AI Recognition

Patterns, anomalies, behaviours – large volumes of data often contain value that isn’t immediately apparent. With AI-driven recognition, PuurData helps you uncover those hidden insights. Whether it’s log data, documents or behaviour: our solutions highlight key indicators, enabling you to respond faster and more effectively.

AI Recognition is the ability of artificial intelligence to identify meaningful structures in data. This can range from detecting anomalous patterns in logs or metrics – for example, in security or observability – to automatically recognising concepts, themes, or sensitive information in documents. The classification of behaviour or input based on historical data also falls under this. Thus, AI helps you gain faster insight into what is normal, what deviates, and what requires action.

Security & SIEM

• Recognise abnormal behaviour in network logs
• Clustering of similar incident reports
• Prioritising threats based on pattern recognition

Observability and Monitoring

• Detect trends or capacity issues based on historical data
• Automate root cause analysis
• Compare performance with previous behaviour (predictive insight)

Document analysis and information retrieval

• Recognise entities, topics or sensitivities in documents
• Make information more easily accessible with smart categorisation
• Combine with Search AI for smarter unlocking

Content classification

• Images: automatically recognise objects, structures or abnormalities
• Documents: assign categories or sensitivity labels
• Data: classify based on content, behaviour or context

PuurData integrates AI Recognition directly into existing platforms such as Elastic, ClickHouse Okay Tines. Not a standalone tool, but a smart addition within your existing data stream. The recognition works transparently and is explainable: you see what the system does, and why. This way, you maintain control over the outcomes and the data. No black box, but clear insight – ready to be applied in dashboards, alerts, or AI-driven processes.