Not sure about your network security ?  Get a network security audit done by Grayhats

Not sure about your network security ? Get a network security audit done by Grayhats

How to tackle IT audit and compliance–

A security audit is a systematic evaluation of the security of a company’s information system by measuring how well it conforms to a set of established criteria. A thorough audit typically assesses the security of the system’s physical configuration and environment, software, information handling processes, and user practices. Security audits are often used to determine regulatory compliance, in the wake of legislation (such as HIPAA, the Sarbanes-Oxley Act, and the California Security Breach Information Act) that specifies how organizations must deal with information.

Grayhats Approach for Your network Audit

According to Ira Winkler, president of the Internet Security Advisors Group, security audits, vulnerability assessments, and penetration testing are the three main types of security diagnostics. Each of the three takes a different approach and may be best suited for a particular purpose. Security audits measure an information system’s performance against a list of criteria. At we think a vulnerability assessment, on the other hand, involves a comprehensive study of an entire information system, seeking potential security weaknesses. Penetration testing is a covert operation, in which a security expert tries a number of attacks to ascertain whether or not a system could withstand the same types of attacks from a malicious hacker. In penetration testing, the feigned attack can include anything a real attacker might try, such as social engineering etc. At Grayhats we use the grayhats techniques and approcahes to test your network, our certified ethical hackers test your networks rigorously. Each of the approaches has inherent strengths, and using two or more of them in conjunction may be the most effective approach of all.

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What Is Home Automation and How Does it Work?

What Is Home Automation and How Does it Work?

Home automation gives you access to control devices in your home from a mobile device anywhere in the world. The term may be used for isolated programmable devices, like thermostats and sprinkler systems, but home automation more accurately describes homes in which nearly everything — lights, appliances, electrical outlets, heating and cooling systems — are hooked up to a remotely controllable network. From a home security perspective, this also includes your alarm system, and all of the doors, windows, locks, smoke detectors, surveillance cameras and any other sensors that are linked to it.

Grayhats Home Automation Developments – Gplug

Until fairly recently, automated central control of building-wide systems was found only in larger commercial buildings and expensive homes. Typically involving only lighting, heating and cooling systems, building automation rarely provided more than basic control, monitoring and scheduling functions and was accessible only from specific control points within the building itself.

Grayhats Home automation is a step toward what is referred to as the “Internet of Things,” in which everything has an assigned IP address, and can be monitored and accessed remotely. #GPLUG

The first and most obvious beneficiaries of this approach are “smart” devices and appliances that can be connected to a local area network, via Ethernet or Wi-Fi. However, electrical systems and even individual points, like light switches and electrical outlets, were also integrated into home automation networks, and businesses have even explored the potential of IP-based inventory tracking. Although the day is still far off when you’ll be able to use your mobile browser to track down a lost sock, and much more with the Grayhats Gplug.



Grayhats Automation – Simple and dose what it says!

Automation is, unsurprisingly, one of the two main characteristics of home automation. Automation refers to the ability to program and schedule events for the devices on the network- Gplug. The programming may include time-related commands, such as having your lights turn on or off at specific times each day. It can also include non-scheduled events, such as turning on all the lights in your home when your security system alarm is triggered.

Once you start to understand the possibilities of home automation scheduling, you can come up with any number of useful and creative solutions to make your life better. And then the Gplug came in to make your life more smart and efficient.

Is that west-facing window letting in too much light? Plug your motorized blinds into a “smart” outlet and program it to close at noon each day. Do you have someone come by at the same time each day to walk the dog? Program your home automation system to unlock the front door for them, and lock it up again when they’re done.

Remote Control

The other main characteristic of cutting-edge home automation is remote monitoring and access. While a limited amount of one-way remote monitoring has been possible for some time, it’s only since the rise in smartphones and tablets that we’ve had the ability to truly connect to our home networks while we’re away. With the right home automation system, you can use any Internet-connected device to view and control the system itself and any attached devices.

Grayhats app can provide a wealth of information about your home, from the status of the current moment to a detailed history of what has happened up to now. You can check your security system’s status, whether the lights are on, whether the doors are locked, what the current temperature of your home is and much more. With cameras as part of your home automation system, you can even pull up real-time video feeds and literally see what’s going on in your home while you’re away.

Stay Tuned for the Gplug 

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IoT Next Big thing – Grayhats

IoT Next Big thing – Grayhats



For those of you anxiously awaiting the future, we’ve good news – it’s already here! Some technologies, which were just creative visions a decade back are all a reality now. Remember the scene in one of the back to the Future movies, where Marty McFly wears a virtual reality device? A reality now! The self-driving cars in Total Recall? Or the smart homes in Electric Dreams,? All are for real now.

Grayhats has been working on getting this technology to you at your finger tips at a an affordable cost. Grayhats IoT devices will be more of life hack device making your life really easy. And deliver international level customer experience.

Grayhats IoT devices will be made available at amazon, ebay, flipcart and other ecommerce platform.

We at grayhats thrive to get this high end technology to the smallest communities at the best price.

And what’s the technology that’s been driving these visions into a reality? It’s called the Internet of Things (IoT). This fancy name for all-things-connected has been a buzzword for quite some time in the IT, offering us convenient solutions to most of our everyday concerns.


For the uninitiated, IoT or the Internet of Things is the technical term for an ecosystem of connected devices that collect data from the sensors embedded in them and send them to the processing centres. The collected data then gets analyzed or processed and comes out as optimized information, offering smart, intuitive, and personalized solutions.


If you’re unaware, the technology is already up and running in the market and you might have used that at one point or the other, too. Your smartphone is one of the components of IoT and if you’ve used a smartwatch or a health band, you’ve used IoT. From smart homes, smart toothbrushes, smart refrigerators, to smart coffee brewers, IoT is touching everything


The Rise of Grayhats IoT

Like you can see, IoT is here to stay. As the everyday things we use start becoming smarter, the role of IoT will only become more prominent. Besides just personal devices, IoT is making its mark in industries and businesses such as manufacturing, oil and gas mining, transportation, agriculture, retail, logistics, infrastructure, banks, healthcare, aviation and more.


If numbers fascinate you, there are currently 6 billion connected devices globally, producing 2.5m TB of data. And let me remind you that this is just a day’s count. Three years down the line, this number is expected to shoot up to 30m TB every day. Now, that’s a lot of data. So, what’s clear from this is IoT will rule the IT for the next couple of decades.


What’s in it for You?

The answer is simple – a lucrative career and an avenue to explore and leave a remarkable impact. With the amount of data generated by these connected devices only increasing, a huge demand for data scientists and analysts to process the data and get crucial insights on things that matter to a business or the society is on the rise as well.
In case you didn’t know, tons of people out there have already woken up to IoT and have realized its scope and opportunities. Moreover, programmers today are reskilling to IoT and learning all the necessary programming languages and modules to become IoT experts. However, IoT being an extensive field, it’s not just placed for programmers but for anyone with the right skillset.

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AI and design: What will you as a designer of the future look like?

AI and design: What will you as a designer of the future look like?

Grayhats is exploring the impact of artificial intelligence on design in a series of blog posts. Our first piece outlined the unprecedented changes AI and IoT will bring to jobs in general, and his second piece looked at automation and intelligent machines. Here, we investigates what it takes for some professions to compete with machines. 


For anyone doubting that AI is here, the New York Times recently reported that Carnegie Mellon University plans to create a research centre that focuses on the ethics of artificial intelligence. Harvard Business Review started laying the foundation for what it means for management, and CNBC started analysing promising AI stocks. I made the relatively optimistic case that design in the short term is safe from AI because good design demands creative and social intelligence.

But this short-term positive outlook did not alleviate all of my concerns. This year, my daughter started college, pursuing a degree in interaction design. As I began to explore how AI would affect design, I started wondering what advice I would give my daughter and a generation of future designers to help them not only be relevant, but thrive in the future AI world.

Here is what I think they should expect and be prepared for in 2020


Everyone will be a designer


Today, most design jobs are defined by creative and social intelligence. These skill sets require empathy, problem framing, creative problem solving, negotiation, and persuasion. The first impact of AI will be that more and more non-designers develop their creativity and social intelligence skills to bolster their employability. In fact, in the Harvard Business Review article I mentioned above, advice #4 to managers is to act more like designers.

The implication for designers is that more than just the traditional creative occupations will be trained to use “design thinking” techniques to do their work. Designers will no longer hold a monopoly (if that were ever true) on being the most “creative” people in the room. To stay competitive, more designers will need additional knowledge and expertise to contribute in multidisciplinary contexts, perhaps leading to increasingly exotic specializations. You can imagine a classroom, where an instructor trained in design thinking is constantly testing new interaction frameworks to improve learning. Or a designer/hospital administrator who is tasked with rethinking the inpatient experience to optimize it for efficiency, ease of use, and better health outcomes. We’re already seeing this trend emerge—the Seattle mayor’s office has created an innovation team to find solutions to Seattle’s most immediate issues and concerns. The team embraces human-centred design as a philosophy, and includes designers and design strategists.

Stanford’s school has been developing the creative intelligence of non-traditionally trained designers for over a decade. And new programs like MIT’s Integrated Design and Management program are also emerging. Even medical schools are starting to train future physicians in design thinking. This speaks to design’s broader relevance, but also to a new opportunity for educators across disciplines to include creative intelligence training and human-centered design in their curricula.




Designers as curators, not creators


The real breakthrough with DeepMind’s Deep Q, and its successor AlphaGo—the computer program that plays the board game Go—is that the AI doesn’t have any domain knowledge or expertise in game play. And it doesn’t even need someone to codify the rules of how to play. It just has visual input, controls, and an objective of trying to maximize its score. To that extent, games are an ideal test environment for artificial intelligence to learn.
But what about design? That’s where the curator role comes in. In the future, designers will train their AI tools to solve design problems by creating models based on their preferences.
For instance, after years of working in the health care space, Artefact has developed a deep and broad perspective on the key issues in digital health design necessary for changing patient behaviours. I can imagine a time when we will have enough data to enter behaviour goals and ask the AI system to design a solution framework that overcomes anticipated issues like confirmation bias and the empathy gap.

Designing AI, designing the future of humanity


By framing the argument to show how AI is stealing our design jobs, I’ve perhaps done a disservice to AI’s contributions to the design profession. When humans and computers work together, they can do amazing things that neither could do alone—just take a look at Michael Hansmeyer’s unimaginable shapes. With their millions of facets, these forms cannot be built by a human alone, yet they can redefine architecture.

While this is just one example, there is something undeniably appealing about finding ways to amplify our creativity as individuals and across professions. I can see the potential for a future where our personal AI assistants, armed with a deep understanding of our influences, heroes, and inspirations, constantly critique our work, suggesting ideas and areas of improvement. A world where problem-solving bots help us see a problem from a variety of perspectives, through different frameworks. Where simulated users test things we’ve designed to see how they will perform in a variety of contexts and suggest improvements, before anything is even built. Where A/B testing bots are constantly looking for ways to suggest minor performance optimizations to our design work.

Far from threatening the design occupation, AI offers a huge opportunity for design, especially for those involved in designing the interactions we have with the emerging AI systems. How do we design those AI design tools? How will we design the intelligent services and platforms of our future? How should we design these systems in a way that helps us augment our creativity, our relationships with the world, our humanity?

That is a tall order and an exciting opportunity for us and for the generations to come.

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How Artificial Intelligence Will Impact our work – Grayhats

How Artificial Intelligence Will Impact our work – Grayhats

What can  Artificial Intelligence and IoT can do for us ?


Essentially, artificial intelligence is about creating smart machines and software that work and react like humans. The technology is likely much more varied and sophisticated than what you may have seen in science fiction movies. AI is being developed today that works on everything from speech recognition to analytics, problem solving, and beyond. AI can take on many different forms, from customer service robots to Internet-of-Things connected smart machines, and could look like anything from data processing machines to virtual assistants and sensor-based manufacturing components. And across all industries, it seems like AI is revolutionizing how people work.

Grayhats is trying to create products combing  these technologies. We truly believe AI with data sciences and Internet of things can help us build and scale revolutionary products.

The idea of AI is far from now, it was first written about by Alan Turing in 1950, when he posed the question, “Can machines think?” The idea was particularly forward-thinking considering that the first general-purpose computer had just been created. AI has been in the works for decades, but it has only been recently that the technology has been in place to make theoretical dreams a reality. The two biggest developments to bring AI to the forefront were big data and computing power; AI relies on vast amounts of data to truly be an effective intelligent system, but up until recently that data wasn’t available and computers couldn’t have handled it if it was.

AI is also a fundamental part of the concept of the Internet of Things – a world where machines and devices all communicate with each other to get the work done, leaving us free to relax and enjoy life.

However, as we’ve previously seen with the internet revolution, and the big data revolution, and all the other technological revolutions of recent times, there are obstacles to be overcome before we reach this technological utopia. As businesses scramble for their share of a $70 billion market, some will inevitably prosper and some will fail. Those that manage to succeed are likely to be those which can manage to see beyond the hype – and answer hard questions about how this technology can add real value and drive positive change.

The concern that this technology will lead to widespread unemployment is also beyond the scope of this piece, but it does touch on the first point I want to make. Employees are often a business’s biggest expense, but does that mean it’s sensible to think of AI as primarily a means of cutting HR costs? I don’t think so. The fully autonomous, AI-powered, human-free industrial operation is still some way from becoming reality and human employees working alongside AI machines is likely to be the way of things for a while yet.

The field was founded on the claim that human intelligence “can be so precisely described that a machine can be made to simulate it”. This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been explored by myth, fiction and philosophy since antiquity. Attempts to create artificial intelligence have experienced many setbacks, including the ALPAC report of 1966, the abandonment of perceptrons in 1970, the Light hill Report of 1973, the second AI winter 1987–1993 and the collapse of the Lisp machine market in 1987. In the twenty-first century, AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science.

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