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Welcome to another _secpro!
As AI rapidly reshapes the cybersecurity landscape, security professionals are being pushed into unfamiliar territory—where models, data pipelines, and adversarial machine learning become part of the threat surface. This week’s edition is designed to help you navigate that shift.
We’re kicking things off with AI Security 101 (from our sister publication, cyber_ai), a structured series covering everything from the fundamentals of machine learning in security to emerging risks like adversarial attacks, AI-driven offensive techniques, and governance challenges. Whether you’re just getting started or looking to operationalize AI securely, this provides a practical foundation.
Beyond that, we’re expanding The Library with curated tools, frameworks, and resources to accelerate your workflow, alongside News Bytes tracking a sharp rise in global cyber activity—from AI-driven threats to geopolitical escalation. Finally, we highlight key perspectives from across the blogosphere, including frameworks for AI risk scoring, chatbot security controls, and insights into the evolving cybersecurity market.
If you’re building, defending, or evaluating AI systems, this edition will give you both the context and the tools to stay ahead.
If you want more, you know what you need to do: sign up to the premium and get access to everything we have on offer. Click the link above to visit our Substack and sign up there!
Cheers!
Austin Miller
Editor-in-Chief
Check out our AI Security 101 articles
AI Security is the new frontier that stands before many of us in this industry. It’s hardly a surprise that cybersecurity has undergone a substantial change in light
1. What “Cybersecurity AI” Actually Means
2. Machine Learning 101 for Security Professionals
3. Threat Detection with AI: From Rules to Models
4. Adversarial Machine Learning Basics
5. What LLMs Can Do in Cybersecurity
6. Securing AI Models and Pipelines
7. AI-Enhanced Offensive Techniques
8. Privacy and Data Protection in AI Systems
9. AI Governance, Ethics, and Risk Management
10. Building a Security-Aware AI Workflow
The Library
You asked for tools and tutorials, so here are some tools and tutorials.
Each week, we’ll look at a selection of tools concerning AI and cybersecurity. Cast your vote for your favourite tool and we’ll share a quick tutorial on how to get started and how to get the most out of it the next week.
fr0gger/Awesome-GPT-Agents: A curated list of GPT agents for cybersecurity.
awesome-cybersecurity-blueteam: A curated collection of awesome resources, tools, and other shiny things for cybersecurity blue teams.
Anthropic-Cybersecurity-Skills: More than 730 structured cybersecurity skills for AI agents, covering MITRE ATT&CK, agentskills.io open standard, and works with Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, Gemini CLI & over 20 other platforms.
Lilith: A foundational reverse engineering resource for cybersecurity entrepreneurs in C++.
flowsint: A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators.