The Cyber Security Arms Race and How AI Is Changing the Battlefield

The Cyber Security Arms Race and How AI Is Changing the Battlefield

The Cyber Security Arms Race and How AI is Changing the Battlefield Dr. Ben Apple A Brief History of AI • AI was founded as an academic discipline in 1956 • Dartmouth College, in Hanover, New Hampshire, the term "artificial intelligence" was coined. • From 1974 to 1980 is a time known as the winter of AI • Unfulfilled promises and waning government interest resulted in reduced funding • Around 1980 there was an AI boom • British government started funding AI to compete with efforts by the Japanese. • 1987 saw the second AI Winter • Stock market collapse blamed on expert system trading • From 1993 to 2011 new interest in AI • 1997, IBM's Deep Blue became the first computer to beat a chess champion • 2011 to present day – The age of Deep Learning, Big Data, and General AI • 2011, Watson won Jeopardy by beating out the reigning champions • ChatBot beats the Turing Test • AlphaGo seen by many as the new dawn of AI • 2015 AlphaGo to beats a human Go master • 2016 AlphaGo beats Lee Sedol one of the top 5 Go masters in the world • 2017 AlphaGo beats Ke Jie the worlds number 1 Go master and is awarded the level of 9-Dan AI Under Attack • AI is not a Panacea • AI Cannot be eft to its own devices • The use of AI in Cyber Security requires a Hybrid Approach • AI will free our high value assets from the mundane • AI provides the predictive insight needed to head-off attacks before they occur The Emergence of AI in Cyber SEcurity • Machine learning and artificial intelligence (AI) are being applied more broadly across industries and governments. • This means new exploits and weaknesses can quickly be identified and analyzed to help mitigate further attacks. • If trained by the best AI can become the best. The Future Face of the Cyber Security Profession • The growing capabilities of artificial intelligence are triggering a battle across the cyber security fence – and organizations must act now to be on the right side of it. • Not only must organizations invest in preventative AI, but the government, at all levels, must continue to back the development of the next generation of technology professionals. • If we are going to be able to protect the crown jewels, we must invest in the cadre of future Cyber Security professionals, the adversaries are certainly investing in their cadre. • The need for a cyber security overhaul is necessary as the traditional practcises are no longer effective in identifying and preventing attacks. The Attackers Will Up Their AI Game • Software and Systems ae Complex, it is very near impossible to identify all vulnerabilities prior to release, creating a target rich environment for AI powered attackers. • The attackers are using AI to scan the Internet looking for possible targets • Then there is the weakest link in the chain, the human. • AI is being used to emulate human behaviors in phishing attacks. Insider Threat • AI is being effectively used to detect anomalous user behavior. • AI is well suited for tasks such as Sentiment Analyses, to identify possible disgruntled employees. We still need a human to make the actual judgement call. The Skills Gap • Centre for Cyber Safety and Education revealing that the world will face a shortfall of 1.8 million cyber security professionals by 2022. • AI can release these scarce resources from the mundane. • Preventive and Predictive AI will enhance the delivered value of the Cyber Seurity Professional. The Future • Recognize what machines do best and what people do best. • Use AI to do the repetitive, such as first pass log review. • Cyber Security Professionals use their minds to develop creative solutions to the hard problems. • AI acts as the inference engine that feeds the Cyber Security Decision makers. • AI will keep us the defenders ahead of the adversary, the attackers.

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