AI & Machine Learning Security Articles

What Is Context Engineering? Context Engineering is the discipline of designing, structuring, and managing the entire context window (system prompt, RAG, tools, memory, metadata), not just the prompt.

Claude Cowork is one of the most capable AI productivity tools available today. Launched by Anthropic in early 2026, it allows non-technical users to automate complex, multi-step tasks. Understand the key security risks before deploying Claude Cowork.

AI can make zero trust smarter, but only after the basics. A vCISO's view of identity risk scoring, anomaly detection, AI agents and a 90-day rollout.

No security team? Here is how to split security work between AI tools, a fractional CISO and your own people, what AI should never decide, and a 90-day setup plan.

The EU delayed its high-risk AI rules, Canada has no AI law yet, and US states keep moving. Here is the one governance baseline a SaaS company can build once and map to all of them.

What are the cyber risks and threats as Generative AI tools and applications revolutionize businesses by enhancing productivity, products and services, decision-making, and driving innovation?

Autonomous Agents, AI-driven systems that can operate independently to make decisions or perform tasks, are becoming increasingly integrated into our daily lives and business operations.

A practical 90 day plan for AI risk in a growing SaaS company: what a vCISO does first, which frameworks to use, what it costs, and when you can skip it.

Find out the risks associated with using LLMs to build a wide range of applications from AI Chatbots and AI Virtual Assistants to content generation tools and code autocompletion.

Six controls decide whether your AI system leaks data: training data integrity, prompts, retrieval permissions, outputs, logs and vendor terms. Here is the order we put them in for 30 to 200 person companies.

How criminals use deepfakes, voice clones and synthetic identities against SMBs and SaaS companies, with FBI, DOJ and Canadian data and a blunt table of what works versus what is theatre.

As AI models become more sophisticated, so do cyber threats against them. AI systems can be exposed to adversarial attacks such as prompt injection, and AI models and data can be manipulated in malicious ways.

A practical guide for companies whose staff use ChatGPT and similar assistants: a traffic-light data table, the settings that matter, and Canadian and US privacy obligations.