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Security teams struggle with many challenges. A shortage of signals is not one of them. At some point in the past decade, the threat intelligence domain became a volume game - more feeds, broader coverage, more indicators. A recent survey by Malanta found that most enterprises now operate five to eight feeds, with some managing as many as 53. Yet 100% of respondents identified the same breakdown point: connecting signals to real threats. Meaning - the problem is not volume. It is context. For example, a newly registered domain is a data point. A newly registered domain that shares certificate attributes with infrastructure previously used against financial services firms, and that resolves to an IP range scanning your customer portal - that is a priority data point. The difference between the two is not the data point itself. It is what the data point maps to. We call this contextual risk. It’s the difference between knowing a signal exists and knowing what it means for your organization. Without that distinction, teams sort through volume instead of acting on relevance. The signals that deserve immediate action often sit alongside hundreds that do not, and there is no reliable way to tell them apart.
This e-book provides a structured approach to making that distinction operational. It covers the setup window where attackers are most exposed, how to correlate pre- attack signals to what your organization stands to lose, and how to move from prioritization to action before the window closes.
