AI Threat Intelligence

Overview

1. Effective threat intelligence is no longer about ingesting raw feeds — it's about transforming noise into precision signals. Our platform aggregates data from OSINT, dark web monitoring, commercial feeds, and internal telemetry, applying NLP and ML to extract, classify, and prioritise actionable indicators.
2. Natural Language Processing models parse threat reports, CVE advisories, and forum intelligence at scale — automatically extracting IOCs, TTPs (MITRE ATT&CK mapped), and adversary infrastructure from unstructured text in multiple languages.
3. Predictive threat actor profiling uses graph ML to map adversary relationships, infrastructure reuse patterns, and campaign timelines — enabling proactive hunting before an attack campaign reaches its final stage.
4. Automated enrichment pipelines correlate incoming IOCs against your asset inventory, vulnerability data, and historical incidents — instantly calculating business-relevant risk scores so analysts focus on what matters most.
5. Intelligence is delivered via structured STIX/TAXII feeds, direct SIEM/SOAR integrations, and human-readable executive briefs — ensuring every stakeholder receives intelligence in the format they need.

Services Include

• Multi-Source Threat Feed Aggregation & Normalisation
• NLP-Powered IOC Extraction from Unstructured Reports
• MITRE ATT&CK TTP Mapping & Adversary Profiling
• Dark Web & Deep Web Monitoring
• Automated IOC Enrichment & Contextualisation
• Graph ML Adversary Infrastructure Mapping
• Predictive Campaign Detection & Early Warning
• STIX/TAXII Feed Integration with SIEM & SOAR
• Vulnerability Intelligence & Patch Prioritisation
• Threat Intelligence Platform (TIP) Deployment & Management