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Milestones
Milestones
A timeline of the aSIEMmetry project's key achievements — from kick-off to final delivery across all Work Packages.
Project timeline
Follow the aSIEMmetry project from kick-off to final delivery. Each milestone below marks a key achievement across the five Work Packages, and its status updates automatically — completed, in progress or still ahead — as the project advances toward an operational Next-Generation SOC platform.
Kick-off meeting
Official project launch aligning all consortium partners on objectives, governance and the work plan.
AI Lab Infrastructure installed.
The Cybersecurity & AI Laboratory is provisioned, providing the environment for model development and testing.
“Security entropy” model services developed.
Core Security Entropy Framework services are built and made available for anomaly detection.
Project reports 1
First periodic report to the European Commission on technical progress, finances and management.
Enrich the model with feedback from SOC incidents and agent prompts.
The model is refined using real SOC incident feedback and agent-prompt data to improve accuracy.
Update network & assets collectors.
Network-traffic and asset-inventory collectors are updated to feed live SIEM/SOC data into the models.
Training for the “security entropy” model
The “security entropy” model is trained and optimised on operational SIEM and SOC datasets.
Training for the “LLM SOCagent”
The self-hosted LLM SOC agent is trained with cybersecurity knowledge to support analysts.
Intermediate project reports 2
Second periodic report documenting mid-project progress against objectives and milestones.
Intermediate dissemination report
Mid-term summary of communication, dissemination and stakeholder-engagement activities and their impact.
Produce list of evaluation uses case
A curated set of evaluation use cases is defined to assess AI-assisted SOC analyst capabilities.
Novel SOC dashboards
New AI-enhanced SOC dashboards are delivered to visualise entropy-based insights for analysts.
“Security entropy” CTI exchange
A mechanism to share entropy-based cyber-threat intelligence across SOC environments.
Finalize supervised training for self-hosted “LLM SOCagent”
Supervised training of the self-hosted LLM SOC agent is completed and validated for deployment.
Final project report
Closing report summarising the project's outcomes, results and overall achievements.
Project completion
December 2027From kick-off to final delivery, the aSIEMmetry consortium builds the next generation of AI-powered Security Operations Centres. Along the way the team provisions a dedicated Cybersecurity & AI Laboratory, develops the core Security Entropy Framework services for anomaly detection, and enriches them with real SOC incident feedback. Updated network and asset collectors feed live SIEM/SOC data into models that are trained and optimised on operational datasets, while a self-hosted LLM SOC agent is trained to support analysts. The project delivers novel AI-enhanced SOC dashboards and an entropy-based CTI exchange, validated against a curated set of evaluation use cases — culminating in a fully trained, operational Next-Generation SOC platform and a final report to the European Commission.