Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
The Model Context Protocol went from a single-vendor proposal to a multi-implementation standard in under eighteen months. The security implications are still being worked out in public.
A balanced look at what artificial intelligence and cyber security actually means in practice today, the concrete benefits teams are seeing and the new risks AI introduces into the same systems.
Pickle-serialized model files remain a live attack surface on Hugging Face. Here is what 2025 research disclosed about persistent backdoors and what defenders should do about it.
The top AI cybersecurity companies of 2026 span three distinct plays — AI-assisted detection, AI-native SOC automation, and AI-augmented AppSec — and the distinction matters when you're evaluating vendors.
Running a docker mcp server puts an AI agent's tool access inside a container boundary, which helps containment but doesn't remove the need to scope credentials and network access carefully.
AI/ML pipelines introduce unique supply chain risks from training data to model distribution. Most organizations have zero visibility into this attack surface.
Griffin AI reports 98-100% hold rate against adversarial probes. Most Mythos-class tools have never published an adversarial number at all.
MCP, Skills, hooks, and rules extend AI coding agents in very different ways — two execute code, two only steer behavior. Here's how each one breaks.
The explosion of AI tools like ChatGPT is reshaping how developers write code — and introducing new supply chain risks that most teams aren't thinking about.
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