Today’s cybersecurity challenges remind me of “Frog and Toad” children stories, where Frog and Toad are debating how to stop eating all the cookies right away. They concoct a plan to put the cookies in a jar in a high cabinet where they can’t reach…easily. But someone can always reach. You can’t even trust yourself sometimes, so can you trust your buddy?
Cybersecurity concerns every facet of modern life, from children’s toys to self-driving automobiles and every consumer transaction. Cybersecurity threats will worsen with the Internet of Things, as millions and billions of sensors will collect and perform comparisons and data analytics to some data center. Analytics will help move from data chaos to predictive strategies.
Prudent risk management requires diversification of risk. Consumers and businesses alike need to use caution in approaching investments in sensors and IoT. Access rights to a sensor that combines sensitive personal data with controls for the household or factory would increase the risks of abuses by employees as well as hostile hackers.
The Department of Justice’s guidebook on anticipating and dealing with data security breaches (Best Practices for Victim Response and Reporting of Cyber Incidents, published April 29, 2015, http://1.usa.gov/1I0QxAl) highlights how every business needs to adopt prudent risk management, particularly supply chain risk management, in their business. As a contract attorney in technology businesses (and former high school wrestler), I am reminded of my coach’s advice: stick to the basics, and do them exceedingly well, and also anticipate your adversary’s expectations so you have a plan to defeat the “normal” expectation.
Today, private equity and venture capital (and strategic acquirers) are targeting cybersecurity companies for investment and acquisition. We all have to buy cybersecurity or be at risk of tremendous damage to brand goodwill, fines and even monitoring.
How much should private industry collaborate to deal with privacy challenges? On one hand the government is offering to share security risk data with private industry (See H.R. 1560, a bill to improve cybersecurity in the United States through enhanced sharing of information about cybersecurity threats (passed by the House of Representatives on April 22, 2015) and H.R. 1731, a bill to amend the Homeland Security Act of 2002 to enhance multi-directional sharing of information related to cybersecurity risks and strengthen privacy and civil liberties protections (passed by the House of Representatives on April 23, 2015). The ACLU opposes enhanced sharing as an invasion of civil liberties and inviting private abuses of shared information.
On the other hand, private industry can do that job without yielding data that could be abused. The flip side of security is the question of trust: whom can you trust, and for how long?
So, for business and consumers, it’s time to consider whether the hassles and additional marginal costs of encrypting data are a better investment than high-premium cyber-risk insurance, traditional loss prevention and recovery methods.
And, as a matter of information governance and Internet safety, every investment in cybersecurity would be wise. The simpler the better.
Showing posts with label Internet of Things. Show all posts
Showing posts with label Internet of Things. Show all posts
Tuesday, June 30, 2015
Strategic Minimal Investments in Cybersecurity and IoT
Labels:
Best Practices for Victim Response and Reporting of Cyber Incidents,
cybersecurity,
H.R. 1560,
H.R. 1731,
Internet of Things,
privacy
Monday, April 21, 2014
Big Data, Big Abuse Potential
SMAC, n. (1) a variation of crack-cocaine; (2) a highly addictive, volatile, potentially life-transforming multi-composite drug, sometimes used illegally, universally available in medicine, commerce, education, and family economics; (3) social, mobile, analytics and cloud computing; (4) Big Data.
On April 11, 2014, the U.S. Federal Trade Commission (FTC) announced a public “workshop” on September 15, 2014, to examine effects of Big Data on “low income and underserved consumers.” The workshop invites comments, reports, and original research to explore current practices in the uses of Big Data on high-income consumers and privacy rights generally. The FTC will explore concerns that been raised about whether Big Data may be used to categorize consumers in ways that may affect them unfairly, or even unlawfully. (For more info, visit their website.)
The workshop will address consumer protection issues that could result in new regulations or laws affecting virtually all companies (whether or not they are “tech companies):
• How are organizations using Big Data to categorize consumers?
• What benefits do consumers gain from these practices? Do these practices raise consumer protection concerns?
• What benefits do organizations gain from these practices? What are the social and economic impacts, both positive and negative, from the use of Big Data to categorize consumers?
• How do existing laws apply to such practices? Are there gaps in the legal framework?
• Are companies appropriately assessing the impact of big data practices on low income and underserved populations? Should additional measures be considered?
This workshop comes after the FTC examined privacy issues associated with big data practices in its 2012 report Protecting Consumer Privacy In An Era of Rapid Change: Recommendations for Businesses and Policymakers, and its ongoing examination of the data broker industry.
The proliferation of smart phones, tablets, intelligent mobile devices (including wristbands, headphones, automobiles and wearable telecom devices) and online social media have enabled the collection and analysis of huge datapoints. The Internet of Things will include sensors (some of which are mobile) that are collecting data streams in real time. Data brokers collect different related information that can be assembled into a mosaic of demographic information that might include race, religion, national origin, sex, sexual orientation, health conditions (subject to HIPAA), disability, veteran status and other commercially “relevant” criteria. Big Data thus enables the pinpoint analysis of individual conduct as well as the conduct of individuals according to demographic, geographical, financial, educational and economic variables.
The FTC is looking at issues of the use of insights from Big Data (including credit risk scores, demographic information and other assessments) for illegal purposes. While the FTC has been clear about potential abuses by financial institutions, the issues apply to all companies using Big Data.
Business executives (and law departments) should be asking how their own practices of collecting, analyzing and using Big Data might be abusive or illegal.
Now is a good time to conduct an internal review of your Big Data strategies.
• What criteria do you use for market segmentation? Consider how you use any Big Data (or direct customer data) in a manner that might discriminate against certain demographics in pricing, new product availability, service priority, credit card lines of credit, retirement account services, financial services, volume discounts, “early bird” or “favored customer” sales.
• What criteria do you use for making preferential offers? Do you limit access to “unfavored” customers in terms of access to higher quality products, services or content?
• What policies do you have that might create (intentionally or not) a “disparate impact” (which, under one theory of law enformceemnt, constitutes intentional wrongful discrimination)?
• Have you integrated your Big Data initiatives with your corporate social responsibility (CSR) and governance, risk management and compliance (GRC) programs.
On April 11, 2014, the U.S. Federal Trade Commission (FTC) announced a public “workshop” on September 15, 2014, to examine effects of Big Data on “low income and underserved consumers.” The workshop invites comments, reports, and original research to explore current practices in the uses of Big Data on high-income consumers and privacy rights generally. The FTC will explore concerns that been raised about whether Big Data may be used to categorize consumers in ways that may affect them unfairly, or even unlawfully. (For more info, visit their website.)
The workshop will address consumer protection issues that could result in new regulations or laws affecting virtually all companies (whether or not they are “tech companies):
• How are organizations using Big Data to categorize consumers?
• What benefits do consumers gain from these practices? Do these practices raise consumer protection concerns?
• What benefits do organizations gain from these practices? What are the social and economic impacts, both positive and negative, from the use of Big Data to categorize consumers?
• How do existing laws apply to such practices? Are there gaps in the legal framework?
• Are companies appropriately assessing the impact of big data practices on low income and underserved populations? Should additional measures be considered?
This workshop comes after the FTC examined privacy issues associated with big data practices in its 2012 report Protecting Consumer Privacy In An Era of Rapid Change: Recommendations for Businesses and Policymakers, and its ongoing examination of the data broker industry.
The proliferation of smart phones, tablets, intelligent mobile devices (including wristbands, headphones, automobiles and wearable telecom devices) and online social media have enabled the collection and analysis of huge datapoints. The Internet of Things will include sensors (some of which are mobile) that are collecting data streams in real time. Data brokers collect different related information that can be assembled into a mosaic of demographic information that might include race, religion, national origin, sex, sexual orientation, health conditions (subject to HIPAA), disability, veteran status and other commercially “relevant” criteria. Big Data thus enables the pinpoint analysis of individual conduct as well as the conduct of individuals according to demographic, geographical, financial, educational and economic variables.
The FTC is looking at issues of the use of insights from Big Data (including credit risk scores, demographic information and other assessments) for illegal purposes. While the FTC has been clear about potential abuses by financial institutions, the issues apply to all companies using Big Data.
Business executives (and law departments) should be asking how their own practices of collecting, analyzing and using Big Data might be abusive or illegal.
Now is a good time to conduct an internal review of your Big Data strategies.
• What criteria do you use for market segmentation? Consider how you use any Big Data (or direct customer data) in a manner that might discriminate against certain demographics in pricing, new product availability, service priority, credit card lines of credit, retirement account services, financial services, volume discounts, “early bird” or “favored customer” sales.
• What criteria do you use for making preferential offers? Do you limit access to “unfavored” customers in terms of access to higher quality products, services or content?
• What policies do you have that might create (intentionally or not) a “disparate impact” (which, under one theory of law enformceemnt, constitutes intentional wrongful discrimination)?
• Have you integrated your Big Data initiatives with your corporate social responsibility (CSR) and governance, risk management and compliance (GRC) programs.
Labels:
big data,
Internet of Things,
privacy,
sensors,
SMAC
Friday, April 19, 2013
Could an International Trade War on Privacy Rights for Online Businesses be Heating Up?
Privacy and data protection
are synonymous with the “good life” of e-commerce, when online businesses are
free to use consumer data with little restrictions. But with technological advances and the explosive
growth of e-commerce, this area invites extraterritorial regulation by foreign
governments across borders. I’m
concerned that this web of web regulations will be totally inconsistent,
unmanageable and lead to significant costs and lost opportunities for e-businesses. Consumer protection should not become a
mandate for imposing bureaucracy and “free” content management services.
EU Harmony. In January 2012, the EU announced proposed
reforms to its 1995 data protection rules in order to further strengthen online
privacy rights and regulate the enormous growth of data collection and
processing over the internet in this age of mobile and social computing, the
Internet of Things, Big Data and related analytics. In short, these reforms proposed:
- a single set of rules to apply across the EU and
its administration by a single national data authority within the home EU
country with the power to impose fines for non-compliance.
- In addition, EU people will have greater privacy
rights, including the “right to be forgotten” and the “right to port their
data” across service providers.
- EU rules would apply in cross-border transactions
for companies in non-EU countries handling services to EU citizens. Any serious data breaches would have to
be reported to authorities as soon as feasible within 24 hours. Additional costs would be incurred by
businesses.
Since then, some EU member
nations, major tech companies and other countries have criticized the proposal
as being too restrictive and a burdensome expense for (especially small)
companies.. Nevertheless, the EU
continues to move forward with an amended draft likely to happen later this
year with the objective of implementing a Regulation governing its member
nations in 2014.
American Federalism:
A Hodge Podge. In contrast, American
federal laws (see https://www.cdt.org/privacy/guide/protect/laws.php)
are generally weaker than European and other countries’ laws in the field of
consumer protection for data privacy and the “private life.” A year after the Obama administration called
for a draft of a consumer privacy bill of rights, none has been completed or
made public. There are no baseline privacy
laws protecting consumers. Instead there are sector specific privacy laws and self
regulated company privacy policies; consumer privacy laws vary by state (see http://www.ncsl.org/issues-research/telecom/state-laws-related-to-internet-privacy.aspx). Those who support this hodge podge of laws
insist that these methods encourage free commerce and growth of online
businesses.
New Balance: International Agreement or International
Chaos? There is no free lunch. My concern is that privacy laws will be so
onerous, complex and confusing that it will balkanize the Internet, preventing
cross-border transactions and increasing the hurdles for Internet entrepreneurship
of small and mid-sized businesses. Consumer
protection and data privacy laws will conflict with business, adding costs that
will have to be passed along to the consumer in the form of higher prices, more
advertising per view, and less innovation.
Should the EU adopt its proposed reforms independently, American
companies could find themselves subject to EU regulations when conducting
cross-border transactions with EU citizens even if there is no conflict with
American laws.
I believe that every nation
should have “baseline” privacy rules, including the US , but I wouldn’t go as far as the
proposed EU reforms. Businesses and/or
consumers alike have a:
- Right to know what data is being collected and
aggregated about them
- “right to be forgotten” but only where the user
pays the cost of undoing what the user posted “for free”
- copyright in posted content and a right to transfer
one’s post to other providers, for a reasonable porting fee
- right to know what data is known by a service
provider and the right to correct it.
The US and EU are set to
begin negotiations for a free trade agreement J une
2013. Hopefully common agreement on data
protection and privacy rules will be a part of it. More on this subject later.
Labels:
big data,
data breach,
data protection,
data protection authority,
EU,
Internet of Things,
Obama,
online,
privacy,
privacy policy,
right to be forgotten,
right to port,
trade war
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