Dhiraj Sharan

Dhiraj Sharan
Dhiraj is the founder and CEO of Query.AI. He is an innovator and expert developer with 18 years of problem solving and solutions development in cybersecurity including over 10 patents. He has lead engineering for companies like ArcSight, HPE, Niara and Aruba.
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Recent Posts

How to Use Netcat for Cybersecurity

Posted by Dhiraj Sharan on Aug 5, 2020 8:00:00 AM

To start a career as a security analyst, one must have a good understanding of the network and knowledge of networking tools. Let's begin with netcat.

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Topics: Cyber Security, cybersecurity, netcat, Linux

Dipping our toes into OpenSSL

Posted by Dhiraj Sharan on Jun 23, 2020 8:00:00 AM

What would life be without OpenSSL, can we even imagine one! 

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Topics: encryption, openssl, decryption

Checklist for Securing your home-grown IT applications

Posted by Dhiraj Sharan on Jun 9, 2020 8:00:00 AM

A software application is a program or multiple programs that help end-users. Most applications use network resources, database resources, storage, and other cloud resources, to function. This connectedness is vital to keep in mind, not only how your end user may interact with the application, but also how vulnerable the application may be to malicious actors. One may use several different methods to protect the application, but a determined attacker with sufficient resources may access your application. So, how can we secure your home-grown IT applications? 

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Topics: Cyber Security, it applications, security checklist

Creating a Time-Series Analysis Using Python

Posted by Dhiraj Sharan on May 21, 2020 8:00:00 AM

Python is an incredibly powerful programming language. It is not only for small school projects but instead, also used for Google AI in photo recognition and other monumental projects.

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Topics: Python, Data Exploration, time-series, Data Science

Working Under Supervision

Posted by Dhiraj Sharan on Apr 16, 2020 8:00:00 AM

Introduction

Like it or not, most of us have a boss, and thus, we work under supervision. Our boss's job is to make sure we stay focused and complete our work. We have quotas to fulfill and projects to complete. They know what the desired and expected outcomes are, the same way data scientists understand the result they are trying to produce with supervised learning.

 

Supervised learning using Python

This blog is the third one of the series on learning Machine Learning using Python. In the first one, DataScience & Machine Learning: Where to start with Python, we covered setting up Python and installing the relevant libraries. In the second one Looking further into Machine Learning using Python, we covered different machine learning techniques and became familiar with supervised learning. We also talked about the scikit-learn toolkit and saw the SVM approach used due to its flexibility and usefulness.

Photo by Brooke Lark on Unsplash
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Topics: Machine Learning, Artificial Intelligence, Supervised Learning, Linear regression, Logistic regression

Looking further into Machine Learning using Python

Posted by Dhiraj Sharan on Mar 3, 2020 8:45:00 AM

Introduction

Welcome back! Earlier, we had covered the basics of getting started with machine learning and Python. (Here is that blog if you missed that: DataScience & Machine Learning: Where to start with Python) The current blog will take the next step and introduce some ML (Machine Learning) concepts and algorithms.

Since we are going to use Python, we will stick to the sklearn Python library as our choice.

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Topics: Machine Learning, Python, Unsupervised Learning, Supervised Learning

Data Security - Threats and Challenges in today's world

Posted by Dhiraj Sharan on Feb 4, 2020 11:59:45 AM

Abstract

In this blog series, we cover topics relevant to folks who are starting a career in cybersecurity. If you are one, you probably have had some exposure to cybersecurity best-practices in your personal life from a consumer perspective. Starting a cybersecurity career then challenges you to bridge your existing knowledge to your work life, and then expand it further to be an effective cybersecurity professional. In this first blog, we talk about some of the threats and challenges in today’s world that intertwine our personal and professional lives.

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Topics: Threat Detection, Cyber Security, Digital Footprint, Internet of Things, Iot

Alexa + Watson + Tableau + Slack

Posted by Dhiraj Sharan on Jan 2, 2020 9:49:30 AM

What does this have to do with my IT & Cybersecurity log analysis

Introduction

Cyber threats are accelerating by leaps and bounds in frequency and sophistication. At the same time, the cybersecurity skills shortage is growing, a projected 1.8 million empty positions by 2022. Artificial Intelligence(AI) will have a pivotal role to play to halt these growing problems.

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Topics: AI for Security, Machine Learning, Artificial Intelligence, Cyber Security, Splunk, Elastic

Basics of Applied Natural Language Processing (NLP)

Posted by Dhiraj Sharan on Dec 12, 2019 2:32:17 PM

Introduction

This article serves as a gentle introduction to natural language processing and how it makes life better.

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Topics: Introduction, Artificial Intelligence, Cyber Security, Natural Language Processing, NLP

Get To Know Query.AI

Posted by Dhiraj Sharan on Dec 4, 2019 12:11:47 PM

In the world of cyber warfare, cybersecurity threats to businesses are accelerating by leaps and bounds. They are fast and often out pacing organizations ability to prepare. According to a early 2019 Internet Security Threat Report published by Symantec, a single misconfigured cloud infrastructure could result in loss of millions or could create a compliance nightmare for the organization such as that of GDPR – General Data Protection Regulation.

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Topics: Threat Detection, Artificial Intelligence, Cyber Security, Splunk, Elastic