4 Advances In Penetration Testing Practices In 2023
Penetration testing has evolved significantly over the past few years, with a
growing emphasis on mimicking real-life cyberattack scenarios for greater
accuracy and relevance. By adopting more realistic simulation strategies, pen
testers aim to emulate threats that an organization might realistically face in
their operational environment, thereby providing valuable insights into
susceptibilities and vulnerabilities. This approach entails examining an
organization’s infrastructure from multiple angles, encompassing technological
weaknesses as well as human factors such as employee behavior and resistance to
social engineering attacks. ... With cyber threats constantly scaling and tech
landscapes evolving at a rapid pace, automation enables organizations to
efficiently identify potential weaknesses without sacrificing accuracy or
thoroughness. Automated tools can expedite vulnerability assessment processes by
scanning networks for known flaws or misconfigurations while continuously
staying up-to-date with emerging threat information, significantly reducing
manual workloads for security teams.
Microservices vs. headless architecture: A brief breakdown
In general, the microservice-based approach requires that architects and
developers determine exactly which microservices to build, which is not an easy
task. Software teams must carefully assess how to achieve the best balance
between application complexity and modularity when designing a microservices
application. There are also few standards or guidelines that dictate the exact
number of individual microservice modules an application should embody. While
including too many microservices can add unnecessary development and operations
overhead as well as compromise the architecture's flexibility, a headless
architecture is much easier to design since there is still a clear definition
between the front and the backend. Division of responsibilities will remain much
clearer, and the relationship between components is less likely to get lost in
translation. A single microservice-based application can easily represent dozens
of individual services running across a complex cluster of servers. Each service
must be deployed and monitored separately because each one could impact the
performance of other microservices.
The Power Of The Unconscious Mind: Overcoming Mental Obstacles To Success
Bringing our unconscious mind into alignment and reconciliation with our
conscious mind requires a level of self-awareness that many people are unable
to achieve independently. Individuals who are struggling with achieving goals
and don’t know why may find it helpful to work with an objective outside
observer, such as a therapist or a professional coach, who can help them
identify thought and behavior patterns that may be holding them back from
advancing in work or life. Ultimately, to break out of these self-limiting
beliefs, it’s important to change one’s thinking, particularly in areas when
self-abnegating thoughts have been dominating our lives for far too long. When
I’m working with clients, I try to help them develop what’s called a “growth
mindset”—that is, an inherent belief in one’s own ability to constantly learn
new skills, gain new capabilities and improve. People who have a growth
mindset do not see failures as the end of the road, or as confirmation of the
self-limiting, critical beliefs they’ve internalized throughout their
lives.
How AI and advanced computing can pull us back from the brink of accelerated climate change
AI is one of the significant tools left in the fight against climate change.
AI has turned its hand to risk prediction, the prevention of damaging weather
events, such as wildfires and carbon offsets. It has been described as vital
to ensuring that companies meet their ESG targets. Yet, it’s also an
accelerant. AI requires vast computing power, which churns through energy when
designing algorithms and training models. And just as software ate the world,
AI is set to follow. AI will contribute as much as $15.7 trillion to the
global economy by 2030, which is greater than the GDP of Japan, Germany, India
and the UK. That’s a lot of people using AI as ubiquitously as the internet,
from using ChatGPT to craft emails and write code to using text-to-image
platforms to make art. The power that AI uses has been increasing for years
now. For example, the power required to train the largest AI models doubled
roughly every 3.4 months, increasing 300,000 times between 2012 and 2018. This
expansion brings opportunities to solve major real-world problems in
everything from security and medicine to hunger and farming.
Unleashing the Power of Data Insights: Denodo Platform & the New Tableau GPT capability
When the Denodo Platform and Tableau GPT are integrated, Tableau customers can
unlock several key benefits, including: Data Unification: The Denodo
Platform’s logical data management capabilities provide Tableau GPT with a
unified view of data from diverse sources. By integrating data silos and
disparate systems, organizations can access a comprehensive, holistic data
landscape within Tableau. The elimination of manual data consolidation
simplifies the process of accessing and analyzing data, accelerating insights
and decision-making. This significantly reduces the need for manual effort and
enhances efficiency in data management. Expanded Data Access: The Denodo
Platform’s ability to connect to a wide range of data sources means Tableau
GPT can leverage an extensive array of structured and unstructured data. With
connections to over 200 data sources, the Denodo Platform lets organizations
tap into a comprehensive, distributed data ecosystem as easily and simply as
connecting to a single data source.
Importance of quantum computing for reducing carbon emissions
Quantum computers have been an exciting tech development in recent times. They
are exponentially faster than classical computers which makes them suitable
for several applications in a wide variety of areas. However, they are still
in their nascent stage of development, and even the most sophisticated
machines are limited to a few hundred qubits. There is also the inherent
problem of random fluctuations or noise—the loss of information held by
qubits. This is one of the chief obstacles in the practical implementation of
quantum computers. As a result, it takes more time for these noisy
intermediate-scale quantum computers to perform complex calculations. Even the
most basic reaction of CO2 with the simplest amine, ammonia, turns out to be
too complex for these NISQs. VQE utilises a quantum computer to estimate the
energy of a quantum system, while using a classical computer to optimise and
suggest improvements to the calculation. One possible remedy to this problem
is to combine quantum and classical computers, to overcome the problem of
noise in quantum algorithms.
Master the small daily improvements that set great leaders apart
When people talk about authentic leadership, what they’re really looking for
is someone who practices what they preach. You don’t have to be successful at
everything you’ll ask others to try, but you’ll need to have tried it. You’ll
also need to understand how and when certain skills work, and when they don’t.
Consider making time to take care of yourself. We tell folks that it’s
important to take vacation time to recharge their batteries, but do we do the
same? I had a colleague who would take a big splashy vacation every year. He’d
make sure to tell everyone that there was no cellphone reception where he was
going for that week. The other 51 weeks of the year? He’d respond instantly to
all communications and always follow up with questions, sending messages day
or night, seven days a week. The clear subtext was that outside of
disappearing for one week a year, there was no expectation of taking time
away. His message about time away from the office rang hollow to everyone
around him. Great leaders make a point of disappearing often to take care of
themselves in visible ways.
Unleashing the Power of AI-Engineered DevSecOps
Implementing an AI-engineered DevSecOps solution comes with several potential
pitfalls that can derail the process if not appropriately managed. Here are a
few of them, along with suggestions for how to avoid them: Inadequate
Planning and Alignment with Business Goals: Ignoring the strategic alignment
between implementing AI-engineered DevSecOps and overall business goals can
lead to undesirable outcomes. Clearly define the business objectives and how
AI-engineered DevSecOps supports them. Outline expected outcomes and key
performance indicators (KPIs) that align with business goals to guide the
initiative. Neglecting Training and Upskilling: AI tools can be complex, and
without proper understanding and training, their deployment may not yield
desired results. Invest in training your teams on AI-engineered DevSecOps
tools and techniques. Ensure they understand the functionalities of these
tools and how to effectively use them. Upskilling your team will be crucial
for leveraging AI capabilities. Ignoring Change Management: Introducing AI
into DevSecOps is a significant change that can disrupt workflows and
resistance from the team members.
Scientists conduct first test of a wireless cosmic ray navigation system
It's similar to X-ray imaging or ground-penetrating radar, except with
naturally occurring high-energy muons rather than X-rays or radio waves. That
higher energy makes it possible to image thick, dense substance. The denser
the imaged object, the more muons are blocked. The Muographix system relies on
four muon-detecting reference stations above ground serving as coordinates for
the muon-detecting receivers, which are deployed either underground or
underwater. The team conducted the first trial of a muon-based underwater
sensor array in 2021, using it to detect the rapidly changing tidal conditions
in Tokyo Bay. They placed ten muon detectors within the service tunnel of the
Tokyo Bay Aqua-Line roadway, which lies some 45 meters below sea level. They
were able to image the sea above the tunnel with a spatial resolution of 10
meters and a time resolution of one meter, sufficient to demonstrate the
system's ability to sense strong storm waves or tsunamis. The array was put to
the test in September of that same year, when Japan was hit by a typhoon
approaching from the south, producing mild ocean swells and tsunamis.
Five Steps to Principle-based Technology Transformation
Enterprise architecture frameworks prescribe using a set of principles to
guide and align all architectural decisions within a particular environment.
But how does one get to that set of principles, and how does it help to
achieve some desired end state? Still, I believe in principles – chosen at the
right time, using the proper context. They are much like having values in life
– they allow you to test and focus decisions in complex environments; and
also, provide a mechanism to explain technology decisions to business people.
As principles guide decisions for future actions, they must ensure achievement
of the transformation goals. But how does one determine the starting point in
a complex environment, and how does one define the endpoint in the
ever-changing landscape? I found these questions very perplexing until I
realised that the success of a technology architecture is not about using any
specific system/solution – but more about the CHARACTERISTICS of the
environment – required by the Business to grow, prosper and achieve its
strategic objectives.
Quote for the day:
"Success is not a random act. It
arises out of a predictable and powerful set of circumstances and
opportunities." -- Malcolm Gladwell
No comments:
Post a Comment