The United States Federal Trade Commission (FTC) has issued a new Report on Big Data, entitled “Big Data: A Tool for Inclusion or Exclusion? Understanding the Issues,” to provide guidance to companies about their Big Data practices. While acknowledging the numerous issues associated with the use of Big Data, the FTC explicitly limited its focus to the commercial use of Big Data consisting of consumer information, and its impact on low-income and underserved populations.
The Commission explained:
[This Report] discusses the benefits and risks created by the use of big data analytics; the consumer protection and equal opportunity laws that currently apply to big data; research in the field of big data; and lessons that companies should take from the research. Ultimately, this report is intended to educate businesses on important laws and research that are relevant to big data analysis and provide suggestions aimed at maximizing the benefits and minimizing its risks.
The Benefits and Risks of Big Data
The FTC noted that Big Data analytics can benefit low-income and underserved populations by helping to target educational, credit, healthcare, and employment opportunities. Potential inaccuracies and biases, however, might lead to detrimental effects for those same people. Specifically, companies could use Big Data to exclude low-income and underserved communities from credit and employment opportunities.
The FTC urged companies to ensure that they have an understanding of consumer protection laws that might apply to their Big Data practices. The following laws were specifically highlighted and addressed in the Report:
– The Fair Credit Reporting Act (FRCA);
– Equal opportunity laws such as the Equal Credit Opportunity Action (ECOA), Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act, the Age Discrimination in Employment Act, the Fair Housing Act, and the Genetic Information Nondiscrimination Act; and
– The Federal Trade Commission Act.
Big Data Research
The commission noted research demonstrating the potential for “incorporating errors and biases at every stage — from choosing the data set used to make predictions, to defining the problem to be addressed through big data, to making decisions based on the results of big data analysis — which could lead to discriminatory harms.” In order to minimize the risk of harm and maximize the value of Big Data, the FTC encouraged companies to consider the following questions in connection with their use of Big Data:
– How representative was your data set?
– Does your data model account for biases?
– How accurate are your predictions based on Big Data?
– Does your reliance on big data raise ethical or fairness concerns.
The FTC urged companies to apply Big Data analytics in ways to provide benefits and opportunities to consumers, while “avoiding pitfalls that may violate consumer protection or equal opportunity laws, or detract from core values of inclusion and fairness.” The commission vowed to monitor for violations of law and to bring enforcement actions “where appropriate.”
The full FTC Report can be found here.
As we welcome in 2016, awareness of the variety of information-related risks confronting today’s enterprises, and the availability of insurance covering those risks, is at an all-time high. High-profile data breaches caused by hackers and negligent or non-compliant employees, ransomware attacks, and social engineering scams have motivated many companies to transfer some of their cyber risks with cyber insurance. But companies that also take steps to better manage their information assets not only improve their cyber risk profile; they also put themselves in a better position to secure more favorable cyber insurance coverage terms and rates.
What Is Cyber Insurance?
Cyber insurance is a relatively new and still evolving form of coverage designed to address the emerging information-related risks facing today’s companies. These risks include breach of privacy, failed network security, and media liability. Unlike more traditional forms of coverage, there are no standard cyber insurance policy forms, provisions, definitions, or exclusions.
First-party coverage under a cyber policy can be triggered by a variety of events that have become far too familiar to modern enterprises, including the malicious destruction of data, accidental damage to data, power surges, IT system failure, cyber extortion, viruses, and malware. Typical first-party coverages include legal and forensic services to determine whether a breach occurred and, if it has, to assist with regulatory compliance, costs to notify affected employees and/or third parties, network and business interruption costs, damage to digital data, repair of the insured’s reputation, and payment of ransom costs. Third-party coverage is available for legal defense costs, settlements, regulatory fines, and damages incurred after a cyber incident.
Cyber insurance typically provides for the retention of an attorney – a “breach coach” – to coordinate the insured’s response to a cyber incident. An experienced coach can build an effective team of specialists – basically, a cyber swat team – and efficiently guide the company through the forensic, regulatory, public relations, and legal issues that arise from a security incident. Given the complexities of the various laws pertaining to data breach notification, as well as the focus paid by regulators, the media, and the plaintiffs’ bar to data breaches, coverage for the retention of a skilled breach coach is perhaps the greatest benefit of cyber insurance.
Relying on a coach who has “been there and done that,” who knows the law and regulations, and who has relationships and credibility with the relevant regulators and law enforcement officials can help an enterprise successfully emerge from a cyber incident and avoid potentially catastrophic financial and reputational damage.
What Do Cyber Insurers Want to Know about Prospective Insureds?
Although there are no standard cyber insurance applications, cyber insurers generally, and rightly, focus on a prospective insured’s Information Governance policies and practices in the application process in order to decide whether or not to offer coverage, in what amount, and at what premium. Cyber insurers typically inquire into the following areas:
Many cyber insurance applications read like an Information Governance checklist and require companies to take a close look at how they’re managing their information assets throughout their entire lifecycle.
Good Information Governance policies and practices fit hand in glove with obtaining optimal cyber insurance coverage. Companies that get their information house in order and protect themselves with cyber insurance are in the best position to maximize the value of their data while mitigating their information-related risks.