2018 Government Cybersecurity Report
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Seven Steps to a Forever Safe Cipher
International Journal on Advances in Security, vol 11 no 1 & 2, year 2018, http://www.iariajournals.org/security/ 91 RMDM – Further Verification of the Conceptual ICT Risk-Meta-Data-Model Verified with the underlying Risk Models of COBIT for Risk and COSO ERM 2017 Martin Latzenhofer 1 2 Gerald Quirchmayr 2 1 Center for Digital Safety & Security 2 Multimedia Information Systems Research Group Austrian Institute of Technology Faculty of Computer Science, University of Vienna Vienna, Austria Vienna, Austria email: [email protected] email: [email protected] Abstract— The aim of this article is to introduce an approach to initialize and re-establish the risk management that integrates the different models and methods currently frameworks and related processes each time. It is evident that applied for risk management in information and these parameters result in a smaller degree of reusability of a communication technologies (ICT). These different risk given risk management process and less comparability of the management approaches are usually bound to the organization information obtained from it. where they are applied, thus staying quite specific for a given When interpreting this problem as a pure ICT issue, an setting. Consequently, there is no possibility to compare or explicit ICT solution is required. This leads to the main reuse risk management structures because they are individual research question of this paper, i.e., whether it is possible to solutions. In order to establish a common basis for working develop a common risk management model, which is with different underlying risk models, a metamodeling approach from the area of disaster recovery is used. -
Cyber Resiliency Metrics, Measures of Effectiveness, and Scoring
M T R 1 8 0 3 1 4 Approved for Public Release; MITRE TECHNICAL REPORT Distribution Unlimited. Public Release Case Number 18-2579 Cyber Resiliency Metrics, Measures of Effectiveness, and Scoring Dept. No.: T8A2 Project No.: 5118MC18-KA The views, opinions and/or findings contained in this report are those of The MITRE Corporation and should not be construed as an official government position, policy, or decision, unless designated by Enabling Systems Engineers and Program other documentation. Approved for Public Release; Distribution Managers to Select the Most Useful Unlimited. Public Release Case Number 18- 2579 Assessment Methods NOTICE This technical data was produced for the U. S. Government under Contract No. FA8702- 18-C-0001, and is subject to the Rights in Technical Data-Noncommercial Items Clause Deborah J. Bodeau DFARS 252.227-7013 (JUN 2013) Richard D. Graubart ©2018 The MITRE Corporation. All rights reserved. Rosalie M. McQuaid John Woodill Bedford, MA September 2018 Abstract This report is intended to serve as a general reference for systems engineers, program management staff, and others concerned with assessing or scoring cyber resiliency for systems and missions; selecting cyber resiliency metrics to support cyber resiliency assessment; and defining, evaluating, and using cyber resiliency measures of effectiveness (MOEs) for alternative cyber resiliency solutions. Background material is provided on how cyber resiliency scores, metrics, and MOEs can be characterized and derived; based on that material, a wide range of potential cyber resiliency metrics are identified. Topics to address when specifying a cyber resiliency metric are identified so that evaluation can be repeatable and reproducible, and so that the metric can be properly interpreted. -
Piper Jaffray Cybersecurity Earnings Update
Piper Jaffray Cybersecurity Earnings Update Third Quarter 2017 Marc Steifman Greg Klancher Co-Head of Technology Principal Investment Banking Piper Jaffray & Co. Piper Jaffray & Co. MINNEAPOLIS | BOSTON | CHICAGO | HOUSTON | LONDON | LOS ANGELES | NEW YORK | SAN FRANCISCO | ZÜRICH Piper Jaffray Companies (NYSE: PJC) is an investment bank and asset management firm headquartered in Minneapolis with offices across the U.S. and in London, Zurich and Hong Kong. Securities brokerage and investment banking services are offered in the United States through Piper Jaffray & Co., member NYSE and SIPC, in Europe through Piper Jaffray Ltd., authorized and regulated by the Financial Conduct Authority, and in Hong Kong through Piper Jaffray Hong Kong, authorized and regulated by the Securities and Futures Commission. Asset management products and services are offered through three separate investment advisory affiliates registered with the U.S. Securities and Exchange Commission: Advisory Research Inc., Piper Jaffray Investment Management LLC and PJC Capital Partners LLC. Piper Jaffray & Co., Member SIPC and FINRA 11/17 Piper Jaffray Case Study: Vista Equity Partners acquires majority stake in Jamf Vista Equity Partners: Undisclosed . Vista Equity Partners is a U.S.-based investment firm with more than $30 billion in cumulative capital commitments, currently invests in software, data and technology-enabled organizations. The firm invests in middle market management and leveraged buyouts, growth and acquisition Has purchased a majority financing, recapitalizations, private transactions, spin-outs and corporate divestitures. stake in . The firm was founded in 2000 and is headquartered in Austin, Texas. Jamf: . Jamf focuses on helping businesses, education and government organizations succeed with November 2017 Apple through its Jamf Pro and Jamf Now solutions. -
Collected from the Internet That Internet the from Collected Data of Off Based Profile Risk a Builds Score Risk Cyber FICO’S “FICO® Cyberriskscore,”FICO,2019
TABLE OF CONTENTS 4 Overview 6 General Methodology Bibliography Entries 7 Frameworks & Scorecards 8 Barrett, Matthew P. (2018). Framework for Improving Critical Infrastructure Cybersecurity 1.1 8 Freund, Jack and Jack Jones (2014). Measuring and Managing Information Risk: a FAIR approach 8 Information Systems and Control Association (2019). Cobit 2019 8 International Organization for Standardization (2018). ISO/IEC 27000 family - Information security management systems 9 Center for Information Security (2019). Cybersecurity Tools 9 Global Cyber Alliance (2019). GCA Cybersecurity Toolkit for Small Business 9 European Telecommunications Standards Institute (2019). TC Cyber 9 Information Security Forum (2018). The ISF Standard of Good Practice for Information Security 2018 10 SWIFT (2019). SWIFT Customer Security Control Framework 10 BSA (2019). BSA Framework for Secure Software 10 American Public Power Association (2019). Cybersecurity Scorecard 10 BitSight (2019). BitSight Security Ratings 10 FICO (2019). FICO® Cyber Risk Score 11 F-Secure (2019). THE CYBER SECURITY Stress Test 11 NormShield (2019). The Comprehensive Cyber Risk Scorecard 11 NormShield (2019). The Rapid Cyber Risk Scorecard 11 RiskLens (2019). Risk Portfolio 11 Security Scorecard (2019). Security Scorecard 11 UpGuard (2019). BreachSight 11 Upguard (2019). VendorRisk 12 Cyber Insurance Metrics 13 European Union Agency for Network and Information Security (2016). Cyber Insurance: Recent Advances, Good Practices & Challenges 13 Böhme, Rainer and Galina Schwartz (2010). Modeling Cyber-Insurance: Towards A Unifying Framework 13 Marotta, Angelica et al. (2017). Cyber-insurance survey 13 Pal, Ranjan et al. (2014). Will Cyber-Insurance Improve Network Security? A Market Analysis 14 ROI/ROSI 15 European Union Agency for Network and Information Security (2012). Introduction to Return on Security Investment 15 Brangetto, Pascal and Mari Kert-Saint Aubyn (2015). -
Redefining & Strengthening IT Governance Through Three Lines Of
Redefining & Strengthening IT Governance through Three Lines of Defense Presented by Ronke Oyemade, CISA, CRISC, PMP CEO, Principal Consultant, Strategic Global Consulting L.L.C Introduction • Brief Introduction of the Presenter. • Session Presentation: ‘Redefining & Strengthening IT Governance through Three Lines of Defense” This session takes a different and practical approach to strengthening IT Governance by applying the three lines of defense model. This approach adopts the use of Risk IT and Cobit as frameworks through which the three lines of defense model is implemented. The session gives an overview of the three lines of defense model, Risk IT and Cobit frameworks and provides practical application of them to the IT environment of a fictitious enterprise. • Benefits obtained from this session. Agenda 1. Use of IT and IT Risk 2. IT Governance: Overview and Importance 3. Overview of Three Lines of Defense, Risk IT and Cobit Framework 4. Three Lines of Defense Model 5. What is the relationship between Risk IT Framework and Cobit Framework 6. How do the Risk IT Framework and Cobit fit into the Three Lines of Defense Model 7. First Line of Defense 8. Second Line of Defense 9. Three Line of Defense Use of IT and IT risk • What is the importance of IT? • Why is IT Risk? What is IT risk? • IT risk is business risk and a component of overall risk universe of the enterprise. • IT-related risk is a component of other business risks IT risk as Business Risk Enterprise Risk StrategicStrategic RiskRisk EnvironmentalEnvironmental MarketMarket -
IS.010-Sdr-Information Security Risk Management
Commonwealth of Massachusetts Executive Office of Technology Services and Security (EOTSS) Enterprise Security Office Information Security Risk Management Standard Document Name: Information Security Risk Effective Date: October 15th, 2018 Management Last Revised Date: July 15th, 2020 Document ID: IS.010 Table of contents 1. Purpose ..................................................................................................................... 2 2. Authority .................................................................................................................... 2 3. Scope ........................................................................................................................ 2 4. Responsibility ............................................................................................................ 2 5. Compliance ................................................................................................................ 2 6. Standard Statements ................................................................................................. 3 6.1. Information Security Risk Management .............................................................. 3 6.2 Information Security Training and Awareness .................................................... 8 7. Control Mapping ........................................................................................................ 9 8. Document Change Control ........................................................................................ 9 Information -
The Legality of Securityscorecard Data Collection European Market Edition
The Legality of SecurityScorecard Data Collection European Market Edition SecurityScorecard.com 214 West 29th St, 5th Floor [email protected] New York, NY 10001 ©2018 SecurityScorecard Inc. 1.800.682.1707 Executive Summary SecurityScorecard delivers security ratings that empower enterprises to instantly and accurately monitor, assess and understand their own cybersecurity posture as well as the cyberhealth of all vendors and business partners in their ecosystems. SecurityScorecard does not collect or use personal data or other personal information related to its product offerings, which limits the applicability of the General Data Protection Regulation (GDPR) to its B2B operations. However, as part of its alignment with best business practices, SecurityScorecard is committed to compliance with GDPR and all applicable U.S. federal regulations, including the Federal Trade Commission (FTC) Act, the Computer Fraud and Abuse Act, and the Electronic Communications Privacy Act, which dictate how SecurityScorecard acquires, uses and discloses data. Since SecurityScorecard engages with clients in heavily regulated industries that are subject to GDPR and U.S. federal laws on personal data privacy, the company also focuses on requirements of laws that impact customers and how those laws apply to its own business operations. SecurityScorecard believes it is critical to be responsible, transparent and compliant with applicable global and federal laws, and respectful of third-party notices and agreements regarding data collection, storage and aggregation. SecurityScorecard understands that the collection and protection of data in accordance with applicable laws and identified best practices is not only a legal requirement but is also key to business success and of paramount importance to customers. -
Cyber Risk in Advanced Manufacturing Cyber Risk in Advanced Manufacturing
Cyber risk in advanced manufacturing Cyber risk in advanced manufacturing 1 2 3 4 5 6 7 8 9 10 11 Contents 1 Executive summary 3 2 Executive and board-level engagement 14 3 Talent and human capital 22 4 Protecting intellectual property 30 5 Inherent risks in industrial control systems 34 6 Implications of rapidly evolving connected products 40 7 Cyber risk in the industrial ecosystem 44 8 The changing nature of the cyberthreat landscape 46 9 Conclusion 50 10 Endnotes 51 11 Authors and acknowledgements 52 2 Cyber risk in advanced manufacturing Executive summary 1 2 3 4 5 6 7 8 9 10 11 Technologies utilized to drive the business are likely • Emerging risks likely to materialize as a result of rapid Manufacturers drive to include complex global networks, a myriad of back technology change office business applications, generations of different • An assessment of leading strategies manufacturers are extensive innovation in industrial control systems (ICS) controlling high-risk employing to address these types of cyber risks products, manufacturing manufacturing processes, and a variety of technologies directly embedded into current and emerging products. To that end, Deloitte and MAPI launched the Cyber Risk process, and industrial Further, manufacturers continue to drive extensive in Advanced Manufacturing study to assess these trends. innovation in products, manufacturing process, and We conducted more than 35 live executive and industry ecosystem relationships industrial ecosystem relationships in order to compete organization interviews, and in collaboration with Forbes in a changing global marketplace.1 As a result, the Insights, we collected 225 responses to an online survey in order to compete manufacturing industry is likely to see an acceleration in exploring cyber risk in advanced manufacturing trends. -
The Anatomy of Cyber Risk*
The Anatomy of Cyber Risk* Rustam Jamilov Hélène Rey Ahmed Tahoun London Business School London Business School London Business School September 2020 PRELIMINARY AND INCOMPLETE. Abstract Despite continuous interest from both industry participants and policy makers, empirical research on the economics of cyber security is still lacking. This paper fills the gap by constructing comprehensive text-based measures of firm-level exposure to cyber risk by leveraging machine learning tools developed in Hassan et al.(2019). Our indices capture such textual bigrams as "cyber attack", "ransomware", and "data loss", span 20 years of data, and are available for over 80 counties. We validate our measures by cross-referencing with well-known reported cyber incidents such as the Equifax data breach and the “NotPetya” global ransomware attack. We begin by document- ing a steady and significant rise in aggregate cyber risk exposure and uncertainty across the Globe, with a noticeable deterioration in sentiment. The fraction of most- affected firms is gradually shifting from the US towards Europe and the UK. From virtually zero exposure, the financial sector has grown to become one of the most af- fected sectors in under ten years. We continue by studying asset pricing implications of firm-level cyber risk. First, in windows surrounding conference call announce- ments, we find direct effects of cyber risk exposure on stock returns. Furthermore, we also find significant within-country-industry-week peer effects on non-affected firms. Second, we document strong factor structure in our firm-level measures of exposure and sentiment and show that shocks to the common factors in cyber risk exposure (CyberE) and sentiment (CyberS) are priced with an opposite sign. -
Managing Cybersecurity Risk in Government: an Implementation Model
IBM Center for The Business of Government Managing Cybersecurity Risk in Government: An Implementation Model Rajni Goel James Haddow Anupam Kumar Howard University Howard University Howard University Managing Cybersecurity Risk in Government: An Implementation Model Rajni Goel Howard University James Haddow Howard University Anupam Kumar Howard University MANAGING CYBERSECURITY RISK IN GOVERNMENT: AN IMPLEMENTATION MODEL www.businessofgovernment.org TABLE OF CONTENTS Foreword . 4 Introduction . 5 Enterprise and Cybersecurity Risk Management . 7 Nature of Cybersecurity Threats . 10 Frameworks to Manage Cybersecurity Risk . 13 Cyber Risk in the Federal Sector . 16 Gaps in Managing Cyber Risk in the Federal Sector . 18 Elements Necessary in a Cyber Risk Framework: A Meta-Analysis . 21 Decision Framework for Cybersecurity Risk Assessment: The PRISM Approach . 24 Implementing the PRISM Decision Model . 27 Summary . 35 Appendices . 36 About the Author . 49 Key Contact Information . 51 Reports from the IBM Center for The Business of Government . 52 3 MANAGING CYBERSECURITY RISK IN GOVERNMENT: AN IMPLEMENTATION MODEL IBM Center for The Business of Government FOREWORD On behalf of the IBM Center for The Business of Government, we are pleased to present this report, Managing Cyber Risk in Government: An Implementation Model, by Rajni Goel, James Haddow, and Anupam Kumar of Howard University. The increased use of technologies such as social media, the Internet of Things, mobility, and cloud computing by government agencies has extended the sources of potential cyber risk faced by those agencies . As a result, cyber is increasingly being viewed as a key component in enterprise risk management (ERM) frame- works . At the same time, agency managers encounter the challenge of imple- menting cyber risk management by selecting from a complex array of security controls that reflect a variety of technical, operational, and managerial perspectives . -
Industrial Iot, Cyber Threats, and Standards Landscape: Evaluation and Roadmap
sensors Review Industrial IoT, Cyber Threats, and Standards Landscape: Evaluation and Roadmap Lubna Luxmi Dhirani 1,2,*, Eddie Armstrong 3 and Thomas Newe 1,2 1 Confirm Smart Manufacturing Research Centre, V94 C928 Limerick, Ireland; [email protected] 2 Department of Electronic and Computer Engineering, University of Limerick, V94 T9PX Limerick, Ireland 3 Johnson & Johnson, Advanced Technology Centre, University of Limerick, V94 YHY9 Limerick, Ireland; [email protected] * Correspondence: [email protected] Abstract: Industrial IoT (IIoT) is a novel concept of a fully connected, transparent, automated, and intelligent factory setup improving manufacturing processes and efficiency. To achieve this, existing hierarchical models must transition to a fully connected vertical model. Since IIoT is a novel approach, the environment is susceptible to cyber threat vectors, standardization, and interoperability issues, bridging the gaps at the IT/OT ICS (industrial control systems) level. IIoT M2M communication relies on new communication models (5G, TSN ethernet, self-driving networks, etc.) and technologies which require challenging approaches to achieve the desired levels of data security. Currently there are no methods to assess the vulnerabilities/risk impact which may be exploited by malicious actors through system gaps left due to improper implementation of security standards. The authors are currently working on an Industry 4.0 cybersecurity project and the insights provided in this paper are derived from the project. This research enables an understanding of converged/hybrid cybersecurity standards, reviews the best practices, and provides a roadmap for identifying, aligning, mapping, converging, and implementing the right cybersecurity standards and strategies for securing M2M Citation: Dhirani, L.L.; Armstrong, communications in the IIoT. -
Scoring Methodology
Table of Contents Cybersecurity Ratings 3 What do Scores Mean? 3 Factor Scores 4 Cybersecurity Signals 5 Signal Processing Workflow 14 Signal Collection 15 Attribution Engine 15 Cyber Analytics 17 Scoring Engine 17 Scoring Methodology 17 Size Normalization 18 Calibration Process 20 Calculating Factor Scores 20 Calculating Total Score 21 Breach Penalty 22 Keeping the Scoring Framework Current 22 Calibration Cadence 23 Industry Comparisons 23 Collaboration with End Users Validation 24 Limitations 25 FAQ 26 Cybersecurity Ratings The rise of the internet and its global role in e-commerce, business operations, communications, and social media, has created both opportunities and risks. While it can fuel economic growth and speed up the dissemination of news and ideas, the existence of vulnerabilities in commonly used software products and services, and poor adherence to recommended security practices can expose organizations to significant financial and reputational harm at the hands of malicious actors - including both individuals and nation-states. SecurityScorecard evaluates Cybersecurity ratings provide a means for objectively organizations’ security profiles monitoring the security hygiene of organizations and non-intrusively, using an gauging whether their security posture is improving or ‘outside-in’ methodology. This deteriorating over time. The ratings are valuable for approach enables vendor risk management programs, determining risk SecurityScorecard to operate at premiums for cyber insurance, credit underwriting and scale, measuring and updating financial trading decisions, M&A due diligence information, executive-level reporting, and for self-monitoring. cybersecurity ratings daily on Cybersecurity ratings and the extensive information on more than one million which they are based are also helpful for assessing organizations globally compliance with cybersecurity risk standards.