Quote for the day:
“Success is most often achieved by those who don't know that failure is inevitable.” -- Coco Chanel
Zero-knowledge cryptography is bigger than web3
Zero-knowledge proofs have existed since the 1980s, long before the advent of
web3. So why limit their potential to blockchain applications? Traditional
companies can—and should—adopt ZK technology without fully embracing web3
infrastructure. At a basic level, ZKPs unlock the ability to prove something is
true without revealing the underlying data behind that statement. Ideally, a
prover creates the proof, a verifier verifies it, and these two parties are
completely isolated from each other in order to ensure fairness. That’s really
it. There’s no reason this concept has to be trapped behind the learning curve
of web3. ... AI’s potential for deception is well-established. However, there
are ways we can harness AI’s creativity while still trusting its output. As
artificial intelligence pervades every aspect of our lives, it becomes
increasingly important that we know the models training the AIs we rely on are
legitimate because if they aren’t, we could literally be changing history and
not even realize it. With ZKML, or zero-knowledge machine learning, we avoid
those potential pitfalls, and the benefits can still be harnessed by web2
projects that have zero interest in going onchain. Recently, the University of
Southern California partnered with the Shoah Foundation to create something
called IWitness, where users are able to speak or type directly to holograms of
Holocaust survivors.
How to Make Security Auditing an Important Part of Your DevOps Processes
There's a difference between a security audit and a simple vulnerability scan,
however. Security auditing is a much more comprehensive evaluation of various
elements that make up an organization's cybersecurity posture. Because of the
sheer amount of data that most businesses store and use on a daily basis, it's
critical to ensure that it stays protected. Failure to do this can lead to
costly data compliance issues(link is external) and also lead to
significant financial losses. ... Quick development and rapid deployment are the
primary focus of most DevOps practices. However, security has also become an
equally, if not more important, component of modern-day software development.
It's critical that security finds its way into every stage of the development
lifecycle. Changing this narrative does, however, require everyone in the
organization to place security higher up on their priority lists. This means the
organization as a whole needs to develop a security-conscious business culture
that helps to shape all the decisions made. ... Another way that automation
can be used in software development is continuous security monitoring. In this
scenario, specialized monitoring tools are used to regularly monitor an
organization's system in real time.
The Critical Role of CISOs in Managing IAM, Including NHIs
As regulators catch up to the reality that NHIs pose the same (or greater)
risks, organizations will be held accountable for securing all identities. This
means enforcing least privilege for NHIs — just as with human users. It also
means tracking the full lifecycle of machine identities, from creation to
decommissioning, as well as auditing and monitoring API keys, tokens, and
service accounts with the same rigor as employee credentials. Waiting for
regulatory pressure after a breach is too late. CISOs must act proactively to
get ahead of the curve on these coming changes. ... A modern IAM strategy must
begin with comprehensive discovery and mapping of all identities across the
enterprise. This includes understanding not just where the associated secrets
are stored but also their origins, permissions, and relationships with other
systems. Organizations need to implement robust secrets management platforms
that can serve as a single source of truth, ensuring all credentials are
encrypted and monitored. The lifecycle management of NHIs requires particular
attention. Unlike human identities, which follow predictable patterns of
employment and human lifestyles, machine identities require automated processes
for creation, rotation, and decommissioning.
Preparing the Workforce for an AI-Driven Economy: Skills of the Future
As part of creating awareness about AI, the opportunities that come with it, and
its role in shaping our future, I speak at several global forums and
conferences. This is the question I am frequently asked: How did you start your
AI journey? Unlike the “hidden secret” that most would expect, my response is
fairly simple: data. I had worked with data long enough that transitioning to AI
seemed like a natural transition. Data is the core of AI, hence it is important
to build data literacy first. It involves the ability to read, work with,
analyze, and communicate data. In other words, interpreting data insights and
using them to drive decision-making is an absolute must for everyone from junior
employees to senior executives. No matter what is your role within an
organization, honing this skill will serve you well in this AI-driven economy.
Those who say that data is the new currency or the new oil are not entirely
overstating its importance. ... AI is a highly collaborative field. No one
person can build a high-performing, robust AI; it requires seamless
collaboration across diverse teams. With diverse skills and backgrounds, a
strong AI profile must possess the ability to communicate the results, the
process, and the algorithms. If you want to ace a career in AI, be the person
who can tailor the talk to the right audience and speak at the right
altitude.
Prioritizing data and identity security in 2025
First, it’s important to get the basics right. Yes, new security threats are
emerging on an almost daily basis, along with solutions designed to combat them.
Security and business leaders can get caught up in chasing the “shiny objects”
making headlines, but the truth is that most organizations haven’t even
addressed the known vulnerabilities in their existing environments. Major news
headline-generating hacks were launched on the backs of knowable, solvable
technological weaknesses. As tempting as it can be to focus on the latest
threats, organizations need to get the basics squared away. Many organizations
don’t even have multifactor authentication (MFA) enabled ... It’s not just
businesses racing to adopt AI—cybercriminals are already leveraging AI tools to
make their tactics significantly more effective. For example, many are using AI
to create persuasive, error-free phishing emails that are much more difficult to
spot. One of the biggest concerns is the fact that AI is lowering the barrier to
entry for attackers—even novice hackers can now use AI to code dangerous,
triple-threat ransomware. On the other end of the spectrum, well-resourced
nation-states are using AI to create manipulative deepfake videos that look just
like the real thing. Fortunately, strong security fundamentals can help combat
AI-enhanced attack tactics, but it’s important to be aware of how the technology
is being used.
Study reveals delays in SaaS implementations are costing Indian enterprises in crores
Delayed SaaS implementations create cascading effects, affecting both ongoing
and future digital transformation initiatives. As per the study, 92.5% of
Indian enterprises recognise that timely implementation is critical, while the
remaining consider it somewhat important. The study found that 67% of
enterprises reported increased costs due to extended deployment timelines,
making implementation overruns a direct financial burden. 53% of the
respondents indicated that delays hindered digital transformation progress,
slowing down innovation and business growth. Additionally, 48% of enterprises
experienced customer dissatisfaction, while 46% faced missed business revenue
and opportunities, impacting overall business performance. ... To mitigate
these challenges, enterprises are shifting toward a platform-driven approach
to SaaS implementation. This model enables faster deployments by leveraging
automation, reducing customisation efforts, and ensuring seamless
interoperability. The IDC study highlights that 59% of enterprises recognise
automation and DevOps practices as key factors in shortening deployment
timelines. By leveraging advanced automation, organisations can minimise
manual dependencies, reduce errors, and improve implementation speed.
Quantum Breakthrough: New Study Uncovers Hidden Behavior in Superconductors
To produce an electric current in normal conductors between two points one
needs to apply a voltage, which acts as the pressure that pushes electricity
between two points. But because of a peculiar quantum tunneling process known
as the “Josephson effect” current can flow between two superconductors without
the need for an applied voltage. The FMFs influence this Josephson current in
unique ways. In most systems, the current between two superconductors repeats
itself at regular intervals. However, FMFs manifest themselves in a pattern of
current that oscillates at half the normal rate, creating a unique signature
that can help in their detection. ... One of the key findings revealed by
Seradjeh and colleagues’ study is that the strength of the Josephson
current—the amount of electrical flow—can be tuned using the “chemical
potential” of the superconductors. Simply stated, the chemical potential acts
as a dial that adjusts the properties of the material, and the researchers
found that it could be modified by synching with the frequency of the external
energy source driving the system. This could provide scientists a new level of
control over quantum materials and opens up possibilities for applications in
quantum information processing, where precise manipulation of quantum states
is critical.
Data Center Network Topology: A Guide to Optimizing Performance
To understand fully what this means, let’s step back and talk about how
network traffic flows within a data center. Typically, traffic ultimately
needs to move to and from servers. ... Data center network topology is
important for several reasons: Network performance: Network performance hinges
on the ability to move packets as quickly as possible and with minimal latency
between servers and external endpoints. Poor network topologies may create
bottlenecks that reduce network performance. Scalability: The amount of
network traffic that flows through a data center may change over time. To
accommodate these changes, network topologies must be flexible enough to
scale. Cost-efficiency: Networking equipment can be expensive, and switches or
routers that are under-utilized are a poor use of money. Ideally, network
topology should ensure that switches and routers are used efficiently, but
without approaching the point that they become overwhelmed and reduce network
performance. Security: Although security is not a primary consideration when
designing a network topology because it’s possible to enforce security
policies using any common network design, topology does play a role in
determining how easy it is to segment servers from the Internet and filter
malicious traffic.
Ethics in action: Building trust through responsible AI development
The architecture discipline will always need to continuously evaluate the
landscape of emerging compliance directions to synthesize how the overall
definition and intent can be translated into actionable architecture and
design that best enables compliance. Parallel to this is to ensure their
implementations are auditable so that governing bodies can clearly see that
regulatory mandates are being met. When applied, various capabilities will
enable the necessary flexible designs and architectures with supporting
patterns for sustainable agility to ensure the various checks and policies are
being enforced. ... The heavy hand of governance can be a cause for diminished
innovation, however, this doesn’t need to happen. The same capabilities and
patterns used to ensure ethical behaviors and compliance can also be applied
to stimulate sensible innovation. As new LLMS, models, agents, etc. emerge,
flexible/agile architecture and best practices in responsive engineering can
provide the ability to infuse new market entries into a given product, service
or offering. Leveraging feature toggles and threshold logic will provide safe
inclusion of emerging technologies. ... While managing compliance through
agile solution designs and architectures promotes a trustworthy customer
experience, it does come with a cost of greater complexity.
NTT Unveils First Quantum Computing Architecture Separating Memory and Processor
In this study, researchers applied the design concept of the load-store-type
architecture used in modern computers to quantum computing. In a load-store
architecture, the device is divided into a memory and a processor to perform
calculations. By exchanging data using two abstracted instructions, “load” and
“store,” programs can be built in a portable way that does not depend on
specific processor or memory device structures. Additionally, the memory is only
required to hold data, allowing for high memory utilization. Load-store
computation is often associated with an increase in computation time due to the
limited memory bandwidth between memory and computation spaces. ... Researchers
expect these findings to enable the highly efficient utilization of quantum
hardware, significantly accelerating the practical application of quantum
computation. Additionally, the high program portability of this approach helps
to ensure the compatibility between hardware advancement, error correction
methods at the lower layer and the development of technology at the higher
layer, such as programming languages and compilation optimization. The findings
will facilitate the promotion of parallel advanced research in large-scale
quantum computer development.
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