This excerpt from FinTech: The Technology Driving Disruption in the Financial Services Industry by Parag Y. Arjunwadkar explains the basic of blockchain and then reviews how Fintechs are adopting blockchain for security and transparency.
Wednesday, December 20, 2017
Tuesday, December 12, 2017
2018 Industrial IoT Predictions
Paul Myer, CEO, Veracity Industrial Networks makes these predictions about the industrial IoT for 2018:
There will be a nation-state
cyber-attack on our critical infrastructure in 2018
There has been an increase
in the number of attacks on our nation’s infrastructure, such as our power
grid. Now, these systems are secure and we have not seen a widespread attack be
successful, but as the old saying goes, the bad guys only have to be “right”
once; those defending these institutions have to be “right” every time.
In October, the DHS and FBI
warned that the nuclear, energy, aviation, water and critical manufacturing
industries have been targeted along with government entities in attacks dating
back to at least May. They also reported that some of those hackers were
successful in compromising the networks. All this evidence points to an
increasing risk that an attacker will be successful in the near future.
The “industrial
cybersecurity” space will see record investment in 2018
Cybersecurity has been
attracting significant investment for years now, however the bulk of that
investment has been in the traditional “IT security” world where the most
action is. During 2018, we expect to see a shift where more investment goes
toward companies addressing the industrial cybersecurity needs that are
becoming critical.
The industrial side of
cybersecurity has lagged the “IT security” world in development of tools and
procedures. Reliance on “air-gapping” as a security measure has run its course.
This will bring a new group of industrial cybersecurity-based solutions looking
for investment. We predict that investment will be large and immediate.
The lack of trained
cybersecurity personnel will become acute in 2018
There has been considerable
discussion about the lack of trained cybersecurity professionals and the issue
this causes. The growth of our cybersecurity needs has far outpaced the development
of training programs and the number of new experts we are creating. Things will
be worse before they get better and 2018 will likely shine a light on this
intellectual shortfall.
This “shortage” will be more
acute in industrial networks as there are less training options for those
professionals. Also, the lack of viable networks security tools on the
industrial network side make the actions of trained network security
professionals all the more important.
The “ransomware” business
model will be applied to more hacks
The advent of “ransomware”
attacks, where your data is held hostage by a hacker that has compromised your
computer until you pay a ransom. This new revenue source for today’s cyber
criminals has broadened the targets for hackers geometrically. Suddenly,
companies and individuals that house no data suitable for sale on the dark web
have become targets. Locking up a grandmother’s photos could produce revenue
now.
Part of the ransom phenomena
is made possible by the anonymous nature of bitcoin as a currency. We predict
that hackers will spread the ransomware business model to the industrial space
by holding parts of OT/ICS networks hostage, in 2018.
Monday, December 11, 2017
The Top Game Changing Data Trends for 2018
The
Convergence of Data Management Technologies, Growth of Metadata
Management and the Increased Focus on AI Make Up the Most Impactful
Trends for 2018
NAPERVILLE, Ill. (PRWEB)
November 14, 2017 -- Infogix today identified
pivotal data trends that will impact businesses in 2018 and beyond.
“Metadata management and ensuring data privacy
for regulations such as GDPR joins earlier trends like AI and IoT, but
the unexpected trend of 2018 will be the convergence of data management
technologies,” said Emily Washington, senior vice president of product
management at Infogix. “Big data has been the next big technology
phenomenon for a long time, but businesses are increasingly evaluating
ways to streamline their overall technology stack if they want to
successfully leverage big data and analytics to create a better customer
experience, achieve business objectives, gain a competitive advantage
and ultimately, become market leaders.”
The top data trends for 2018 were assembled by
business leaders at Infogix who have decades of experience in
information technology. The major trends include:
2018: The Year of Converging Data Management Technologies
- Use cases have proven that leveraging data requires a multitude of separate tools for tasks like data quality, analytics, governance, data integration, metadata management and more.
- To extract meaningful insights and increase operational efficacy, businesses will increasingly demand flexible, integrated tools to enable users to quickly ingest, prepare, analyze, act on, and govern data—while easily communicating insights derived.
Increased Importance of Data Governance
- The deluge of data is growing, government regulations are increasing and teams have much greater access to data within an organization. Add to this the increasing need to leverage advanced analytics, and data governance has become more critical than ever.
- Data governance capabilities have evolved in a way that provides complete transparency into a business’s data landscape—allowing them to combat increasingly complex regulatory and compliance demands and the shifting tides of business policies and business alignment.
The Continued Rise of the Chief Data Officer (CDO)
- In today’s data-intensive environment, a CDO is more important than ever to navigate regulatory demands, successfully leverage data and manage enterprise-wide governance.
- A CDO helps businesses manage unstructured and unpredictable data, while successfully leveraging advanced analytics and maximizing the value of data assets across the business enterprise.
Ensuring Data Privacy for Regulations such as the General Data Protection Regulation (GDPR)
- When GDPR goes into effect in May 2018, it will strengthen and unify data protection rules for all organizations processing personal data for European Union (EU) residents.
- Through analytics-enabled data governance, a business can not only locate personal data enterprise-wide, but monitor compliance, usage, approvals, and accountability across the organization.
The Proliferation of Metadata Management
- Metadata is a growing trend for 2018. This “data about data” contains the information necessary to understand and effectively use data such as business definitions, valid values, lineage, and more.
- Using such ontologies, organizations can understand the relationship between data sets, as well as enhance discoverability in metadata. Metadata management is critical in enterprise data environments to support data governance, regulatory compliance and data management demands.
The Monetization of Data Assets
- Organizations recognize that data is either a liability or an asset. Metadata can be used to enable a deeper understanding of the most valuable information.
- We are seeing more organizations using a combination of logical, physical, and conceptual metadata to classify data sets based on their importance, and businesses can apply a numerical value to each data classification, effectively monetizing it.
The Future of Prediction: Predictive Analytics to Improve Data Quality
- With the continued concerns with data quality, and the volumes of data increasing, businesses are enhancing data quality anomaly detection with the use of machine-learning algorithms.
- By using historical patterns to predict future data quality outcomes, businesses can dynamically detect anomalies in data that might otherwise have gone unnoticed or only found much later through manual intervention.
IoT Becoming More Real
- Each passing year marks an increase in the number of connected devices generating data and there is a steep rise in focusing on extraction of insights from this data.
- We are starting to see more and more defined IoT use cases leveraging data—from newer connected devices like sensors, and drones for analytics initiatives. With this, there is a growing demand for streaming data ingestion and analysis.
“As more data is generated through
technologies like IoT, it becomes increasingly difficult to manage and
leverage. Integrated self-service tools deliver an all-inclusive view of
a business’s data landscape to draw meaningful, timely conclusions,”
said Washington. “Full transparency into a business’s data assets will
be crucial for successful analytics initiatives, addressing data
governance and privacy needs, monetizing data assets and more as we move
into 2018.”
2018 Security Predictions: It's Still the Wild, Wild West
The last US presidential election revealed the dangers and the difficulties of prognostication. But that doesn't deter those determined to look ahead at what we may face in 2018. We reached out to several security mavens to learn what worries them about the coming year. It's interesting how broad their concerns are, and how little they overlap. Yes, 2018 will be an interesting year. You can read the predictions here.
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