Month: May 2019

Artificial Intelligence in Cybersecurity

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In a world of automation, technology experts have made it so that even computers think for themselves. We are talking about artificial intelligence, which is being used in many industries for several different applications. This blog discusses the ways artificial intelligence is advantageous in the cyber security domain. Artificial intelligence or AI is the technology that can be used to make specific computer systems think and make decisions by themselves.

There are two sides to artificial intelligence. One is the side that people can take advantage of in making their tasks easier and creating systems that can self-learn and perform specific functions by themselves. The other side focuses on the potential dangers presented by the ingenious computer systems that use artificial intelligence. Artificial intelligence is still in its early stages, and there is still time till a full-fledged artificially intelligent and self-aware system is created. Some examples of artificially intelligent systems are the personal assistants that are used in smartphones manufactured by several mobile phone manufacturing companies, the personal assistants available in various IoT devices, and many walking and talking robots.

Cybersecurity industry can also benefit from artificial intelligence technology. In fact, many cybersecurity controls are currently being developed that have in-built artificial intelligence capabilities that can help in keeping threat actors at bay. By using artificial intelligence, security systems can predict things, such as attack patterns, the type of attack used, whether the network traffic that is coming in is malicious or not and other things that can be predicted by leveraging artificial intelligence technology and will be helpful for security professionals in creating security strategies for an organisation.

Cybersecurity is frequently portrayed as an unjustifiable fight between the assailant and the safeguard. Also, on a majority of the occasions, the adversaries are able to accomplish their objectives and dodge the security controls in light of the fact that the threat actors dependably remain one stage in front of the people who are trying to defend their systems. It gets challenging to organize various security aspects within a network as there are a lot of factors involved in each layer of defense. Attackers are easily able to exploit the human factor of an organization’s network.

Cybersecurity can obtain numerous benefits from artificial intelligence. With the help of artificial intelligence, cybersecurity professionals can highly improve security processes, such as threat detection, network security, and threat handling. It enables us to re-concoct the system and network designs and the manner in which everything is connected with the assistance of wise processing machines. Security professionals can create super-intelligent networks that contain self-learning security systems that are able to take care of security breaches or other types of security threats. Ingenious bots might just supplant the vulnerable human component of a network in the coming future. The beginning of AI can possibly make the cybersecurity industry to flourish.

Examples of artificially intelligent cybersecurity systems could be the Intrusion Detection Systems and Intrusion Prevention Systems that use artificial intelligence to detect and prevent cyber-attacks. These systems are able to figure out the malicious traffic from the legitimate one and help organizations to safeguard their critical systems and information. These systems are able to lower down the number of false positives and increase the percentage of detection of cyber-attacks.  Attackers keep on using various new tricks and techniques to fool security systems. One such technique is using polymorphic malware. But, security devices, such as IDS and IPS, that use artificial intelligence can easily track down such attacks and save the company’s network and sensitive information from being compromised.

Starting Hardware for ML( Machine Learning )

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Most businesses have decided that AI is critically important for their competitiveness. They don’t always know yet what kind of AI, and they often don’t know how and where  to get started, but they are making provisions for AI in their budget. And they are asking developers to start experimenting. Larger businesses can afford to recruit skilled developers, and smaller businesses ask their current team to develop the necessary skills. We are seeing a lot of trial and error among these businesses right now, some with fear and anxiety. Nevertheless, there is  also a distinct urgency that drives these companies, they are anxious to not fall behind. Developers and programmers are working hard to get a good grasp of the deep learning (DL) frameworks, with increasing their data sets, and starting to develop models. Developers need free rein to bring this important new AI capability into the business, and the best way to achieve this is by giving them their own tools. Of course, those tools need to be suitable and strong enough for simple ML tasks to heavy-duty tasks as DL. A workstation with multiple powerful GPUs and a well-integrated, fully optimized stack is ideal for developers in this experimental stage. It allows them to get to production-scale deep learning much faster, which means that the business will start benefiting sooner from the models and algorithms they develop.

I will welcome reader’s comments and suggestions.

Posted By-: Vissicomp Technology Pvt. Ltd.

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If You Want A Tech Job In Video Streaming,You Need To Master Python Coding Language

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It’s a really good time to be a programmer. In this age of digital boom, the profession is in demand in everything from banking, to research, to app development, and more.In fact, if you’re a Python programmer, there’s a good chance


Python developers at Netflix say the programming language is a major part of the popular video streaming platform. They claim the language is used throughout the “full content lifecycle”. It’s in everything from Netflix’s security features, to its algorithm that recommends content based on your watch history, to even its proprietary content distribution network.

The language is open-source too, meaning anyone can technically pick it up and try it out. Github is full of various Python-powered projects of both large and small scale. Python is also one of the more popular programming languages these days too, finding uses in everything from development to cybersecurity to machine learning

“Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems,”

Posted By-: Vissicomp Technology Pvt. Ltd.

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