2
}
4. Purging Useless Data
Delete stale logs to free storage:
Linux: Rotate logs older than 30 days
find /var/log -type f -name ".log" -mtime +30 -exec rm {} \;
Windows: Clear Event Logs older than 14 days
wevtutil el | Foreach-Object { wevtutil cl $_ }
What Undercode Say:
Cybersecurity teams must shift from “collect everything” to “collect what matters.” Prioritize:
– Threat intelligence that informs patching.
– Logs tied to incident response playbooks.
– Metrics that trigger automated defenses.
Wasteful data hoarding slows detection. Instead, use AI-driven correlation (e.g., Splunk ES, Sigma rules) to extract signals from noise.
Expected Output:
- Reduced false positives via targeted logging.
- Faster incident response with automated triggers.
- Efficient storage usage by purging non-actionable data.
Prediction:
AI-powered predictive analytics will replace passive logging, auto-prioritizing threats based on behavioral patterns (e.g., Darktrace, SentinelOne). Teams adopting just-enough-data strategies will outperform those drowning in alerts.
Relevant URL: MITRE ATT&CK Framework (For actionable TTP tracking)
References:
Reported By: Spenceralessi I – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
