MXDR for Google Cloud

Finding the Right Managed SIEM Solution
Managed SIEM vs. Home Security
Selecting a Security Information and Event Management (SIEM) solution can feel a lot like choosing a home security system. Each option offers different levels of coverage and response.
For instance, a basic home alarm might only notify you when a door is opened. More advanced setups add perimeter alarms, motion detectors, and cameras. At the highest level, some systems even dispatch a security guard to investigate and take action on your behalf.
SIEM solutions follow a similar model:
- Basic protection – A simple alarm that notifies you when a door opens. In SIEM terms, this is a firewall-tied solution that only alerts on suspicious network traffic.
- Expanded monitoring – Adding motion detectors and cameras. For SIEM, that means visibility across your full perimeter, cloud environments, and remote sites.
- Internal detection – Intrusion sensors inside the house. In SIEM, this is host- and network-based intrusion detection to catch threats that slip past the perimeter.
- Intelligence-driven response - A guard dispatched to investigate and act. For SIEM, this is where automation and threat intelligence work together.
SIEM Maturity Levels
Future Proofing
Imagine that you bought your home security system and then thieves figured out new ways of accessing your valuables. As fast as the digital threat actors move its important the SIEM you decide upon has been future proofed. This means making sure your SIEM choice includes these key features:
- Cloud-native architecture & scalability
- Advanced analytics & threat detection
- Open integration & interoperability
- Threat intelligence & contextual enrichment
- AI-driven investigation & response
- Resilience & future adaptability
Traditional SIEM vs AI-Optimized SIEM
Category | Traditional SIEM | AI-Optimized SIEM |
---|---|---|
Data Normalization | Basic parsing of logs, often vendor-specific formats | Full normalization into open schemas (e.g., OCSF, ECS) for consistency across sources |
Data Enrichment | Limited enrichment (IP lookup, threat intel) | Deep enrichment at ingest (user identity, asset criticality, geolocation, risk scores) |
Noise Handling | High volume of duplicate/noisy alerts, manual filtering needed | Deduplication, suppression, and event quality scoring to reduce false positives |
Time Handling | Logs kept in source timezones, correlation challenges | Unified, normalized timestamps (NTP sync, UTC normalization) for reliable sequencing |
Data Storage | Flat or unstructured storage, often expensive and slow at scale | Schema-rich, columnar or data lake storage optimized for querying and ML pipelines |
AI/ML Readiness | Minimal support for exporting clean datasets | Native support for feature extraction, UEBA baselines, and integration with ML frameworks |
Real-Time Processing | Batch-oriented, high latency on alerts | Stream-based processing for real-time inference (low-latency anomaly detection) |
Model Lifecycle | Static rules and correlation searches only | Ability to import/update ML models, with support for monitoring drift and retraining |
SIEM and Compliance
Compliance requirements often mandate monitoring and alerting, making SIEM a critical tool for organizations. The level of monitoring needed, however, depends on the specific compliance framework and the depth of any third-party audit.
Some insurers may only ask whether a system exists; others adjust your premiums based on the sophistication of your setup. Similarly, compliance assessors require the presence of monitoring, or they may examine the quality and depth of your SIEM capabilities before granting approval.
Determining the Right Solution
Choosing the right SIEM should be a risk-based decision. Evaluate:
- The potential impact of different threats.
- The likelihood of those threats occurring.
- How the proposed solution reduces those risks.
Then balance your analysis against cost and compliance requirements. Once you’ve narrowed the field, use a weighted evaluation rubric so the most important critical categories carry the most weight. This ensures you’re comparing solutions on what matters most to your organization.
Conclusion
Not all SIEM solutions are created equal. An expensive platform with poor fit leaves you with more alerts, not more protection.
At Foresite, we help organizations align SIEM selection with their risk, compliance, and operational priorities. With a structured process and practitioner-led expertise, you can deploy a solution that satisfies auditors, strengthens security posture, and supports your mission.
Example Weighted Rubric
The rubric below illustrates how different SIEM solutions can be evaluated by weighted categories. Adjust categories and scores to reflect your priorities.
Category |
Weight (%) |
Provider A |
Provider B |
Provider C |
Category 1 |
20% |
4 |
3 |
5 |
Category 2 |
30% |
5 |
4 |
3 |
Category 3 |
15% |
3 |
5 |
4 |
Category 4 |
25% |
4 |
5 |
3 |
Cost (Category 5) |
10% |
3 |
4 |
5 |
Total |
100% |
4.05 |
4.20 |
3.75 |
Ready to Put This into Practice?
Contact a Foresite expert to discuss how our practitioner-led team can help you select and implement a Google SecOps-powered SIEM that scales with your mission.
