Security Business

MAR 2019

Find news and information for the executive corporate security director, CSO, facility manager and assets protection manager on issues of policy, products, incidents, risk management, threat assessments and preparedness.

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Page 38 of 109

March 2019 / / Security Business 37 Hype will abound, as it typically results from over-excitement and misunderstand- ings around impressive technology breakthroughs; thus, the impact of these signifi- cant changes will be hard to digest initially, partly because hype will hinder clarity. e role of AI in shaping the way we live and work, and the way organizations – including governments –operate, spurred Stanford University's 100 Year Study on Artificial Intelligence initiative, which includes AI Index reports from 2016, 2017 and 2018 (available at According to e 2017 report, "Without the relevant data for reasoning about the state of AI technology, we are essentially 'flying blind' in our conversations and decision-making related to AI." For several years we have heard a lot about AI in the security industry – including machine learning and deep AI's Effect on the Security Industry Take a closer look at some of the ways artificial intelligence is transforming the functionality of security technology and services: • AI will underly most products inside and outside the security industry; in fact, in the next five years, we will see what looks like 20 years of technology progress. • Most AI will be subscription-based and drive significant integrator RMR. • AI-based and AI-enhanced products will become the primary means of integrators transitioning to the "as-a-service" model. • The "learning" part of machine learning will be an important way for integrators to add value. • AI is pushing cloud computing technology – both hardware and software – to the edge. • It will be a contest as to which video analytics dominate – security-focused or business- focused – as both will have many breakthroughs. • AI can be cloud-based, on-premise or a hybrid of both – with hybrid likely the most common. • Other-industry AI advancement will fuel AI advancement in the security industry. • Containerization (serverless computing) will be used for efficiency and rapid scalability, enabling the same AI code to work on-site and in the cloud. • Amazon, Azure, Facebook and Google Cloud will be big players, with strong developer communities; while Intel, Dell and NVIDIA will foster AI deep learning product development. • Software-defined computing and network infrastructure will work best. • There is a high degree of multi-vendor product collaboration around product development. • Open source software will play a big role in video analytics products and services. • Strong product cybersecurity will be paramount, as hackers will shift to AI-based malware. • The privacy of AI-generated information will be a common user concern. • AI software developer communities are broad and fast-growing, and will continue to expand.

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