The article explores how to design and implement a cyber intelligence early warning system, conceived as a “radar” capable of detecting weak threat signals before they materialise. By mapping critical assets, integrating diverse sources (OSINT, dark web, internal telemetry, and commercial feeds) and applying risk prioritisation models such as FAIR, the system translates raw information into targeted alerts with high operational impact. A logical architecture is outlined, combining data collection, advanced analysis, continuous feedback loops for constant refinement, and compliance with key regulatory frameworks (GDPR, NIS2, and the Budapest Convention). The article also highlights the role of key metrics (MTTD, MTTR) and the sharing of intelligence with trusted communities, ISACs, and CERTs to amplify early warning capabilities and strengthen organisational resilience.
Open Source Intelligence (OSINT) has evolved into a critical pillar of proactive cyber defence, enabling organisations to detect, analyse, and respond to emerging threats before they materialise. By leveraging publicly available information from diverse digital environments (including the dark web, social media, and technical repositories) predictive OSINT empowers cyber intelligence teams to anticipate attack patterns, identify vulnerabilities, and mitigate risks in real time. This approach not only strengthens security postures but also provides a decisive competitive advantage, allowing entities to stay ahead of adversaries in an increasingly complex and volatile threat landscape.
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