Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Google Gemini (security learning model)
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
The purpose of the processing is to assess and communicate security incidents and take action.
Considerations
Respond appropriately to possible security weaknesses that third parties may exploit without authorisation to harm the municipality. And respond to a possible misjudgement of a security weakness, resulting in equipment or employees being (temporarily) excluded from IT services.
Human intervention
Research Assistant can help answer questions, summarise events, detect threats, create rules and recommend actions.
Playbook Assistant can help create roadmaps for actions to be taken, customise configurations and incorporate best practices.
Risk management
Outcomes leading to priority 1 and 2 for the municipality are passed to a human to assess the algorithm. This human assessment is done by the Cyber Fusion Centre team of the municipality's Generic Security Services Department.
Legal basis
Legitimate interest
Impact assessment
Operations
Data
System logging of Assets, network and user profiles.
Technical design
Data collected by Accenture.
Google Gemini (secLM) supports the security monitoring process to correlate and, where possible, provide automated responses to emerging security alerts based on existing playbooks and/or security use cases.
Security teams can search for additional context, better understand campaigns and tactics of possible threats, initiate response sequences and receive guided recommendations on next steps - all using natural language.
External provider
Link to code base
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- Publication category
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- Impact assessment
- Field not filled in.
- Status
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