Toqsoft

India lost ₹22,495 crore to cyber fraud in 2025, and that is a warning for every business building digital products.

A fake job link, a suspicious QR code, a cloned website, a phishing message, or a payment request can look completely normal to the user until the damage is done.

That is why the launch of the ScamMukt app caught our attention.

The app, developed by Project Bear Corp, uses AI to help users identify suspicious links, fake websites, malicious QR codes, UPI scams, and phishing attempts before they lead to financial loss.

For us at Toqsoft, ScamMukt is not just another safety app; it reflects where digital products are heading: towards trust, prevention, and built-in security.

As AI helps businesses build faster, it is also helping fraudsters personalise attacks, imitate brands, create fake pages, and target users at scale.

That means businesses can no longer think of security as something to fix after launch. It has to be part of the product architecture, user journey, integrations, and platform logic from day one.

That is why we help businesses build secure and scalable web applications, mobile apps, cloud platforms, AI/ML solutions, and customer communication systems with security and user confidence at their core.

If you're building technology where security and trust matter, let's connect.

is spending a massive $5 billion on a hidden risk sitting inside almost every app your business uses.

Most modern software is not built from scratch anymore.

Your banking app, healthcare platform, e-commerce website, SaaS product, AI tool, cloud dashboard, and customer communication system are all sitting on open-source components.

That is what makes open source powerful.

It helps companies build faster, reduce costs, and avoid reinventing the wheel. But it also creates a risk that most businesses badly underestimate.

One vulnerable library.
One outdated dependency.
One compromised package.
One delayed patch.

That is enough to expose an entire product, even if your own code looks clean.

This is why IBM and Hat’s Project Lightwell is worth paying attention to.

They have committed $5 billion and more than 20,000 engineers to help enterprises identify open-source vulnerabilities, validate fixes, and strengthen software supply chains at scale.

The timing matters because AI is changing both sides of software.

AI is helping teams build faster, but it is also helping attackers find, test, and exploit vulnerabilities faster.

That is the real shift businesses cannot ignore.

Security can no longer be a final-stage checklist. It has to be built into software architecture, cloud infrastructure, AI systems, integrations, and product development from day one.

At Toqsoft, we help businesses build secure and scalable digital solutions across web, mobile, cloud, AI/ML, and customer communication platforms.

Because the companies that treat security as a growth advantage may earn the most trust in the years ahead.

If you're building business-critical digital products and want security embedded from the ground up, let's connect.

blocking ₹21,000+ crore worth of App Store fraud in one year reveals a much bigger problem the app industry is facing.

Behind every app download today is an invisible battle against fake apps, AI-generated scams, fraudulent reviews, malware, payment fraud, and fake developer accounts.

And the scale is enormous.

Apple reviewed over 9M app submissions in 2025, rejected more than 2M apps, blocked 195M fake reviews, and stopped over 1.1B attempts to create fraudulent customer accounts.

As AI makes app building faster and cheaper, the volume of low-quality and malicious apps will likely rise sharply.

That means the competitive advantage will increasingly shift toward trust, security, compliance, privacy, platform reliability, responsible AI implementation, and long-term user confidence.

Users today are becoming far more careful about which apps they trust with their money, health data, communication, and personal information.

At Toqsoft, we believe modern app development is about building secure, scalable, intelligent, and trustworthy digital products that users can confidently rely on.

As AI-driven fraud grows more sophisticated, businesses will need stronger:
- App security architectures
- Fraud prevention systems
- AI-powered monitoring
- Privacy-first workflows
- Secure payment integrations

We build custom web apps, mobile apps, cloud platforms, and AI/ML Systems for businesses designed with scalability, security, and user trust at the core.

If your business is planning secure, scalable digital products for the future, let’s connect.

A massive software engineering reset is already underway. Most businesses still do not see it.

According to the latest report from , by 2027, over 65% of engineering teams using agentic coding are predicted to treat Integrated Development Environments (IDEs) as entirely optional.

For years, AI coding tools mainly acted as assistants:
- Suggesting snippets
- Autocompleting functions
- Helping developers code faster

Now the industry is moving toward fully agentic software development, where AI systems actively plan, write, review, test, and validate software across the entire Software Development Life Cycle (SDLC).

This changes how engineering teams will operate in the future.

At Toqsoft, we believe the next phase of digital transformation will be defined not just by AI capability, but by enterprise readiness.

The early excitement around AI coding tools is now giving way to a tougher reality where governance, compliance, security, reliability, and operational control matter far more at scale.

Large-scale AI deployment requires structured orchestration, secure workflows, and systems businesses can trust consistently.

As a technology partner experienced in managing global applications, we help businesses balance rapid innovation with long-term operational stability.

At Toqsoft, we build AI-first web platforms, mobile apps, cloud systems, AI/ML solutions, and IoT products designed for scalable enterprise environments.

If your business is exploring AI-driven transformation, let’s connect.

Will AI agents kill the app economy, or are we witnessing the greatest software rebirth of our time?

As WWDC 2026 approaches, Silicon Valley is debating whether autonomous agents and vibe-coding will make traditional apps obsolete.

However, the ground reality at the Developer Centre in Bengaluru tells a far more nuanced story.

Shipping an app with a few prompts is easy. Building one that understands human behaviour is much harder.

A developer built Pockity to help people log expenses in seconds so they could spend more time living “real life.” Another built Peak to give users more control over constantly shifting health goals.

With iOS App Store launches reportedly up nearly 80% YoY in Q1 2026, we believe the app economy doesn’t look like it’s dying. It's becoming AI-native.

AI can accelerate development, automate workflows, and generate code. But great products still require strong UX thinking, product judgment, privacy architecture, and a deep understanding of user intent.

At Toqsoft, we believe AI will increasingly operate inside applications rather than replace them entirely.

The next generation of products will combine AI automation, personalised experiences, voice interfaces, intelligent communication, and human-centred design.

That’s where modern software development is heading.

We help businesses build AI-powered web, mobile, cloud, AI/ML, IoT, and communication solutions designed for this AI-first era.

The companies building human-first AI experiences today may define the next decade of software.

If you’re exploring AI-native products, let’s connect.

2026

may have just triggered one of the biggest shifts yet in how startups and small businesses operate daily.

The AI giant just leveled the playing field for startups/small businesses with the launch of “Claude for Small Business,” a.k.a CSB.

It is a suite of automation tools designed to live within the apps you already use, such as , , , , , and Workspace.

For the last two years, most AI companies have focused heavily on large enterprises with massive budgets, custom deployments, and complex AI infrastructure.

Now the focus is moving toward SMBs, and that may become an even bigger market.

Millions of businesses still spend countless hours on:

•⁠ ⁠Invoice follow-ups
•⁠ ⁠Customer communication
•⁠ ⁠Payroll coordination
•⁠ ⁠Workflow management
•⁠ ⁠Meeting summaries and documentation

Most business owners want simpler operations, faster ex*****on, and fewer late nights.

That is where AI automation is becoming powerful.

At Toqsoft, we believe the next wave of business technology will be defined by how effectively companies integrate AI into everyday operations.

The real advantage will come from turning AI into practical ex*****on across workflows, customer experiences, and decision-making systems.

That’s why we help businesses build AI-enabled solutions across web and mobile platforms, cloud systems, AI/ML, IoT, and intelligent customer communication technologies.

The companies that learn to automate intelligently today may build a very different growth curve over the next five years.

If your business is exploring AI-first operations, let’s connect.

One small change inside 's hiring process will soon force every CTO to rethink how they judge engineering talent.

For years, companies hired developers by testing how well they could solve coding problems under pressure.

But in the AI era, that is not how tech giants hire anymore.

Google is reportedly planning to allow candidates to use Gemini during certain coding interview rounds focused on debugging, optimisation, code understanding, and problem-solving.

Here is why that matters for you.

Today, AI can already generate APIs, write boilerplate code, debug code, create test cases, and navigate large codebases faster than humans.

So the real business challenge is no longer just development speed.

It is whether tech teams can use AI to deliver stable, scalable, and production-ready systems without creating technical debt, security risks, or long-term maintenance problems.

That is where strong engineering judgment still matters.

We believe companies will increasingly choose technology partners based on ex*****on quality, architecture thinking, faster release cycles, and responsible AI integration.

At Toqsoft, we are already using AI-assisted engineering workflows across web and mobile applications, cloud platforms, enterprise systems, AI/ML solutions, and IoT projects to help businesses move faster without compromising scalability or reliability.

If your business is modernising its technology stack, Toqsoft can help you build faster and more reliably.

The future of customer support may no longer start with “Press 1 for English.”

has introduced a new generation of voice models: GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper, capable of reasoning, translating, and transcribing conversations across 70 languages in real time.

Imagine this:
A customer speaks in Hindi.
The support agent replies in English.
Another participant joins in Tamil.

Everyone hears the conversation in their own language while the entire interaction is transcribed instantly in the background.

That changes everything about how businesses can build voice experiences.

For India, the possibilities are massive:
- Multilingual customer support
- Regional-language healthcare access
- Voice-led education platforms
- AI-powered call centers
- Real-time event translation
- Smarter field-service and logistics communication

But the biggest shift is the removal of friction.

People no longer need to switch languages, repeat themselves, or navigate rigid IVR systems. Conversations become more natural, contextual, and efficient.

At Toqsoft, we see this as the next phase of AI adoption. Businesses that once focused only on chatbots and text automation are now moving toward intelligent voice systems that can handle real-world multilingual interactions.

Voice AI in India is entering a completely new era, and this space is likely to evolve very quickly over the next few years.

If you're exploring how AI-powered voice experiences can transform your business, let’s connect.

Is the era of "Set and Forget" software engineering finally here?

The buzz around 's Mythos model suggests we may be closer than we think.

Unlike earlier tools that assisted developers in fragments, Mythos reportedly handles end-to-end software tasks like writing, testing, and debugging in a single flow.

Early testers are describing it as a tool they can finally "set and forget" for hours-long tasks.

But that’s exactly where the complexity begins.

As Salil Parekh, CEO of , pointed out, it’s still too early to draw conclusions. The model isn’t widely accessible yet, and real insights will come from hands-on use.

If AI can independently build software, it can also introduce vulnerabilities at scale, such as security gaps, hidden bugs, and governance challenges.

And this is where the opportunity starts taking shape.

The role of IT companies may not shrink. It will evolve from writing code to validating, securing, and orchestrating AI-driven systems.

At Toqsoft, this shift is already visible in how clients are thinking. They want systems that are reliable, secure, and scalable in an AI-first world.

From AI & ML solutions to cloud, mobile, and enterprise applications, the focus is on building tech that works with AI, not against it.

If you’re exploring how to integrate advanced AI while maintaining performance and security, let’s connect.

Your iPhone camera is about to become your primary interface with the digital world.

Apple bringing a Siri-powered AI mode into the camera with iOS 27 is less about hardware and more about behavior change.

With this update, you won’t just capture a moment. You’ll interact with it.

Point your camera at a product, a document, or a street sign, and you can ask questions, extract information, or even take actions like saving contacts or adding events.

This is Apple aligning with a broader shift already driven by players like OpenAI and , where AI is not a feature layer but the core interaction layer.

From a product and engineering lens, this changes everything:

- UX moves from screens to context
- Inputs become multimodal (image, voice, text)
- Systems must respond instantly and accurately
- Security and privacy become non-negotiable

For businesses, the implication is clear: If users stop navigating apps and start interacting through AI, traditional app design will need to evolve fast.

At Toqsoft, this is exactly the shift we are building for.

From AI/ML to mobile and cloud apps, the focus is on creating intelligent applications that process images, text, and intent together in real time.

If you’re looking to modernize your applications for this shift, let’s connect.

Image Credit: Entrelligence