Your SIEM was deployed to protect you. But if the detection rules haven't been mapped against MITRE ATT&CK, you have blind spots you don't know about and attackers do.
I review your entire SIEM deployment and deliver a gap analysis showing exactly where your coverage ends, what techniques you're not detecting, and custom-written rules to close the most critical gaps.
At CyberEdge Solutions (Australia), I reduced false positive rates by 25% and improved mean time to respond by 30% through structured detection engineering and rule tuning in a live production SOC.
Platforms I work with:
Microsoft Sentinel (KQL) · Splunk (SPL) · Wazuh · Security Onion
What I assess:
Detection rule coverage mapped against MITRE ATT&CK Navigator
False positive hotspots and tuning opportunities
Log source gaps what isn't being ingested
Dashboard relevance and alert fatigue analysis
Data ingestion cost vs. detection value
What you get:
MITRE ATT&CK heatmap of your current coverage (covered / partial / gap)
Top 5 detection gaps with risk rating
2–3 custom detection rules written for your environment (KQL or SPL with full syntax)
False positive reduction recommendations
90-day tuning roadmap
Certifications: CompTIA Security+ · ISC2 CC · Microsoft SC-900 · AZ-900
FAQs
Read-only access to your detection rule list, a log source summary, and dashboard exports. No write access required.
Yes. I have hands-on experience with Wazuh in both home lab and production environments, including custom rule development and decoder configuration.
A visual map showing which attacker techniques your detection rules currently cover and which ones have zero coverage. It makes your gaps immediately visible to both technical teams and management.
Yes. Each rule is tested in a lab environment matching your platform and delivered with commented syntax, data source requirements, and tuning notes.
Your SIEM was deployed to protect you. But if the detection rules haven't been mapped against MITRE ATT&CK, you have blind spots you don't know about and attackers do.
I review your entire SIEM deployment and deliver a gap analysis showing exactly where your coverage ends, what techniques you're not detecting, and custom-written rules to close the most critical gaps.
At CyberEdge Solutions (Australia), I reduced false positive rates by 25% and improved mean time to respond by 30% through structured detection engineering and rule tuning in a live production SOC.
Platforms I work with:
Microsoft Sentinel (KQL) · Splunk (SPL) · Wazuh · Security Onion
What I assess:
Detection rule coverage mapped against MITRE ATT&CK Navigator
False positive hotspots and tuning opportunities
Log source gaps what isn't being ingested
Dashboard relevance and alert fatigue analysis
Data ingestion cost vs. detection value
What you get:
MITRE ATT&CK heatmap of your current coverage (covered / partial / gap)
Top 5 detection gaps with risk rating
2–3 custom detection rules written for your environment (KQL or SPL with full syntax)
False positive reduction recommendations
90-day tuning roadmap
Certifications: CompTIA Security+ · ISC2 CC · Microsoft SC-900 · AZ-900
FAQs
Read-only access to your detection rule list, a log source summary, and dashboard exports. No write access required.
Yes. I have hands-on experience with Wazuh in both home lab and production environments, including custom rule development and decoder configuration.
A visual map showing which attacker techniques your detection rules currently cover and which ones have zero coverage. It makes your gaps immediately visible to both technical teams and management.
Yes. Each rule is tested in a lab environment matching your platform and delivered with commented syntax, data source requirements, and tuning notes.