
Junaid Khalid
Cybersecurity, Compliance and AI Specialist, Locul
I am a cybersecurity, compliance and AI specialist and the face of Locul. At GFI Software I led presales for EMEA and APAC, authored GFI's detailed ISO 27001 guide, worked on NIST, EU AI Act and GDPR content, and ran security engagements with NASA, the British Ministry of Defence, Saudi Arabian Airlines, Banco Afirme, Infosys and TCS. Earlier I did AI research in Italy and Islamabad and was Head of AI, then CTO, at Ingenio EC. I write about private, compliant AI.
At a glance
- Authored GFI Software's detailed ISO 27001 guide and worked on its NIST, EU AI Act and GDPR content
- Presales Lead for EMEA and APAC at GFI Software (2022 to 2024) across firewalls, email security, email archiving, patch management and bandwidth management
- Cybersecurity and compliance work with highly regulated organisations: NASA, the British Ministry of Defence, Saudi Arabian Airlines, Banco Afirme, Infosys and TCS
- Ran webinars across EMEA and APAC and trained 50+ channel partners in those regions
- Head of Artificial Intelligence, then CTO, at Ingenio EC, after AI research at the University of Insubria (Italy) and TUKL-NUST (Islamabad)
About
I work where cybersecurity, compliance and AI meet. Most teams I talk to want AI on their own documents and inboxes, and the questions that stop them are security questions: where does the data go, who can see it, and what will the auditor ask. Today I am the face of Locul, a product of Ertiqah LLC in the USA, and those questions are what I write about on this blog.
From January 2022 to June 2024 I was Presales Lead for EMEA and APAC at GFI Software, consulting across its whole security and networking line: Kerio Control firewalls, GFI MailEssentials email security, GFI Archiver for email and file archiving, GFI LanGuard patch and vulnerability management, Kerio Connect email server and Exinda bandwidth management. I authored GFI's detailed ISO 27001 guide and worked on its NIST, EU AI Act and GDPR content.
Most of that work was with highly regulated organisations, where data retention, audit trails and access control are not optional: government and defence, aviation, banking and large IT services firms. I worked on cybersecurity and compliance engagements with NASA, the British Ministry of Defence, Saudi Arabian Airlines, Banco Afirme, Infosys and Tata Consultancy Services (TCS), ran webinars for buyers across EMEA and APAC, and trained 50+ channel partners in those regions.
My AI background came first. I was an AI research intern at the TUKL-NUST R&D Center in Islamabad, working on speech (speaker segmentation, audio cleaning and speech to text), and held an AI research fellowship at the University of Insubria in Italy on multi-modal models. At Ingenio EC, a South American startup, I was Head of Artificial Intelligence and then CTO, leading 15+ engineers across AI, web and mobile.
I studied Software Engineering at NUST in Islamabad (BSc, 2020). On this blog I cover how to run AI privately: keeping data in your region, what a memory layer should and should not store, and how to get an AI rollout through a security review.
Expertise
Credentials
- BSc Software Engineering, National University of Sciences and Technology (NUST), Islamabad, 2020
- Generative AI in Cybersecurity, IBM (2024)
- Lakera 101 AI Security, Check Point AI Security (2024)
- Trustworthy Generative AI, Vanderbilt University (2024)
- Learning GDPR, LinkedIn Learning (2022)
- Implement Retrieval Augmented Generation with Azure OpenAI Service, Microsoft (2024)
- Building Agentic RAG with LlamaIndex, DeepLearning.AI (2024)
- Preprocessing Unstructured Data for LLM Applications, DeepLearning.AI (2024)
- Deep Learning Specialization, DeepLearning.AI on Coursera (2018)
- GitHub Campus Expert
Publications
Latest
Articles by Junaid Khalid
Best Local LLM Hardware: What to Buy for the Models You Will Actually Run
Best local LLM hardware picked by job: GPUs, Macs and 128 GB boxes compared on memory and bandwidth, plus a fit check and commands to test your machine first.
Best AI for Writing Emails: 14 Models Tested on Real Office Email
The best AI for writing emails depends on the job. We graded 14 models on 50 real office tasks: a laptop-size model drafts most mail, Opus earns the hard replies.
Best MCP Servers in 2026: Picks by Job for Claude Code, Cursor and Codex
The best MCP servers for Claude Code, Cursor and Codex, grouped by job, with install commands, what each costs in context, and the popular ones to skip.
Why Your AI Forgets Everything When You Switch From ChatGPT to Claude
Your AI forgets when you switch tools because memory is stored per vendor with no bridge. Here is what breaks, and the three real fixes, ranked honestly.
Claude Memory Transfer: What Carries Over From ChatGPT, What Drops
Claude memory import moves your ChatGPT context once. Here is what carries over, what silently does not, and why you still reset when you switch back.
Claude Code Review: What It Catches, and What It Can't
A hands-on guide to Claude Code review: the commands, a copyable REVIEW.md, and an honest table of what the reviewer catches reliably and what it never will.