Most organizations have realized that threat prevention has limitations, so we have seen renewed focus on threat detection. But like most other security markets, the term threat detection has been distorted to cover almost everything. So we figure it’s time to clarify what threat detection is and how it is evolving to deal with advanced attacks, sophisticated adversaries, and limited resources.
Not to worry – we haven’t become the latest security Chicken Little, warning everyone that the sky is falling. Mostly because it fell a long time ago, and we have been picking up the pieces ever since. It can be exhausting to chase alert after alert, never really knowing which are false positives and which indicate real active adversaries in your environment. Something has to change. We need to advance the practice of detection, to provide better and more actionable alerts. This requires thinking more broadly about detection, and starting to integrate the various different security monitoring systems in use today.
Our Threat Detection Evolution paper starts by reviewing security data collection, including both internal and external data sources that can facilitate detection efforts. Next we discuss how to use that data ti reliably figure out what is an attack. We wrap up by going through th process, using a quick wins scenario to show the concepts in action.
We would like to thank AlienVault for licensing the content in this paper. Our unique Totally Transparent Research model allows us to do objective and useful research and still make ends meet, so you should thank them too.
Download: Threat Detection Evolution (PDF)
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