What does CUI mean for government agencies?
Prior to NARA’s implementation of the CUI cyber security protection framework,
government agencies employed ad hoc agency-specific policies, procedures, and
markings to safeguard and control all unclassified information that did not
meet the criteria required for classification. The rule was designed to
primarily safeguard sensitive government data that had not been assigned as
confidential or secret, whilst it was shared between different government and
commercial entities. But this confusing patchwork resulted in inconsistent
marking and safeguarding of documents, which led to unclear or unnecessarily
restrictive dissemination policies and created barriers to authorised
information sharing. Today, the CUI Program is a unified effort between
Executive Branch agencies to standardise protections and practices across
departments and agencies. It defines a central data classification policy for
the handling, safeguarding and dissemination of ‘sensitive but unclassified’
(SBU) government information. NARA maintains a public CUI registry reflecting
authorised CUI categories and subcategories, associated markings, and
applicable data safeguarding, dissemination, and decontrol procedures as data
moves through non-federal systems.
3 Reasons Many Of The World’s Most Booming Businesses Come From Humble Beginnings
Humble beginnings often require founders to reset their expectations, or even
adapt the way they work so they can deal with the unusual circumstances that
accompany starting their business in a garage or a small nook of their
apartment. Such circumstances teach flexibility and other valuable leadership
lessons in a way that starting in a cushy office never could. After all,
you’ll learn a lot more about flexibility if you’re starting out of a home
where your kids can come in and interrupt you at any given hour. This flexible
mindset can also improve your creative thinking and leave you more open to new
ideas. Studies have found that experts who practice humility actually become
more flexible as they acquire more knowledge. ... Writing for Idealist
Careers, Liz Peintner explains that such leaders “are especially effective in
cultivating strong social relationships, helpfulness, forgiveness, and social
justice amongst their team members; creating teams with more satisfied
employees who stay longer at the organization; leading well in
unpredictable situations by using a trial-and-error approach; and minimizing
negative feelings and intentions toward ‘out-group’ members, resulting in a
more inclusive work environment.”
Industry 4.0 and its impact on network architecture
Organisations will further benefit from strengthened flexibility and agility,
in addition to offering better customer service. Industry 4.0 enables
businesses to improve the service offered to customers with streamlined
experiences and more choice for consumers. Following this, companies can
achieve higher revenues and improved innovation opportunities, which will help
to ensure that they receive a significant return on investment. However, with
its benefits, businesses need to consider the challenges that derive from
Industry 4.0 adoption when looking to transition their business and its
operations. Organisations will need to evaluate the opportunity cost
associated with the fourth industrial revolution. There are two major costs to
review: technology and expertise. Having the understanding and knowledge of
newer technologies can often lead to budget constraints and businesses will
need highly skilled employees to manage the integration successfully. We have
seen a number of organisations launch Industry 4.0 initiatives, but more often
than not, a lack of direction and measurable objectives can lead to
failure.
The way we teach coding is all wrong. Here's how it needs to change
Hands-on experience will always be a deciding factor – though Lavenne
acknowledges that the majority of students will be lacking this by default.
Instead, he suggests university courses and coding programs encourage as much
project work as possible – which will at least help equip them with a working
knowledge the various components of the software development cycle. There are
also a handful of specific tools and technologies that Lavenne feels that
every aspiring developer should have under their belt. "Putting an emphasis on
JavaScript and TypeScript is important; Node.js is a moving force of the world
right now in web technologies and others. People have to start learning
TypeScript in school," he says. "On the skillsets for languages that are super
marketable; the technologies that are very marketable today are web and APIs.
Every single software engineer that will come out on the market will work with
APIs - they have to speak APIs, they have to speak JSON. XML is fading out
into the distance; the world is speaking JSON from computer to computer, and
REST APIs are everything."
Putting digital at the heart of strategy
Consider the early days of the commercial internet. In the late 1990s,
companies scrambled to launch websites, believing that having an online
presence would differentiate them and hoping to achieve a first-mover
advantage. But eventually, every company had a website. And companies
competed, as they always do, on the strength of their broader strategies. We
will see the same as companies embrace the digital pivots that support digital
enterprises. Cloud computing, automation, and artificial intelligence will not provide
meaningful differentiation in themselves. Instead, they will be the new
platform on which companies will compete. We see two major ways that digitally
driven strategies offer organizations the opportunity to succeed in the long
term. The first is by enabling resilience: the ability to thrive amid
uncertainty and change. The second is by driving differentiation: the ability
to deliver value that cannot be found anywhere else. We explore each of these
aspects below. To survive and thrive in an uncertain and rapidly changing
world, organizations will need to innovate at speed, keep pace with
technological and industry change, and cultivate greater resilience.
The Second Pillar of Trusted AI: Operations
One key aspect of designing a system around AI is recognizing that any model’s
predictions are probabilistic. For example, in binary classification, our
model makes predictions in the form of raw scores between 0 and 1. Based on an
optimized threshold, the model predicts either class 0 or class 1. However,
there are situations in which the model is not confident in a prediction – for
example, when very near to that optimized threshold, in a “low confidence”
region. There are other scenarios too when analyzing the scoring data or
prediction we may have reason to doubt the veracity of the model prediction.
So how do we translate this into real-time protection to ensure our model
makes safe and accurate decisions at the level of an individual prediction?
Using a set of triggers, such as identifying outliers or an unseen categorical
value, the system can take certain predefined actions to guard against
uncertain predictions. Consider a model that predicts whether or not an image
is a dog or a wolf. Perhaps the training data was authored by a photographer
using professional equipment. A new scoring image is taken by a different
photographer with much lower-quality equipment, resulting in a blurry, small
image.
Use Of Artificial Intelligence In Cyber Security
Since the known vulnerabilities in a System or Network or Databases are
difficult to manage, machine learning and AI processes such as User and Event
Behavioral Analytics (herein after referred to as “UEBA”) can observe all
kinds of behavior of User accounts and servers. Further, it can identify or
analyze any abnormal behavior that might gives a hint of a zero-day attack
which can be useful to preserve Companies or Organizations before any
vulnerabilities are formally reported and patched. UEBA solutions have 3 major
functioning as mentioned here below: UEBA uses ‘Data Analytics’ which in turn
utilizes data as per User’s behavior. Further, Statistical technique has been
utilized in order to detect abnormal or unusual behavior and then alert System
Administrators; UEBA uses ‘Data Integration’ includes that there will be data
comparison through numerous sources with the already existing Security
Systems; and UEBA uses ‘Data Presentation’ from which UEBA Systems tries to
communicate its findings and generate reports. It issues a request to Security
Analyst within an Organization to investigate unusual behavior.
The US pipeline attack shows the energy sector must act now on cybersecurity.
This threat environment is the new normal for oil and gas infrastructure.
Whether attackers are criminals motivated by financial gain or nation-state
actors playing geopolitics, digitized oil and gas infrastructure makes a
tempting target. Board members – and the information security officers they
hold accountable – should be preparing for frequent, sophisticated attacks to
be an ongoing operational risk. Even for industry leaders keenly aware of the
risks and trends facing the oil and gas industry, building robust
cybersecurity can be a daunting challenge. The World Economic Forum White
Paper Cyber Resilience in the Oil and Gas Industry: Playbook for Boards and
Corporate Officers provides a new blueprint to secure critical infrastructure
to help oil and gas industry leaders address cyber-risk and implement key
recommendations within their organizations, as well as to champion standards
across the energy ecosystem. This new playbook is a result of discussions and
collaboration of the World Economic Forum community of oil and gas industry
partners – including Siemens Energy and Saudi Aramco – that prompted and
produced a guide to help oil and gas industry leaders address cyber-risk and
implement key recommendations within their organizations, as well as to
champion as standards across the energy ecosystem.
Using Low-Code Tools in Enterprise Application Development
To ensure security of the applications that the low-code platform is building,
they must go through the same security checks just as any other application.
Even though some level of security, such as input validation, is baked into
most low-code development platforms, developers still need to pay a great deal
of attention to security issues and test for vulnerabilities. However, because
there is no visibility to what’s going on underneath, scanning the application
for security checks becomes tedious. The same features that make low-code
development so attractive to some organizations can bring challenges when it
comes to security. Creating enterprise applications also entails a large chunk
of integration. A low-code solution might be capable of handling things if a
developer follows a carefully constructed “happy” path. We are not talking
about relying on low-code solutions to simply integrate applications with
software-as-a-service (SaaS) applications and simple web APIs, however.
Enterprise apps often need to also connect with distributed systems, archaic
legacy applications, overly complex third-party APIs, commercial off-the-shelf
systems and much more.
AI and data science jobs are hot. Here's what employers want
Much of the problem boils down to a lack of appropriate skills among
applicants. More than two-thirds of businesses said they struggled to find
candidates with the right technical skills and knowledge, while a significant
minority of others (40%) reported a lack of work experience, as well as gaps
in industry knowledge. So, what exactly should candidates for AI and
data-science roles have on their CVs to convince future employers? Technical
skills, of course, are key: businesses said that they were in search of
applicants who understand AI concepts and algorithms, know programming skills
and languages, and are familiar with software and systems engineering. A
number of employers, said Ipsos, stressed the importance of deep learning in
specialist roles, and of the need for candidates to know how to go beyond
"low-level" AI. "We need people coming through the university system to learn
from first principles how to create deep learning, neural network systems,
rather than relying on off-the-shelf systems that are available through the
big US companies," said one micro-business owner.
Quote for the day:
"A leader has the vision and conviction that a dream can be achieved._ He
inspires the power and energy to get it done." -- Ralph Nader
