Cyber Defense eMagazine August Edition for 2021

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Taking AI from Pilot to Proficiency By Al Ford, Federal AI Alliances Manager, Dell Technologies The Federal government is prioritizing artificial intelligence investments, and new research highlights steps to continue to move AI initiatives forward. In March 2021, the National Security Commission on Artificial Intelligence (NSCAI) published a report recommending Federal leaders double research and development spending for AI each year, targeting $32 billion by fiscal year 2026. Additionally, in June, the White House announced the creation of the National Artificial Intelligence Research Resource Task Force, which will write the road map for expanding access to resources and educational tools. The goal is to spur AI innovation and economic prosperity nationwide. AI capabilities offer new opportunities to enhance operations, derive value from data, and more. One significant opportunity is the potential to use AI to mitigate cyber threats – to understand anomalies and respond quickly enough to contain a threat. Cyber Defense eMagazine – August 2021 Edition 108 Copyright © 2021, Cyber Defense Magazine. All rights reserved worldwide.
However, new research finds almost three-quarters of Federal agencies are struggling to grow localized AI projects beyond the pilot stage. A lack of AI-ready infrastructure presents a formidable hurdle, according to the study. In a study underwritten by Dell Technologies and NVIDIA, MeriTalk surveyed Federal IT decision makers on AI plans and progress. Despite challenges, Federal IT pros are bullish on AI – 87 percent say operationalizing AI is a cornerstone to achieving a digital-first government. Overcoming the AI Challenge While there is momentum, 85 percent of Federal IT leaders agree government can do more to embrace AI technologies, specifically at the network’s edge, where so much data is collected. Many agencies have not taken the key steps needed to establish a foundation for widespread AI integration; citing challenges with data center-level security, power consumption, and lack of systems management expertise. The majority – 81 percent – say their agency needs help understanding what an AI-ready compute infrastructure looks like. To move forward, agencies can evaluate their “AI maturity” and consider steps needed, which may include modernizing networks, upgrading storage capabilities, investing in high-performance computing, and expanding scalable cloud solutions, the report shared. Additionally, agencies are evaluating the skill sets needed – integrating more data scientists, engineers, and others with AI-related expertise. Many are hosting or considering AI training courses to upskill the workforce, and working with industry partners who offer needed AI implementation and analysis skills. AI at the Network’s Edge Federal leaders see a wide variety of applications for AI at the network’s edge, including Internet of Things (IoT) deployments, intelligent video analysis, and sensor technology applications. All bring new opportunities to transform systems and Federal missions. To continue to evolve capabilities at the edge, agencies can focus on the essentials – a comprehensive data strategy and supporting infrastructure and skillsets. This includes upgrading and rethinking storage, committing to high-performance computing, and leveraging cloud across the agency. Unlocking AI’s Potential Federal IT leaders say their agencies are striving to achieve enterprise-wide AI proficiency in the next three to four years, citing the opportunity to improve cyber threat protection, enhance operational efficiency, and improve analytics. Agencies can learn from Federal AI leaders whose agency’s AI proficiency is “ahead of the AI curve.” Their organizations report advanced data maturity – implementing agency-wide data management and governance and using data as a high-value asset (42 percent versus 28 percent of their peers). The leaders are also significantly more likely to say that federated learning, a machine learning approach that computes at the device itself using local data, is one of their agency’s top AI priorities (90 percent versus 64 percent). Cyber Defense eMagazine – August 2021 Edition 109 Copyright © 2021, Cyber Defense Magazine. All rights reserved worldwide.
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Hacktivism One often-overlooked cyb
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