Quote for the day:
"Anger doesn't solve anything; it builds nothing but it can destroy everything" -- Lawrence Douglas Wilder
Software Testing Is at a Crossroads
Organizations are discovering that achieving meaningful quality improvements
requires more than technological adoption; it demands fundamental changes in
processes, skills, and organizational culture that many teams are still
developing. ... There are numerous bottlenecks that are preventing teams from
achieving their automation targets. "The test automation gap as we call it
usually stems from three key challenges: limited skills, tooling constraints,
and resource shortages," Crisóstomo said. He noted that smaller teams often
struggle because they don't have enough experienced or specialized staff to take
on complex automation work. At the same time, even well-resourced teams run into
limitations with their current tools, many of which can't handle the increasing
complexity of modern testing needs. "Across the board, nearly every team we
surveyed cited bandwidth as a major issue," Crisóstomo said. "It's a classic
catch-22: You need time to build automation so you can save time later, but
competing priorities make it hard to invest that time upfront." ... "Meanwhile,
AI-enhanced quality, particularly in testing and security, hasn't seen the same
level of maturity or resources," he said. "That's starting to change, but many
teams still see AI as more of a novelty than a business-critical tool for
QA."Empower Users and Protect Against GenAI Data Loss
When early software as a service tool emerged, IT teams scrambled to control the
unsanctioned use of cloud-based file storage applications. The answer wasn't to
ban file sharing though; rather it was to offer a secure, seamless,
single-sign-on alternative that matched employee expectations for convenience,
usability, and speed. However, this time around the stakes are even higher. With
SaaS, data leakage often means a misplaced file. With AI, it could mean
inadvertently training a public model on your intellectual property with no way
to delete or retrieve that data once it's gone. ... Blocking traffic without
visibility is like building a fence without knowing where the property lines
are. We've solved problems like these before. Zscaler's position in the traffic
flow gives us an unparalleled vantage point. We see what apps are being
accessed, by whom and how often. This real-time visibility is essential for
assessing risk, shaping policy and enabling smarter, safer AI adoption. Next,
we've evolved how we deal with policy. Lots of providers will simply give the
black-and-white options of "allow" or "block." The better approach is
context-aware, policy-driven governance that aligns with zero-trust principles
that assume no implicit trust and demand continuous, contextual
evaluation. Too many cloud security tools harming incident response times - survey
According to the data, security teams are inundated with an average of 4,080
alerts each month regarding potential cloud-based incidents. However, in stark
contrast, respondents reported experiencing just 7 actual security incidents per
year. This enormous volume of alerts - compared to the small number of real
threats - creates what ARMO describes as a very low signal-to-noise ratio. The
survey found that security professionals typically need to sift through
approximately 7,000 alerts to find a single active thread. The excessive "tool
sprawl" has been cited as a primary factor: 63% of organisations surveyed
reported using more than five cloud runtime security tools, yet only 13% were
able to successfully correlate alerts across these systems. ... "Over the past
few years we've seen rapid growth in the adoption of cloud runtime security
tools to detect and prevent active cloud attacks and yet, there's a staggering
disparity between alerts and actual security incidents. Without the critical
context about asset sensitivity and exploitability needed to make sense of what
is happening at runtime, as well as friction between SOC and Cloud Security,
teams experience major delays in incident detection and response that negatively
impacts performance metrics."Giving People the Chance to Innovate Is Critical — ADP CDO
Recognizing that not all innovations start with a fully developed use case, Venjara shares how the team created a controlled sandbox environment. This allows internal teams to experiment securely without the risks of exposure to sensitive data. This sandbox setup, developed in collaboration with security, legal, and privacy teams, provides:A controlled environment for early experimentation; Technical safeguards to protect data; A pathway from ideation to formal review and production ... Another critical pillar in Venjara’s governance strategy is infrastructure. He highlights the development of an AI gateway that centralizes access to approved models and enables comprehensive monitoring. This gateway enables the team to monitor the health and usage of AI models, track input and output data, and govern use cases effectively at scale. Reflecting on internal innovation and culture-building, Venjara shares that it all starts with people and empowering them to explore, learn, and create. A foundational part of his approach is creating space for employees to take initiative, experiment, and bring new ideas to life. This culture of experimentation is paired with a clear articulation of expectations of what success looks like and how individuals can align with the broader mission.Fortify Your Data Defense: Balancing Data Accessibility and Privacy
Companies need our data, and they usually place it into databases or datasets
they can later reference. This makes privacy tricky. Twenty years ago, common
rationale followed that removing direct identifiers such as names or street
addresses from a dataset meant that dataset was anonymous. Unsurprisingly, we’ve
since learned there is nothing anonymous about it. Data anonymization techniques
like tokenization and pseudonymization, however, can minimize data exposure
while still enabling these companies to perform valuable analytics such as data
matching. By ensuring the data is never seen in the clear by another human while
the system associates that data with a placeholder, it offers an extra layer of
protection against threat actors even if they manage to exfiltrate the data. No
one system or solution is perfect, but it’s important we continuously modernize
our approach. Emerging technologies like homomorphic encryption, which allows
mathematical functions on encrypted data, show promise for the future. Synthetic
data, which generates fictional individuals with the same characteristics as
real people, is another exciting development. Some companies are involving Chief
Privacy Officers in their ranks, and there are whole countries building better
frameworks.Unleashing Powerful Cloud-Native Security Techniques
By leveraging NHI management, organizations can take a significant stride towards ensuring the safety of their cloud data and applications. This approach creates a robust security shield, defending against potential breaches and data leaks. By evolving their cyber strategies to include these powerful techniques, companies can ensure they remain secure and compliant where cyber threats are increasingly sophisticated and relentless. To unlock the full potential of NHIs, it’s vital to work with a partner who understands their dynamics deeply. This partner should offer a solution that caters to the entire lifecycle of NHIs, not just one aspect. Overall, for a truly secure cloud environment, consider NHI management as a fundamental component of your cloud-native security strategy. By embracing this paradigm shift, organizations can fortify themselves against the growing wave of cyber threats, ensuring a safer, more secure cloud journey. ... With a holistic, data-driven approach to NHI management, organizations can ensure that they are well-equipped to handle ever-evolving cyber threats. By establishing and maintaining a secure cloud, they are not only safeguarding their digital assets but also setting the stage for sustainable growth in digital transformation.Global Digital Policy Roundup: May 2025
The roundup serves as a guide for navigating global digital policy based on the
work of the Digital Policy Alert. To ensure trust, every finding links to the
Digital Policy Alert entry with the official government source. The full Digital
Policy Alert dataset is available for you to access, filter, and download. To
stay updated, Digital Policy Alert also offers a customizable notification
service that provides free updates on your areas of interest. Digital Policy
Alert’s tools further allow you to navigate, compare, and chat with the legal
text of AI rules across the globe. ... Content moderation, including the
European Commission's DSA enforcement against adult content platforms,
Australia's industry codes against age-inappropriate content, China's national
network identity authentication measures, and Turkey's bill to repeal the
internet regulation law. AI regulation, including the European Commission's AI
Act implementation guidelines, Germany's court ruling on Meta's AI training
practices, and China's deep synthesis algorithm registrations. Competition
policy, including the European Commission's consultation on Microsoft Teams
bundling, South Korea's enforcement actions against Meta and intermediary
platform operators, China's private economy promotion law, and Brazil's digital
markets regulation bill. The Greener Code: How real-time data is powering sustainable tech in India
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As engineering leaders, we build systems that scale. But we must also ask: are
they scaling sustainably? India’s data centres already consume around 2% of
the country’s electricity, a number that’s only growing. If we don’t rethink
our infrastructure, we risk trading digital progress for environmental cost.
That’s where establishing real-time data pipelines reduces the need for batch
jobs, temporary file storage, and unnecessary duplication of compute
resources. This translates to less wasted computing power, lower carbon
emissions, and a greener digital footprint. But it’s not just about saving
energy. It’s about designing systems that are smart from the start,
architecting not just for performance, but for the planet. ... India is
uniquely positioned. A digital-first economy with deep tech talent, rising
energy needs, and a growing commitment to sustainability. If we get it right,
engineering systems that are both scalable and sustainable, we don’t just
solve for India, we lead the world. From Digital India to Smart Cities to
Make in India, the government is pushing for innovation. But innovation
without sustainability is a short-term gain. What we need is “Sustainable
Innovation” — and data streaming can and in fact will be a silent hero in that
journey.Measuring What Matters: The True Impact of Platform Teams
The New Fraud Frontier: Why Businesses Must Rethink Identity Verification
Now that fraudsters can access AI tools, the fraud game has entirely changed.
Bad actors can generate synthetic identities, manipulate biometric data and even
create deepfake videos to pass KYC processes. Additionally, AI enables
fraudsters to test security systems at scale, quickly iterating and adapting
methods based on system responses. In light of these new threats, businesses
need dynamic solutions that can learn and evolve in real time. Ironically, the
same technology serving sophisticated fraud can be our most potent defence.
Using AI to enhance both pre-KYC and KYC processes delivers the capability to
identify complex fraud patterns, adapting faster than human-driven systems ever
could. ... The battle against AI-empowered fraud isn’t just about preventing
financial losses. It’s about maintaining customer trust in an increasingly
sceptical digital marketplace. Every fraudulent transaction erodes confidence,
and that’s a cost too high to bear in today’s competitive landscape. Businesses
that take a multi-layered approach, integrating pre-KYC and KYC processes in a
unified fraud prevention strategy, can stake one step ahead of fraudsters. The
key is ensuring that fraud prevention tools – data-rich, AI-driven and flexible
– are as adaptive as the threats they are designed to stop.
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