Intrusion and network anomaly detection
Identify abnormal network behaviors indicating cyberattacks using ML.
-50%
detection time reduction
The problem
No reliable steering on intrusion and network anomaly detection.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Operational and cyber risk is underestimated.
Prerequisites: required data & tools
Required data
- Logs réseau
- SIEM
- endpoints
- trafic
Compatible tools
- Darktrace
- CrowdStrike
- Vectra AI
- Elastic SIEM
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 6-9 months
In 6-9 months: Identify abnormal network behaviors indicating cyberattacks using ML. with measured impact on detection time reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for intrusion and network anomaly detection
Operational engine for intrusion and network anomaly detection
Steering dashboard with alerts
Action playbook and governance
Expert insight
Critical given rising cyberattacks on SMEs/ETIs. Often outsourced to an MSSP.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Governance Officer
Gouvernance AI/Data, contrôles Shadow AI, conformité AI Act/GDPR.
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Decision network mapping
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View case →Next steps
Pick the fastest path to move this use case forward.
Ready to solve this problem?
First step: a 30-minute call to understand your context.