Making Data Proactive to Manage Risk
Using advanced tools and technology, statistical sampling of data offers a
better approach than archaic data indexing. Data sampling, via AI-based
segmentation, meets the demands of regulators and other authorities. By
statistically sampling data, it can be made more proactive to facilitate risk
management with a methodical approach. AI-based segmentation or sampling
collects representative data and allows for the development of models across a
wide range of data classification use cases. Such sampling provides a way to
statistically home in on the vulnerable areas within your data fabric and
iteratively test for risk and compliance. It is efficient and effective means of
reducing overall risk, in less time and at less cost. The Census Bureau uses
sampling by using selective demographic records and drawing inferences on a
population. Manufacturers have used statistical quality control to selectively
sample widgets to determine, with confidence, that the quality of a population
of manufactured parts met specification, without checking every single
widget.
It’s official: Digital trust really matters to everyone online
Given that almost everyone surveyed indicated their appreciation of digital
trust, it is not surprising that it is considered a priority. The typical
respondent commenced work on digital trust two to three years ago, making 75%
(or more) progress so far with expectations of reaching complete trust within
the next one to two years. Arguably, however, digital trust is more of a journey
than a destination, given the constantly shifting nature of the threat
environment. The fear of customer attrition directly translates into a digital
trust goal: customer loyalty. Other goals (which contribute to customer loyalty)
include reducing security issues, meeting regulatory, legal and compliance
obligations with reduced cost, and improving brand perception. Achieving digital
trust improvements isn’t without its challenges. Topping the list of obstacles
is managing digital certificates, rated as important by 100% of enterprises.
Regulatory compliance and handling the scope of what they are protecting was a
close second at 99%. Complexity rounds out the difficulties faced (securing
dynamic, multi-vendor networks isn’t easy), while a lack of staff expertise is
also cited.
Turning Points in AI and ML
When one couples the technology capabilities of AI/ML solutions with the
practical ends they may evolve to serve, the potential examples multiply
quickly. Think about the job of content moderator in a social media
environment, which requires not only discrete judgment, but also attention to
detail at tremendous speed and volume. Today, bots can screen text for certain
terms and expressions. But tomorrow’s may be able to monitor sentiment,
understand contexts outside the immediate content, or evaluate non-text
expressions, like videos or photos. In a contact center environment, you can
“trip up” a present-day bot by trying to stray from its trained area of
knowledge. That’s because today’s conversational bots learn from other
conversations. Tomorrow’s will learn from the world of unstructured inputs
around them, as people do, so they’ll keep up with you no matter where you
steer the conversation. Natural language understanding and large language
models will translate that into unfettered interaction and follow up with
required action that’s instantly and automatically informed by relevant data
wherever it resides.
Developers Should Celebrate Software Development Being Hard
Software development is too hard for people to do who don’t enjoy software
development. This is good news because it means anyone not committed will give
up because they will find it too difficult to coast in. Developers are put
under intense pressure to deliver quickly and to constantly learn new
technology. Developers who don’t enjoy software development will give up
because it's too hard. The difficulty of software development reduces the
number of developers, despite it being a well-paid job with good career
options. The number of good developers is small because it's easier to be a
bad developer than a good developer. ... If you are a developer who enjoys
software development, take a moment to thank the software gods. Low code
software development will increase the number of developers, but it won’t
increase the number of good developers because most people don’t understand
how software development works. The harder development is, the fewer
developers who can do it well. This makes those developers valuable.
3 Lessons Entrepreneurs Can Learn From The Rise and Fall of History's Biggest Companies
The second lesson is that entrepreneurs can still beat out larger companies
even if they lack the same connections to power. History shows that "right"
can often beat "might." ... Energetic commitment and talent will beat
resource-rich rivals, as long as entrepreneurs pick their fights wisely. There
are two reliable ways of spotting opportunities to do so. First, as companies
get bigger, even well-managed ones must leave opportunities on the table —
market segments or product opportunities too small or too different for them
to do well in or focus on. These often provide windows of opportunity for
small players. Today's small markets can become tomorrow's large markets. ...
Finally, in assessing today's large companies, it's important to remember that
their success usually came from a basic entrepreneurial achievement combined
with an organizational mindset. As entrepreneurs grow their businesses, they
should be mindful of the competencies they have developed and remain intent on
building new ones over time. New competencies — fueled by innovation — will
likely increase their trajectory in growth and value.
Is Your Wi-Fi Router in the Wrong Spot? Here's How to Tell
Routers send the signal out in all directions, so if it's left in the corner
of your home, a significant percentage of your wireless coverage is being sent
outside your home. That's why your best bet is to move the router to a central
location to optimize the signal. Installing a router across the house from the
modem may prove troublesome. It may require manually running an especially
long CAT5 or CAT6 Ethernet cable under the floor or along the bottom of your
walls, or enlisting the help of power line network adapters, which use your
home's electrical wiring to pass an internet signal from point to point. But
the improved wireless coverage will be worth it. ... Routers tend to spread
their strongest signals downward, so it's best to mount the router as high as
possible to maximize coverage. Try placing it high on a bookshelf or mounting
it on the wall in an inconspicuous place. Search online, and you'll find lots
of custom wall mounts built for specific routers, like this stick-up mount for
the Eero Pro 6 mesh router. If you're struggling to find a good, elevated
spot, something like that could be a great solution.
Avoid other
electronics
Why data engineers are key to becoming a true digital leader
A common misconception among enterprise business leaders is that their
data-driven ambitions will be realised by hiring data scientists. Data
scientists are, of course, a crucial part of a data-driven business. Their
ability to unearth interesting and unusual data patterns, and develop
predictive and analytical models, helps to discover new solutions that can
lead to positive outcomes such as cost-saving. However, data scientists are
not purely driven by business goals. Instead, they are motivated by
experimentation. If not managed appropriately, this can hinder data projects
as data scientists search for solutions that the business may not want to
implement. Data engineers, on the other hand, are responsible for
translating data insights into technical and data requirements to directly
meet business objectives. Unlike data scientists, data engineers are firmly
focused on driving a business’s overall data strategy forward. This can
include assisting with the performance of analytics projects, authorising data
for different audiences, and ensuring data governance for regulation
compliance.
UN to Hold Hearing on Proposed Cybercrime Treaty
The proposed treaty identifies cybercrime as any "criminal offenses committed
intentionally and illegally" over IT devices. It further lists a variety of
criminal activities that are deemed illegal. These include activities such as
illegal access, network interference, tampering of hardware or software that
results in the compromise of critical infrastructure or leak of confidential
government data, among others. By identifying and clearly defining what
constitutes various cybercrimes, the treaty seeks to provide a legal basis for
states to prosecute potential offenders, which may range from sophisticated
nation-state hackers to employees who illegally access sensitive government
data. The draft proposal further spells out measures that states can adopt
such as granting law enforcement agencies the right to collect data in real
time, seize devices used for cybercrime activities, coordinate with
intelligence agencies, as well as assist victims of various cybercrimes.
We’re a Long Way From a Passwordless Reality
A passwordless future sounds fantastic, but passwords will remain a backup
authentication method until passwordless technologies mature. Few websites are
currently compatible with passwordless authentication. The majority of
websites will need to continue to store passwords because decades will pass
before every user has the hardware and software they need to use passwordless
authentication. Even in the Windows-advertised world of passwordless setup
passwords still matter, particularly as a backup method. The latest Windows
release breaks the Windows Hello biometrics and PIN setup that users already
count on for passwordless authentication. Last September, Microsoft said
commercial users of Microsoft apps and services, such as Outlook, OneDrive,
and Microsoft Family Safety, could remove the password from their Microsoft
accounts entirely. But, Windows 11 release version 22H2 breaks the Windows
Hello authentication technology. Windows users can experience Windows Hello
sign-on failures with face recognition, fingerprints, and PINs.
How to improve your incident response plan for 2023
Many organizations are confident in the existence of their incident response
plan (IRP), but they are often not entirely sure what to do with it. A
threat-specific IR playbook can offer easily accessible guidance during the
chaos of incident response and is a vital element of an IR plan. When a
cybersecurity incident happens, you’re scrambling to understand what’s being
harmed or stolen, and not knowing where to begin can exacerbate the damage.
Using your playbook as a set of IR standard operating procedures (SOPs) can
define the roles and responsibilities of each IR team member as well as
other key stakeholders within the company and keep everyone on the same
page. For instance, the IR team will determine that passwords need to be
changed during the containment of a ransomware incident, but to understand
which passwords need to be changed or other required actions, they could
consult the playbook for quicker resolution. These incidents call for “all
hands on deck”, but for things to run smoothly, everyone must know their
individual roles and the roles of others, including who the critical point
of contact for each workstream is.
Quote for the day:
“A real entrepreneur is somebody who
has no safety net underneath them.” -- Henry Kravis
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