Two Attacks for the Price of One? Defending Against Multi-Intent Malware

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Presented at InfoSecurityEurope 2019 by

Iko Azoulay

Malware engineers are diversifying their businesses with multi-intent malware, where a single successful compromise can open up multiple streams of revenue. In a sophisticated threat landscape where organisations are struggling to defend against single-intent malware, how can they survive this new class of attacks? In this session, Iko Azoulay, founder and CTO of empow, will discuss how organisations can automate malware and attacker intent classification (by leveraging AI and NLP) to detect, prioritise and remediate both known and unknown threats early in the “diversification process,” so they can put them out of business before they can cause harm.Learning Outcomes:How multi-intent malware works and what it’s trying to achieve, so they can better defend against it. How to prioritise alerts based on NLP classifications and cause-and-effect analytics methods Best practices to automate advanced forensics search using machine learning methodsHow to use artificial intelligence, and natural language processing, to effectivity automate integration of threat intelligent platforms in order to build proactive security postures.Real-world examples of how organisations are battling multi-intent and other advanced malware using an intent-based security strategy.