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Ali Haider

Senior Cybersecurity Consultant at SecureWorks

NY, United States

With over 15 years of international experience, Ali Haider is an multi International Award Winner, Judge, Mentor and esteemed consultant in the realm of technology and cybersecurity. Throughout his endeavor, he has traversed various regions including the Middle East, Europe, and the United States. Along the way, he has consistently risen to demanding positions within prominent global technology and consulting companies. Ali's expertise has played a pivotal role in spearheading numerous victorious cybersecurity initiatives and projects encompassing a wide range of fields. These include governance, risk management, compliance, infrastructure design, security assessments, network design and architecture, secure network communication, data centers, secure wireless solutions, and overall cyber security services. Ali's endeavor has reached diverse sectors such as insurance, banking, health, agriculture, education, government, and the private sector.

As the “Senior Consultant – Global Professional Service” at Secureworks, his role has been instrumental in enhancing visibility and detection as well as elevating the security posture for his client’s. Ali has deep insights to guide organizations through the particulars of the cybersecurity landscape, ensuring they remain resilient against evolving threats. He is an exceptional trainer, he trained more than 100 companies with 500+ induvial. Not only his commitment and innovative thoughts earned him respect, but he's been recognized and appreciated by the organizations as well.

Before joining Dell Secureworks in USA, Ali had a successful career at Fortune 500 companies such as IBM, STC, and DELL UAE. During his time at these companies, he gained valuable experience in the technology and business world and had the opportunity to work on cutting-edge projects. Furthermore, he had multiple individual contributors, critical leadership roles while driving key initiatives, service transitions and continuous improvement in processes on critical projects.

As passion fuelled cybersecurity consultant, he had earned several international credentials in networking and cyber security such as SANS, Cisco Expert (CCIE), CISSP, CISM, CRISC to ensure that he stay ahead of intruders, fraudulent users, adversaries, and threat actors.

Ali Haider Points
Academic 5
Author 1
Influencer 0
Speaker 0
Entrepreneur 0
Total 6

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Company
Minimum Project Size: N/A
Average Hourly Rate: N/A
Number of Employees: 1,001-5,000
Company Founded Date: 1999

Areas of Expertise

Cloud
Coaching
Cybersecurity 30.15
Data Center
Digital Transformation 30.01
Emerging Technology
HealthTech
IoT 30.05
IT Leadership
IT Operations
IT Strategy
Leadership
Management
Project Management
Security 30.29

Industry Experience

High Tech & Electronics
Professional Services
Telecommunications

Publications & Experience

1 Article/Blog
Ali Haider’s Approach to Zero Trust Architecture
usbusinessnews
July 31, 2024
In the digital age, where cyber threats loom larger and more sophisticated by the day, traditional cybersecurity defenses are finding themselves outpaced and outdated. The castle-and-moat approach to security, with its implicit trust once inside the perimeter, has shown its vulnerabilities in the face of insider threats and sophisticated cyber attacks. Enter Zero Trust Architecture (ZTA), a paradigm that refuses to take anything at face value, insisting instead on constant verification, strict access control, and a fundamental assumption that breach is inevitable. This article delves into how ZTA is redefining organizational security measures for enhanced protection against modern cyber threats.

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Tags: Cybersecurity, Digital Transformation, Security

1 Journal Publication
Hybrid Intrusion Detection System for RPL IoT Networks Using Machine Learning and Deep Learning
IEEE
August 12, 2024
The Internet of Things (IoT) is transforming everyday objects. However, its devices’ limited memory, processing power, and network capabilities make them susceptible to security breaches. The Routing Protocol for Low-Power and Lossy Networks (RPL) is a promising IoT protocol but faces significant security challenges. Existing research often focuses on individual attacks, utilizing various mitigation strategies, including machine learning and deep learning for detection. This paper proposes an Intrusion Detection System (IDS) using the ROUT-4-2023 dataset, which encompasses Black Hole, Flooding, DODAG Version Number, and Decreased Rank attacks. The study utilizes statistical information graphs to investigate network traffic features encompassing all four attacks. Additionally, it experiments with various machine learning models and deep learning architectures for comparative analysis, focusing on confusion matrix outcomes and computational efficiency. Results indicate that the Random Forest classifier achieves 99% accuracy, while Transformers reach 97% F1-Score with a training time of only 16.8 minutes over five epochs.

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Tags: Cybersecurity, IoT, Security

Thinkers360 Credentials

1 Badge

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