Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When Anthropic revealed Claude Mythos and Project Glasswing, the industry did what the industry always does with a frontier-AI story: it reached for the alarm. The headlines, Reddit threads, and back-channel conversations all focused on the same things: All of that is real, and none of it is the part that should keep a security leader up at night. Here is the part that should.

Quantum computers capable of breaking today’s encryption may still be years away, but France’s National Cybersecurity Agency (ANSSI) believes organisations shouldn’t wait to prepare. At the France Quantum Conference on June 16, 2026, ANSSI announced new milestones for the adoption of Post-Quantum Cryptography (PQC). ANSSI recommends that organisations prioritise purchasing quantum-safe security products by 2030. The most important message, however, isn’t about 2030.

The discussion during our recent webinar made one thing clear. Security teams aren't asking whether coding agents will become part of the enterprise. They're asking how to adopt them safely. The audience questions focused on practical concerns that many organizations are facing today, from autonomous execution to supply chain risk and governance. Here are the five questions that generated the most discussion.

Model Context Protocol (MCP) is what turns an AI assistant into an AI agent. It’s the standardized bridge that lets models call real tools – read files, query databases, send messages, pull emails. That capability is the whole point. It’s also what makes MCP environments a target. Most deployments were scoped for what the agent needed to do. Not for what happens when that access is turned against the organization.

Why the independent layer keeps winning as the models get better, not despite them. This series has been building to one question, and it is the objection every honest reader has been holding since the first piece. If the frontier models keep getting better this fast, why does an independent security layer keep winning? Why not wait for the model that writes safe code and verifies its own work?

When people think about cybersecurity, they usually think about protecting passwords, laptops, or email accounts. Phone numbers don't make the list very often. Maybe they should. A phone number by itself isn't especially dangerous. Someone can't hack your phone simply because they know your number. But it is often the starting point for a much larger attack.