Local LLMs, AI-powered threats and how to secure AI in the enterprise. Practical guidance for security leaders adopting AI without losing control of their data.
This is practical guidance. It is not the text of ISO/IEC 27001:2022 or ISO/IEC 42001:2023, and it is not a certificate. Zaheer Ikbal, Founder, CyHelm For years, ISO/IEC 27001:2022 has been the backbone of how organizations design and run information security programs. It gave security leaders a shared language for risk, controls, and assurance. But
From ISO 27001 to ISO 42001 Read More »
Run AI on your own hardware: Llama 4, Qwen3, DeepSeek, Gemma 3 and Phi-4 compared, plus Ollama and LM Studio and the GPU you actually need.
Running LLMs Locally in 2026 — The Best Options, Tools & Comparison Chart Read More »
Cyber threats are evolving faster than any single analyst can track. Ransomware gangs retool overnight, nation-state actors shift infrastructure in hours, and phishing campaigns now leverage AI-generated content that slips past legacy filters. In this landscape, reactive security is a losing strategy. The answer? Threat intelligence (TI) — the discipline of turning raw threat data
Let me be honest with you. A year ago, most CISOs I spoke with treated AI governance like a “nice to have.” Something for the compliance team to worry about later. Fast-forward to today, and the conversation has completely flipped. Regulations are landing. Boards are asking tough questions. And if you’re in cybersecurity leadership —
AI Strategy and Governance Read More »
Should your business run LLMs on its own servers or use cloud APIs? Costs, data-sovereignty and performance compared.
AI is accelerating cyberattacks — from automated phishing to deepfakes. Learn how defenders must adapt in 2025. Introduction Artificial intelligence is reshaping cyber offense and defense simultaneously. While AI provides defenders better detection and automation, adversaries are using AI to generate hyper-personalized phishing, deepfake audio and video, and automated exploitation at scale — forcing new
AI-Powered Cyber Threats: How Attackers Use Automation and Deepfakes in 2025 Read More »
Executive Insight Cybersecurity Meets AI. As generative AI reshapes enterprise workflows, it’s not just innovation that’s accelerating—so are the threats. In my role as a cybersecurity executive and AI strategist, I’ve seen firsthand how emerging vulnerabilities like prompt injection are redefining the risk landscape. This post breaks down one of the most pressing challenges facing
Executive Insight: Cybersecurity Meets AI — What Is a Prompt Injection Attack? Read More »
AI agents are evolving fast — no longer just reactive tools, they’re becoming proactive decision-makers across industries. NVIDIA’s latest advancements in reasoning models, Nemotron and Cosmos, are accelerating this shift, enabling enterprises and robotics platforms to deploy intelligent agents with real-world impact. 🧠 Nemotron: Enterprise-Grade Reasoning for Complex Workflows The Nemotron family now includes Nemotron
Artificial Intelligence (AI) is no longer a futuristic concept—it’s the heartbeat of modern technology. From predictive analytics to autonomous systems, AI is reshaping industries at lightning speed. But nowhere is its impact more profound—and paradoxical—than in cybersecurity. AI is both the most powerful weapon in a defender’s arsenal and the most dangerous tool in an
AI & Cybersecurity: The Double-Edged Sword of the Digital Age Read More »
Artificial Intelligence (AI) is often seen as a marvel of modern technology, but its roots stretch far deeper—into ancient myths, philosophical debates, and decades of scientific ambition. Understanding the history of AI isn’t just about appreciating how far we’ve come; it’s about recognizing the patterns that shape where we’re headed. 🏛️ Ancient Dreams: The Idea
A Brief History of AI Innovation Read More »
