Contextual data
Connect signals with a specific infrastructure asset.
DEFENCE · AI · DIGITAL TRUST
Threat Intelligence is Authify’s development direction for infrastructure data analysis. The goal is to identify changes earlier and support informed operator decisions.
THE USE CASE
Information from different sources becomes useful when it can be related to a specific asset and its normal behaviour. We are designing an approach connecting monitoring, change analysis and detection of deviations that need investigation.
Data sources, integrations and AI methods depend on the infrastructure and operating conditions. Real-time analysis is a development goal; latency and effectiveness must be measured for a specific use. Validation results are not yet published.
Connect signals with a specific infrastructure asset.
Development direction: identifying deviations from expected behaviour.
Clear information for an operator assessing the situation and response.
IN PRACTICE
First define the events of interest and available data sources. Real-time analysis is a development direction whose scope requires validation.
Evaluation should cover data quality, latency, false alarms and the operator’s role. An AI result is a signal for contextual review rather than independent proof of a threat.
HOW TO START
Choose a use case and describe the operational problem.
Define data sources and access requirements.
Agree on development scope and evaluation criteria.
FAQ
Here the name refers to planned infrastructure and operational risk analysis. It is not a claim of a ready-made cyber threat intelligence platform.
The described direction supports situational assessment. Automation and responsibility must be defined for the intended use.
Sources and integrations are part of the collaboration discussion. We do not claim ready-made support for every camera, sensor or system.
LET’S TALK
Describe your use case and requirements. We’ll agree on a next step.