Workshop + Deployment Tune-Up - Free for a Limited Time*

Google SecOps Audit (Deep Technical Review)

A quantified, scorecard-style assessment of your Google SecOps deployment using Netenrich’s proprietary health-scoring engine.

We generate an overall operational score along with weighted module scores across ingestion, detection, MITRE coverage, capacity, rule health, and operational maturity.

Most Google SecOps deployments by the enterprises score between 30–60. Netenrich helps you reach an operational score of 80/100+ where the platform becomes stable, predictable, and high-value.

The audit provides deep evaluation across:

• Ingestion & Data Plane Assessment – parser health, ingestion efficiency, validation errors
• MITRE ATT&CK & Kill Chain Coverage Analysis – complete coverage graph, blind spots, high-priority technique gaps
• Detection & Rule Health Analysis – rule quality, stale rules, missing context, MITRE mappings
• Curated Detection Capacity Optimization – capacity usage vs available curated rule sets
• Operational Health & Continuous Improvement – alert behavior, rule age distribution, MTTR impact
• Compliance & SLA Value View – Compliance coverage, SLA performance, industry threat alignment

Google SecOps Value Realization Workshop

After completing the audit, we walk your team through the findings, clarify objectives, and align on improvements.

We cover:

• Expected vs actual security outcomes
• The biggest contributors to noise, blind spots, or inefficiency
• Breakdown of coverage, detection gaps, SOAR failures, and dashboard issues
• What matters most for your environment (Top 2–3 priorities)
• A roadmap for rapid value realization and operational stability

Deployment Tune-Up (Engineering Execution)

We apply targeted engineering improvements across Data Engineering, Detection Engineering, and Response Engineering. The sample tune-up coverage includes:

Data Engineering

• Apply parser updates & fix validation errors
• Improve ingestion quality & UDM attribute relevancy
• Validate MITRE context extraction

Detection Engineering

• Improve detection-to-log source correlation
• Enhance coverage & tune high-value YARA-L rules
• Clean up deprecated rules & implement exclusion logic
• Review curated detections & identify rule enhancement opportunities

Response Engineering

• Improve SOAR playbook reliability
• Validate playbook efficacy and response behavior
• Reduce mean-time-to-respond across workflows

This is where customers typically experience immediate and measurable stability improvements.