Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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How Will Artificial Intelligence & Machine Learning Impact Cyber Security

By Nand Kishor |Email | Feb 16, 2018 | 11868 Views

Machine learning (ML) is a branch of artificial intelligence (AI). ML are those technologies that enable computers to learn and adapt through experience. It emulates human cognition i.e. learning based on experience and patterns, rather than by cause & effect. Advancements in machine learning allow machines to teach themselves how to build models for pattern recognition.

The past five years have seen a tremendous rise in AI & ML technologies for enterprises. Among these, most can be attributed to advancements in computing power and the evolution of paradigms like distributed computing, big data and cloud computing.

Early commercial applications of ML were pioneered by technology gurus like Google, Amazon and Facebook. These businesses managed to build a store of valuable behavioral data from millions of users. In order to effectively collect, cleanse, organize and analyze their consumer data, these companies built scalable big data frameworks and applications and open sourced them to the world. By opening access to these big data frameworks, they improved fast and allowed businesses to derive more value from their data.

Organizations are already beginning to use AI to bolster cybersecurity and offer more protections against sophisticated hackers. AI helps by automating complex processes for detecting attacks and reacting to breaches.

Data deception technology products can automatically detect, analyze, and defend against advanced attacks by proactively detecting attackers. So, when one combines security personnel with adaptive technology that continues to change and become smarter over time, it provides a competitive edge to defenders that have primarily been absent from most cybersecurity technologies.

On the other hand, AI can open vulnerabilities as well. It happens particularly when it depends on interfaces within and across organizations that create access opportunities by "bad actors" or disreputable agents. Attackers are beginning to deploy AI too. They have enabled it to have the ability to make decisions that benefit attackers. This means they will gradually develop automated hacks that are able to study and learn about the systems they target, and identify vulnerabilities.


Source: HOB