Tag: #tools

Qualcom invests €500K to launch new AI practice

Qualcom, a leading Irish provider of IT and cybersecurity services, today announces that it is investing €500,000 to launch its new artificial intelligence (AI) practice. This investment will span three years and, in the continued expansion of its team, Qualcom plans to hire four AI specialists within this timeframe.

The new practice will support secure AI adoption for Irish organisations and enable them to align with evolving regulatory requirements. The investment includes a new partnership with AI infrastructure provider NROC and, as part of this, Qualcom will provide a full wraparound service to secure and manage customers’ AI environments, using NROC’s technology. The funding also includes the training and upskilling of new team members, as well as AI training for Qualcom’s existing managed services and infosec teams.

In turn, the new practice will further enable Qualcom to deliver AI-powered solutions that will secure customers’ Microsoft data, and to provide ultra-secure managed services to businesses. Qualcom has also developed a comprehensive AI policy framework designed to help organisations to incorporate AI tools such as Microsoft Copilot and ChatGPT into their daily operations, while safeguarding sensitive data and ensuring compliance,

The company is launching the new dedicated practice in response to heightened demand among customers for AI solutions, services, and capabilities to drive business growth and remain competitive.

This investment comes as Qualcom celebrated 30 years in business in 2025. The company recently announced that it has boosted the headcount within its support centre by 33%, and enhanced facilities at its Dublin headquarters to equip the business for continued growth.

David Kinsella, Technical Director, Qualcom, said: “This investment in our people, platforms, and capabilities reflects our commitment to supporting customers as they navigate both the opportunities and risks of AI. As we look ahead to the next three years, there’s no doubt that the use and applications of AI will continue to grow exponentially. The launch of the new practice will enable us to adapt quickly in line with industry demand, delivering right first-time services that are fully compliant and maximise IT uptime for businesses in Ireland. We’re looking forward to working closely with customers as we support the secure rollout of AI tools to help them to keep pace with their competitors.”

ERP’s Giant ‘Trash EEE-lk’ Makes Invisible Electrical Waste Impossible to Ignore This St Patrick’s Festival

The European Recycling Platform (ERP) has, today unveiled its show-stopping ‘Trash EEE-lk’ (EEE: Electrical and Electronic Equipment) installation ahead of this year’s St Patrick’s Festival in Dublin. The structure, made purely from e-waste, highlights the urgent need for Irish households to recycle (and not bin!) their invisible electrical items. The aim of the majestic mammal, which is set to dominate St. Patrick’s Park from 14th – 16th March, is to encourage people to dispose of electrical items, most notably, invisible e-waste properly. ‘Trash EEE-lk forms part of ERP’s Sustainability Partnership with the St Patrick’s Festival.
In addition to ‘Trash EEE-lk’, ERP has just released new findings in a survey conducted by Coyne Research. It reveals that 55% of adults have never heard of the term “Invisible WEEE”, despite almost universal ownership of small electrical items that often go unnoticed in Irish homes.
The findings show that chargers and cables are the most hoarded, most binned, and most recycled Invisible WEEE items, simply because almost every household owns several of them. Everyday items such as vapes, earbuds, headphones, power banks, remote controls, power tools and small kitchen gadgets also frequently end up in household bins – a serious concern as battery-related fires at waste treatment plants are on the rise. Vapes (13%) and audio accessories (9%) are among the items most commonly misdisposed of, while smart home devices (33%), electric blankets (33%) and even St Patrick’s light‑up hats and accessories (6%) add to ever-growing stockpiles of invisible e-waste accumulating in our homes.
ERP Ireland’s ‘Trash EEE-lk’ brings an ancient giant back to life to symbolise Ireland’s growing invisible electrical waste problem, encouraging the public to stop in their tracks and recycle responsibly, whilst highlighting the importance of correct disposal.
Designed by renowned Irish artist Ned Leddy, this striking large-scale installation is created from over 1,000 electrical items and components. Towering over the park, it measures five metres long, four metres high and boasts 3.5‑metre antlers. As a form of “artivism”, it does more than captivate – it aims to influence recycling culture and spark real change. Inspired by the prehistoric Irish Elk, the largest species of deer ever known, ‘Trash EEE-lk’ connects Ireland’s ancient past with a modern reminder to recycle the unseen.
‘Trash EEE-lk’ forms a wider part of this year’s St Patrick’s Festival theme, Roots, which explores identity, belonging and the shared stories that connect generations. The majestic Irish Elk – which roamed Ireland and Europe before, during and after the last Ice Age and became extinct around 7,700 years ago – stood taller than a modern moose, with antlers spanning up to four metres (13 feet). By transforming this ancient giant from no longer used electronics, ‘Trash EEE-lk’ blends Ireland’s deep past and ancient roots with a powerful yet modern message about recycling invisible WEEE.
Speaking about the inspiration behind ‘Trash EEE-lk’, Artist Ned Leddy said:
“I was delighted to take on such an ambitious, creative and meaningful project. The idea of resurrecting an ancient Irish creature using today’s electronic waste immediately resonated with me. I hand-selected every piece of recycled material, choosing components that would add texture, scale and personality to the sculpture. It was fascinating to see discarded electronics transform into something so striking and symbolic. I hope ‘Trash EEE-lk’ inspires people to see waste differently while reconnecting us with our ancient past.”
Commenting on this year’s instalment, Country General Manager of ERP Ireland, James Burgess, added:
“This year’s St. Patrick’s Festival theme, Roots, is about understanding where we come from and how we shape the future. By reimagining the ancient Irish Elk through modern electronic waste, we want to spark meaningful conversations about sustainability and encourage people to think differently about the electrical items in their homes. ‘Trash EEE-lk’ truly brings Ireland’s lost Elk – and invisible WEEE – back into view.
Electrical waste is one of the fastest-growing waste streams globally, yet many people don’t realise that small items like cables, vapes or even light-up novelty St Patrick’s hats should be recycled. Through this installation, we’re showing that recycling is a simple action – one that protects our planet, preserves resources, and keeps electrical items out of our household bins.”

Why Penetration Testing Companies Are Essential for Modern Cybersecurity

In a digital economy where data is one of the most valuable assets an organization owns, the ability to detect vulnerabilities before attackers do has become a strategic necessity. Penetration testing companies help organizations uncover hidden security weaknesses by simulating real-world cyberattacks against applications, infrastructure, and networks, allowing businesses to strengthen defenses before malicious actors exploit those gaps.

Why penetration testing has become essential

Cybersecurity threats have grown more sophisticated and persistent in recent years. Enterprises no longer face only opportunistic hackers; they must also defend against organized cybercriminal groups, state-sponsored attackers, and automated attack tools that scan the internet continuously for vulnerabilities.

Traditional security tools—such as firewalls, antivirus software, and intrusion detection systems—play an important role, but they cannot identify every weakness. Many vulnerabilities stem from misconfigurations, insecure code, overlooked access controls, or complex interactions between systems.

Penetration testing addresses this challenge by applying the mindset and techniques of attackers. Security professionals attempt to exploit vulnerabilities in a controlled environment, demonstrating exactly how an attack could unfold and what business impact it might have. Instead of theoretical risks, companies receive practical insight into real security gaps.

What penetration testing companies actually do

Professional penetration testing providers offer a range of services designed to assess different layers of an organization’s technology stack. These services typically include:

Network penetration testing
This type of assessment focuses on internal and external network infrastructure. Testers attempt to exploit weaknesses in routers, servers, firewalls, or network protocols to gain unauthorized access.

Web application testing
Modern organizations rely heavily on web platforms. Penetration testers evaluate applications for vulnerabilities such as SQL injection, cross-site scripting, insecure authentication mechanisms, and flawed session management.

Mobile application security testing
As mobile apps increasingly handle sensitive data and financial transactions, specialized testing ensures they are protected against reverse engineering, insecure APIs, and data leakage.

Cloud security assessments
With many businesses migrating workloads to the cloud, penetration testing helps identify configuration errors, excessive permissions, and exposed services that could allow attackers to move laterally within cloud environments.

Social engineering testing
Some engagements also evaluate human vulnerabilities through phishing simulations or other social engineering techniques. These tests help organizations measure employee awareness and identify training gaps.

The methodology behind effective penetration testing

High-quality penetration testing is structured and systematic rather than random hacking attempts. Professional testers typically follow a standardized methodology that includes several stages.

  1. Reconnaissance and information gathering
    Security specialists collect publicly available information about the target organization, its infrastructure, domains, and technologies. This stage helps testers map potential entry points.
  2. Vulnerability identification
    Automated tools and manual analysis are used to identify weaknesses in software, configurations, and systems.
  3. Exploitation
    Testers attempt to exploit discovered vulnerabilities in order to determine whether they can gain access, escalate privileges, or extract sensitive information.
  4. Post-exploitation analysis
    This phase evaluates how far an attacker could move within the environment after gaining initial access.
  5. Reporting and remediation guidance
    Perhaps the most important stage is the final report, which includes detailed findings, severity ratings, proof-of-concept evidence, and clear recommendations for remediation.

The goal is not only to expose vulnerabilities but also to provide organizations with actionable guidance to improve their overall security posture.

How businesses benefit from penetration testing

Organizations that invest in regular penetration testing gain several advantages beyond simple vulnerability detection.

First, testing helps reduce the risk of costly data breaches. A single cyber incident can lead to financial losses, regulatory penalties, operational disruption, and reputational damage.

Second, penetration testing supports regulatory compliance. Many industries—including finance, healthcare, and e-commerce—require periodic security assessments to meet standards such as PCI DSS, ISO 27001, or HIPAA.

Third, it improves internal security maturity. When development and infrastructure teams receive detailed feedback from testers, they gain a deeper understanding of secure architecture and coding practices.

Finally, penetration testing strengthens customer trust. Demonstrating that systems are regularly tested by independent experts signals a strong commitment to protecting user data.

Choosing the right penetration testing partner

Not all security providers deliver the same level of expertise or value. When selecting a penetration testing company, organizations should consider several factors.

Technical expertise is critical. Experienced testers should hold recognized certifications such as OSCP, CEH, or CREST, and have proven experience with modern technologies including cloud platforms, APIs, and containerized environments.

Methodology and transparency also matter. Reputable firms clearly explain their testing process, scope, and reporting structure before the engagement begins.

Industry experience can significantly improve the quality of testing. Providers familiar with sectors like fintech, healthcare, or logistics understand common threat patterns and regulatory expectations.

Actionable reporting is another key factor. Security reports should translate technical findings into clear business risks and remediation steps that engineering teams can realistically implement.

The growing role of penetration testing in modern cybersecurity

As digital ecosystems expand, the attack surface of organizations grows with them. Cloud services, APIs, IoT devices, and remote work infrastructure all introduce new potential entry points for attackers.

Because of this complexity, cybersecurity can no longer rely solely on defensive monitoring tools. Businesses must proactively search for weaknesses in the same way adversaries do. Regular penetration testing has therefore evolved from a niche security service into a core component of modern cyber risk management.

Organizations that integrate testing into their security lifecycle—especially during software development and infrastructure changes—can detect vulnerabilities earlier and reduce remediation costs significantly.

In this environment, companies increasingly turn to specialized security partners to strengthen their defenses. Andersen penetration testing company services, for example, are often integrated into broader cybersecurity and software engineering initiatives, enabling businesses to identify vulnerabilities early, validate the resilience of their systems, and continuously improve their security posture as their digital products evolve.

3 in 10 Irish businesses say supply chain disruption has worsened in the last five years

Three in ten (30%) Irish business leaders believe that supply chain disruptions have worsened in the past five years. The rising cost of materials is cited as the biggest supply chain threat being currently faced by Irish businesses, with more than six in ten (63%) of Irish business leaders stating this to be the case. Tariffs and cyber threats were also found to be major supply chain risks currently faced by Irish organisations (60%).

According to results of new research into business supply chains, conducted by the global insurance brokerage, risk management and consulting firm, Gallagher, one in ten (10%) Irish businesses expect supply chain issues to worsen in the next five years.

The results of the research, which are unveiled in a new global supply chain research report, provide a comprehensive view of the concerns, strategies, and risk management needs of business leaders in today’s uncertain world. The report, Supply Chains, Redrawn: Lessons from Business Leaders Across Industries, is informed by views from company directors in seven countries, across a broad cross-section of business sizes and industries. Ireland and the UK are two of the seven countries included in this report.

Other risks to supply changes as highlighted by the research include natural disasters/climate change (57%); geopolitical risks (50%); and labour disruptions (50%).

Commenting on the findings of the research, Laura Vickers, Managing Director of Commercial Lines for Gallagher said:

“Some of the biggest supply chain disruptions ever experienced have arose in recent years. These include the Covid 19 pandemic, the 2021 Suez Canal blockage, the Russian-Ukraine war, and recent extreme weather events and natural disasters. So, it’s no surprise that supply chain issues have really come to the fore for businesses worldwide in recent years, and Irish businesses are facing these challenges as much as others.”

Table 1: Current and potential supply chain risks faced by Irish businesses

Looking Ahead

Irish business leaders are slightly more optimistic than their UK counterparts – one in ten (10%) Irish business executives expect supply chain issues to worsen in the next five years compared to almost one in five (19%) respondents in the UK.

Further highlights from the Gallagher report include:

  • Labour disruptions (labour movement, workforce mobility, or strikes) and human rights issues top the list of supply risks which Irish business leaders are expecting in the future, with more than four in ten (43%) Irish business leaders anticipating that each of these issues will pose a risk to their firm (see Table 1).
  • Four in ten (40%) Irish business executives expect sanctions and export controls to present a supply chain risk into the future, with a similar number (37%) citing cargo theft.
  • Interestingly, while the rising cost of materials and tariffs top the list of the supply chain risks currently facing Irish businesses, the research found that Irish business leaders expect these risks to subside in the future.
  • Only 27% of Irish executives expect the rising cost of materials to be a supply chain issue into the future, while 30% cited tariffs.

Managing future supply chain risks

Over six in ten (63%) business executives in Ireland are investing in technology – specifically digital tools, AI, or monitoring systems – to help improve oversight and responsiveness and help manage supply chain risks. This is a slightly lower number than in the UK, where almost seven in ten (68%) of business executives said they were doing so. More than seven in ten (73%) Irish business leaders are also looking to alter supplier relationships in some capacity, due to past, current, and predicted future supply chain disruption. This compared to 64% of UK respondents.

More than six in ten (63%) Irish business executives and 61% (UK) also confirmed that they are adopting onshoring[1], nearshoring or friendshoring to help manage the supply chain risks currently impacting their business. This reflects the growing concerns held by Irish business leaders around geopolitical developments.

Just over a quarter (28%) of Irish businesses who experienced supply chain losses in the last 12 months had insurance in place to fully cover losses, leaving many firms facing potentially substantial costs to bear. This figure is significantly lower than the response from businesses in the UK (with 46% of affected businesses having losses fully covered) and the global response (32%).

Ms Vickers added:

“Irish businesses aren’t alone in facing ongoing supply chain disruption, and many of the issues that are affecting trade here are global. Escalating geopolitical conflict, the rising price of materials, and an influx of cyberattacks all presented unique and complex challenges to businesses last year and continue to concern decisionmakers in 2026. The continued disruption underscores the need to consult a risk management advisor to assess individual concerns and source comprehensive risk management and insurance products that may help to boost financial resilience.”

What does API Testing look like in 2026

A good/efficient/capable API testing tool can handle numerous APIs built for various functionality. 

You wouldn’t know it from the surface but tools like Postman and Swagger still dominate the markets. 

Conferences are showcasing “automated testing” as if we’re still in 2018. But beneath all this hype, we see a quiet revolution is exploding everything we thought we knew about API quality.  

According to Postman’s 2026 State of the API Report, teams now ship APIs 4.2x faster than in 2022. Yet Gartner warns that 68% of API breaches originate from testing gaps invisible to traditional scanners. 

Meanwhile, developers waste 37 hours per week trying to remove flaky tests that pass in CI but fail in production (2026 State of QA Survey).  

We’re not just testing more APIs—we’re testing in a world where:  

– 87% of new systems are event-driven (async APIs, webhooks, WebSockets)  

– AI-generated code now writes 41% of API endpoints (GitHub Octoverse 2025)  

– Third-party dependencies have grown 300% since 2020 (Stripe, Twilio, Auth0)  

– Data poisoning attacks bypass OWASP’s top 10 protections silently  

Despite using all these tools, you’re still unable to meet expectations. This is because each tool misses certain functionalities, or your testing methods lack clarity.

Old testing methods aren’t just failing—they’re creating dangerous blind spots. 

After analyzing 12,000+ Reddit threads, Stack Overflow debates, and GitHub issue logs, We’ve uncovered five massive shifts every engineering leader/tester must admit. These aren’t incremental changes. They’re necessary changes that you need introduce in your CI/CD pipeline.  

Shift 1: Synchronous Testing Is no longer sufficient

Remember when APIs were neat request-response cycles? Its long gone. 

Today’s systems pulse with Kafka streams, payment webhooks, and IoT sensor floods. Testing them with Postman collections is like checking a Formula 1 car with a bicycle pump.  

Reddit’s r/apitesting sub is flooded with such desperate questions:  

> How do I validate that a webhook fires AFTER a database commit—not before?(2.1k upvotes)  

> Our payment confirmation events arrive out of order in prod. Tests pass locally.(Top comment on r/devops)  

Why are these patterns emerging? The truth? 63% of async API failures stem from race conditions invisible to synchronous tools (Twilio Engineering Blog, Jan 2026). Something that older testing practices can’t replicate which causes:  

– Message queue backlogs during traffic spikes  

– Distributed services  

– Partial failures in event transactions  

Now what should you do differently

Forward-thinking teams are openly embracing what we call controlled chaos:  

– Simulating region failures during test runs (not just in staging)  

– You start by introducing latency between services to expose timing bombs  

– Work towards validating event ordering using distributed tracing IDs which can be later in

Shift #2: Contract Testing is Important 

Contract testing tools like Pact are having a moment. Google searches for “API contract testing” grew 214% YoY. But here’s what vendor docs won’t tell you: backward compatibility checks are failing silently in 9 of 10 implementations.  

Why? Most teams test schemas, not behaviors. Consider this example a real scenario:  

> A food-delivery startup updated a `GET /orders` endpoint. The response schema stayed identical, but pagination logic changed from offset-based to cursor-based. Mobile apps crashed because tests only validated JSON structure—not how data was chunked. Result: $1.2M in lost orders and a CTO’s resignation.  

The problem here? Data drift between environments. Staging databases lack production-scale data skew. Your tests pass with 100 records but choke with 10 million.

 Stack Overflow’s top-voted API question (5.2k upvotes) shares a similar pain:  

> “Why do my contract tests pass locally but break in prod with ‘invalid token’ errors?”  

The fix isn’t more tests—it’s testing contracts in production shadows:  

– Mirror production traffic to a canary environment running new contracts  

– Validate against real data distributions (not synthetic test data)  

– Inject chaos into contract tests: “What if this field is 10x larger?”  

– Treat contracts as living documents auto-generated from test traffic (not manually updated Swagger files)  

Teams using qAPI treat contracts through schema validation, which can be enforced across environments and tied directly to test execution. Because contracts are derived from real API behavior—not manually curated specs—they stay relevant as systems evolve.

AI Testing Tools Are Failing the Auth Test (Quite Literally)  

AI-powered testing tools promise dreams: “Generate 10,000 test cases in seconds!” Vendors now embed AI into their core workflows. But Quora threads tell a darker story:  

> “Tried 7 AI testing tools. All failed at OAuth2 token rotation scenarios.” (2.4k views)  

> “My AI-generated tests passed—but missed a critical JWT expiration bug that leaked user data.” (Top comment on r/Python)  

The reality is this- 68% of engineers abandoned AI testing tools within 3 months (GitLab 2026 Survey). Why? They excel at happy paths but collapse on:  

– Token expiration/renewal flows  

– Role-based access control (RBAC) permutations  

– Idempotency key validation during retries  

– Stateful workflows (e.g., checkout processes)  

 

AI can’t replace human intuition for edge cases… yet. But progressive teams are using it strategically:  They used it to reduce human load where it matters least and preserve human judgment where it matters most.

qAPI supports this balance by enabling:

  • Rapid baseline test generation from schemas and traffic
  • Easy refinement of edge cases engineers actually care about
  • Reuse of validated flows across teams

Idempotency failures don’t announce themselves

Idempotency keys seem trivial. Yet they’re the silent killers of transactional systems. Stripe’s documentation warns about them, but testing guides ignore them. Why? Because idempotency isn’t a feature—it’s a distributed systems constraint.  

Consider this:  

– 83% of payment failures occur during network timeouts when clients retry requests  

– Without idempotency keys, retries create duplicate charges or inventory oversells  

– 95% of teams don’t test idempotency in CI/CD—they pray it works in prod  

The consequence? In 2025, a ride-sharing startup lost $4.7M when a surge pricing event triggered duplicate charges during a database failover. Their tests never simulated partial failures mid-transaction.  

Idempotency testing requires rethinking your entire strategy:  

– Simulate network partitions during payment processing (not just before/after)  

– Validate key reuse across service restarts and clock drift scenarios  

– Test with real payment gateways using test-mode webhooks (not just mocks)  

– Measure duplicate transaction rates as a core quality metric—not just “tests passed”  

Basic flaky Tests Are a Symptom—Not the Disease 

Flaky tests cost 37 hours per engineer per week. But chasing flakes is like mopping a flooded floor while the tap runs. The root cause? Testing in artificial environments that ignore production reality.  

Stack Overflow’s most-commented API question (14k monthly views) screams the pain:  

> “My API tests pass locally, pass in CI, but fail 30% of the time in staging. Why?!”  

The answer lives in three ignored dimensions:  

  1. Data drift: Staging databases lack production data skew, null distributions, and timezone chaos  
  2. Time sensitivity: Tests ignore daylight saving changes, leap seconds, and clock drift across containers  
  3. Resource constraints: CI runners have infinite CPU/memory; production has noisy neighbors and pumped up databases.

The human cost is brutal:  

– QA engineers lose trust in automation, reverting to manual checks  

– Developers ignore failing builds (“it’s just flaky”)  

– Security teams can’t distinguish real breaches from test noise  

qAPI supports this by standardizing test execution across environments, minimizing hidden dependencies, and making test behavior explainable—not magical.

The human impact is immediate:

  • Engineers trust CI again
  • QA focuses on coverage, not cleanup
  • Failures regain meaning

The Way Forward: From Testing APIs to Stress-Testing Trust  

These five shifts reveal a deeper truth: API testing isn’t about validating endpoints anymore. It’s about stress-testing trust in a world where:  

– Systems are distributed, stateless, and event-driven  

– Failures cascade silently across team boundaries  

– Security threats evolve faster than scanner definitions  

The teams winning this war share three best practices one that you need to adapt too:  

  1. They test like attackers: Not just “does it work?” but “how can it be broken when components fail?”  
  2. They value observability over coverage: A 60% coverage rate with production tracing beats 95% coverage in a sandbox  
  3. They treat tests as living contracts: Auto-generating documentation from test traffic, not manual updates  

This isn’t about buying new tools. It’s about rewiring your quality mindset. As one principal engineer at Spotify whispered in a private Slack channel:  

> “We stopped counting test cases. Now we measure ‘how many 3 AM pages did this prevent?’”  

The clock is ticking. Every minute your async APIs go un-tested for race conditions, every idempotency key left un-validated, every AI-generated test that misses auth edge cases—you’re shipping technical debt with a countdown timer.  

When APIs behave predictably under change, teams move faster without second-guessing every release. When they don’t, velocity collapses under fear, workarounds, and manual checks.

Teams that adopt platforms like qAPI are not testing more aggressively for the sake of coverage. They are testing more intentionally. Instead of validating endpoints in isolation, they validate flows that mirror how real systems behave. 

One VP of Engineering summarized this shift during a post-incident review in a way that stuck: “The real win wasn’t that we caught the bug. The real win was knowing that we would.”

By reducing the effort required to create, maintain, and run meaningful API tests, they lower the cost of doing the right thing consistently. The goal isn’t to make testing more impressive. It’s to make it dependable enough. This is where tools like qAPI makes a difference.

 

Why Real-Time Tracking Capabilities Will Define the Best Web Analytics in 2026

Not too long ago, marketers had to manually go through yesterday’s bulk of data to craft their reports. Reading the audience correctly is an art, and, less than a decade ago, these professionals had to do so with little to no digital support. Today, nearly everything happens in real time, especially analytics, which is why it’s time to look for the best web analytics in 2026. 

Historical information hasn’t lost its importance, but the competitive edge for marketers and companies now lies in the present moment. Here’s how realtime web analytics is set to transform the data analytics services landscape in 2026. 

Pixabay

The digital world is like clouds in the sky; it’s different every time one looks up. Viral content comes out of the blue, and topics become trendy as quickly as they get forgotten. So, reading the audience in real time using the right web analytics tool has become indispensable. 

Not only is it necessary to adapt to emerging trends, but also to user behavior. Here, choosing the best web analytics for websites in 2026 saves the day once again, providing actionable insights to personalize the user experience on the go. Unsurprisingly, the global web analytics market is skyrocketing, with specialists forecasting a CAGR of up to 19% between 2025 and 2032.

Moreover, it allows companies to identify anomalies as they occur, preventing further damage and maintaining the level of user experience. There are also other advantages, such as fraud detection, improved productivity, and more efficient decision-making. Indeed, modern web analytics software can do much more than tracking clicks and traffic. 

Privacy Matters



Pixabay

Since the main tasks of most web analytics tools are to save and analyze user information, they have raised legitimate privacy concerns. In many cases, such tools collect users’ data without their consent. However, that’s not the only (or even less so, the best) way of doing business in this field. 

The best tools have a privacy-first approach, collecting much less data than traditional ones. While this approach results in a smaller data volume, that information is by no means less valuable. Marketers can still get actionable insights from this information by using platforms which provide privacy-by-design data collection. Such platforms anonymize and encrypt their data for enhanced protection, without necessarily compromising the depth of analysis.Moreover, they only do so with user consent. It’s not only a matter of doing ethical business. As new privacy laws emerge in major jurisdictions like the European Union, the USA, China, and Brazil, protecting users’ anonymity has become a matter of compliance. It means that tools that somehow breach such standards will likely miss out on tremendous marketing opportunities. 

At the Speed of Now

In 2026, the superiority of web analytics tools will be measured mostly by uncompromised integrity and instantaneous insights. The winners will likely be those capable of doing more with less data. After all, interpreting live trends has become indispensable for online marketing. In other words, the future belongs to those who analyse with speed and conscience. 

 

annke Tivona – HD Video Baby Monitor with Camera Review

The Annke Tivona HD Video Baby Monitor stands out in this market by offering a high-quality, dedicated monitoring experience that prioritizes privacy and simplicity. It’s an excellent choice for parents looking for a robust, non-Wi-Fi solution with extensive features and coverage and comes with a separate camera in the

The Tivona delivers a superior image compared to many standard monitors thanks to its 1080P Full HD camera. While the parent unit screen itself is often 720P, the clarity provided by the HD camera ensures you can zoom in (1.5x/2x digital zoom) and see details like breathing movements or pacifier loss. The invisible night vision (940nm IR)

The Tivona uses 2.4GHz FHSS (Frequency-Hopping Spread Spectrum) technology, the video and audio signals are directly transmitted only between the camera and the dedicated parent unit. This setup is hack-proof and ensures your feed is completely private, as it never touches your home Wi-Fi network or the internet.

The 4000mAh or 5000mAh battery is a major plus. It offers enough power to typically last a full night’s sleep, even with heavy use, and easily through the day on power-saving (VOX) mode. The impressive range of up to 1,000 feet (in ideal conditions) means you can walk around your house or even step into the yard without losing connection.

The remote Pan and Tilt functionality is smooth and quiet, allowing you to easily follow a wriggling toddler or pan across a wide nursery room. The temperature sensor and noise sensor is reliable, and the ability to set high/low temperature alarms is a great safety feature. Built-in lullabies and the two-way talk function provide tools to soothe your baby remotely. Which you will se eall in action in the video revoew below along with all the features so go chck it out.

Key features:

Crystal-clear 1080P video on a 5″ HD display

360° pan & tilt camera for full-room coverage

Invisible infrared night vision (940nm, no red glow) – perfect for uninterrupted baby sleep

Two-way talk for instant communication

VOX sound activation – screen wakes only when your baby needs you

Room temperature monitoring + feeding reminders for extra care

Secure 2.4GHz connection (no Wi-Fi needed, no privacy concerns)

BUY

Other annke reviews

Video review

The Tech Behind Live Streaming

Live streaming has become one of those things people use every day without thinking about what makes it work. It sits behind video calls, investor briefings, gaming platforms, remote onboarding, and half of the entertainment world. When a stream loads instantly, nobody notices. When it doesn’t, suddenly the entire system feels fragile. The truth is that the technology behind live streaming is layered, messy, and constantly evolving in the background while the front-end looks calm.

How Real-Time Streaming Became a Standard

The shift toward real-time delivery hasn’t come from one industry alone. Finance, gaming, education, and entertainment all pushed for it in different ways. The gaming sector, in particular, raised the bar. Many non GamStop casino sites offer live dealer table games, which depend on smooth video to keep the entire experience believable. When the cards hit the table, the player sees it instantly. If there’s lag or the picture breaks, people stop trusting what’s on the screen.

That need for precision forced streaming providers to rethink everything from how video is encoded to how far it travels before it reaches the viewer. Those same upgrades now support financial dashboards, compliance recordings, large-scale investor calls, and other tools that demand immediate data without distortion. Live streaming didn’t grow because it was trendy. It grew because different sectors relied on it for different reasons and ended up shaping one another’s standards.

Why Compression Does Most of the Heavy Lifting

When someone tunes into a live stream, what they actually receive isn’t raw footage. It’s been compressed, trimmed, rearranged, and re-encoded in milliseconds. Most people never think about this part because they never see it.

Compression technology has changed quietly but dramatically. Older systems used fixed rules; newer systems adapt on the fly. If your connection weakens, the stream doesn’t stop; it reorganises itself. The sharpest details stay sharp, less important parts soften, and the video keeps moving.

This adaptability is what lets a financial analyst watch a live earnings call on a train, or a remote employee take part in an onboarding session from a café. Everything hinges on compression working fast enough that the viewer doesn’t realise anything changed.

The Importance of Edge Routing

Another piece of the puzzle sits at the “edges” of the network. Instead of sending all traffic through distant servers, companies now place smaller nodes closer to users. It shortens the distance data has to travel, which cuts down the delay.

Streaming companies borrowed this approach early, but now finance relies on it heavily, too. A real-time trading screen can’t freeze just because thousands of people log in at once. Edge routing spreads the load, redirecting traffic before it builds into a bottleneck.

The biggest advantage is stability. If one route slows down, another picks up the slack. Viewers never notice the switch, but without it, delays would be constant.

Security Built Directly Into the Stream

As streaming expanded, so did the security expectations around it. Encryption is now standard from the moment the feed is created. Tokens determine who can access it. Some systems rebuild the stream each time someone logs in, just to keep it from being reused elsewhere.

In the finance world, this matters because live-streamed meetings often contain sensitive information. In gaming, it matters for a different reason: payments and personal details move through the same systems that carry the video. Platforms want to make sure the wrong person can’t intercept or mimic the stream. Security isn’t a checklist anymore. It’s part of the architecture.

Latency and the Psychology of Timing

Latency, the small delay between an action and the viewer seeing it, affects how people interpret what happens on a screen. A one-second delay during a live interview feels uncomfortable. A half-second delay during a digital card game feels suspicious.

To shrink latency, developers trimmed how long each step takes: capturing, compressing, routing, and displaying. They removed extra buffer space. They rewrote how devices prioritise streaming data over background processes.

The result isn’t instant, but it is close enough that people feel as though the moment is happening right in front of them. In an economy that depends on trust, whether financial or recreational, that perception matters.

AI in the Control Room

A few years ago, live streaming relied mostly on fixed rules. Now, AI systems adjust quality before a user even notices a problem. They guess when the connection is about to dip and prepare alternative routing. They identify whether the image is too sharp for the available bandwidth and soften it before the viewer sees a glitch.

Some platforms use AI to detect motion and decide what needs the most clarity. Others predict peak usage times and shift server loads ahead of time. It is invisible work, but it is the reason modern live streams rarely collapse the way they used to.

How Different Sectors Shape the Technology

The strange thing about live streaming is that the industries shaping it rarely share the same goals. Finance wants reliable logs and verifiable security. Gaming wants speed and low latency. Education wants accessibility on low-bandwidth connections. Entertainment wants clarity.

Because all of these needs overlap in certain places, streaming providers have been forced to build systems that can handle unpredictable demands. A platform that streams a quarterly earnings call in the morning may be supporting a thousand gaming streams at night, and both expect flawless performance. This cross-influence is why live streaming keeps evolving even when users don’t notice any change.

Why the Future Will Depend on Consistency

As AI tools expand, as remote work continues, and as more industries move toward real-time platforms, the pressure on live streaming will only increase.

The next big improvements likely won’t be flashy. They’ll be structural: cleaner paths for data, faster response times during heavy usage, and new protections for everything that moves across a live feed.

Streaming has become one of the quiet pillars of the digital economy. The more people depend on it, the more the technology shifts from convenience to infrastructure.

Conclusion

Live streaming is no longer something reserved for entertainment. It supports financial markets, business operations, gaming platforms, identity verification, and daily communication. Its evolution has been shaped by the industries that needed it most. Often, without users realising the influence behind the scenes.

As more services depend on real-time interaction, streaming will continue moving from a background tool to a core part of how digital systems run. The better it gets, the more invisible it becomes and the more essential it is.

 

How Tech Is Becoming A Prominent Team Member For Legal Teams

In the legal industry, time is everything. And it seems the days of teams spending long hours handling paperwork and manual processes are long gone. As businesses embrace digital technology and become more data-driven, legal teams are under increasing pressure to manage information faster and more effectively. Technology helps fill this gap, becoming an increasingly valuable support and, for many firms, a valued member of the team.

Saving time and money for greater efficiency

The role of a legal team goes beyond providing legal advice. For many businesses, legal departments help form business strategy, in addition to supporting governance and managing risk. Combined with a changing work environment, legal teams need tools that will allow them to work more efficiently, track decisions and access information quickly. While they may not have moved as swiftly as others, legal firms and teams are finally realising the benefits technology can bring.

The impact of technology

Modern legal technology can help with many day-to-day activities. From contract management to compliance tools, teams can process information faster than ever, using collaboration tools to improve visibility across different departments and avoid delays. 

Using AI and automation software, teams can save time on repetitive administrative tasks, allowing legal professionals to focus on higher-value work. With 80% of Irish SMBs set to adopt AI within the year, it seems legal teams are embracing a broader shift towards more effective ways of working, where technology supports decision-making rather than simply taking over traditional human roles. 

Using eDiscovery to benefit in-house teams

One of the most beneficial areas of technology for legal teams is eDiscovery for in-house corporate teams. While discovery may have been previously outsourced, this technology helps teams collect, search and review information to produce reports faster than ever before. For in-house teams, this helps provide greater security over data while boosting response times to keep costs low and maintain compliance. Strict data management is crucial for businesses and organisations, and keeping this information in-house can help remove additional layers of risk.

What’s next?

Legal technology will continue to evolve, becoming a valued team member that supports and enhances the work of firms and in-house teams. By focusing on better integration and tools that solve many common legal challenges, tech can become a partner to allow teams to stay agile. Firms must find ways to introduce this technology and embrace it, keeping up the pace with other business areas like marketing, research and accounting. 

Technology is no longer just a future consideration for legal teams; it can help shape day-to-day operations and save money and time. Efficiency is key for businesses, and the tools available now, alongside those that may be introduced in the future, can help teams work faster and smarter – saving time and money. Teams that put this technology to good use can discover the opportunities available, enhancing legal expertise and freeing up time to focus on the areas that bring value to the business instead.