Cyber Intelligence-Driven Risk. Richard O. Moore, III

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      Library of Congress Cataloging-in-Publication Data

      Names: Moore, Richard O., III, 1971- author.

      Title: Cyber intelligence-driven risk : how to build and use cyber intelligence for business risk decisions / by Richard O. Moore III, MSIA, CISSP, CISM.

      Description: Hoboken, New Jersey : John Wiley & Sons, [2021] | Includes bibliographical references and index.

      Identifiers: LCCN 2020035540 (print) | LCCN 2020035541 (ebook) | ISBN 9781119676843 (cloth) | ISBN 9781119676911 (adobe pdf) | ISBN 9781119676898 (epub)

      Subjects: LCSH: Business enterprises—Security measures. | Data protection. | Cyber intelligence (Computer security) | Risk management.

      Classification: LCC HD61.5 .M66 2021 (print) | LCC HD61.5 (ebook) | DDC 658.15/5–dc23

      LC record available at https://lccn.loc.gov/2020035540

      LC ebook record available at https://lccn.loc.gov/2020035541

      Cover Design: Wiley

      Cover Image: © whiteMocca/Getty Images

      Knowing is different from doing, and therefore theory must never be used as norms for a standard, but merely as aids to judgment.

       – Carl von Clausewitz

      OVER THE past decade, organizations have continued to acquire technologies and monitoring systems, and have focused technology personnel only on protecting the organization's external perimeters and forgetting simple cyber hygiene. What is missing from many organizations is how cyber intelligence knowledge is leveraged to enhance business risk decision-making processes. This book is a body of work that is consistently evolving to meet new cyber risks, address the lack of cyber-skilled individuals, and provide more efficient processes to enhance the cyber defensive posture of an organization. The CI-DR™ program we will be discussing here is about building or enhancing an “intelligence capability” (i.e. cyber) that is traditionally missing during risk management conversations and business strategies. Where business risk management is a common practice, the cyber intelligence component is emergent in how operational risk can discuss the velocity and impact to business risk management and provide a distinctive outcome regarding strategy. We believe that building the connective tissues of cyber intelligence and business risk management by outlining capabilities and functions into a cohesive program creates significant business value. We call that collection the Cyber Intelligence–Driven Risk (CI-DR™) methodology.

      CI-DR does not change how traditional business intelligence (BI) operates but provides a framework for cyber intelligence enhancements that benefits current BI functions and provides the intersection with operational risk management. Having each of these capabilities operating as part of the connective tissue ecosystem enhances business decision structures. Terms such as “risk intelligence,” “network intelligence,” and “cyber threat intelligence” have been around since 2008. However, these concepts have not been consistently implemented to harness and leverage the information required for today's business decisions. Excluding some of the Fortune 100 companies, many have done little to adopt cybersecurity risks or cyber intelligence “knowledge” into their business risk management objectives. Those companies continue to focus the majority of budgets on purchasing new technology to try and enhance their security posture, but are consistently finding failure in that process.

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