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.
Coding agents from OpenAI, Anthropic, and Google are excellent tools. They are also not supply chain security platforms, and the assumption that they can replace one is already producing expensive gaps.
List price is the easiest number to compare and the least interesting one. TCO over three years is where Griffin AI vs Mythos-class platforms actually diverge.
A container security platform has to cover images, registries, and running workloads. Here is what real coverage looks like and how to evaluate one.
AI-driven security is more than a buzzword bolted onto old scanners. Here's where machine learning genuinely helps triage, reachability, and detection — and where it quietly hurts.
The MCP meaning most people are asking about is the Model Context Protocol, an open standard that lets AI models connect to tools and data through one common interface.
A no-hype survey of where cybersecurity AI actually delivers measurable results right now, versus the applications still stuck in the demo stage.
AI for cyber security is real where it triages signal at machine scale, and overstated where vendors promise autonomous defense. Here is how to tell the two apart.
Signature-based scanners only know what other people have already named. Here is the architectural reason they cannot find zero-days, and what actually does.
AI agents pull tools, models, and data from a sprawling chain of upstream providers. In 2026 attackers learned to poison that chain — and the fallout is shaping how enterprises buy and operate agentic systems.
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