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.
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.
Meta shipped Llama 4 Scout and Maverick on April 5, 2025, along with Llama Guard 4, LlamaFirewall, and CyberSecEval 4. We unpack what defenders should deploy and what to ignore.
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.
Language models are not insecure because of a bug you can patch. They are insecure by construction — non-deterministic, context-poisonable, and unreproducible. Here is how to reason about them without pretending otherwise.
MCP servers are spreading inside engineering orgs faster than security teams can review them. Here is how to govern them without slowing teams down.
MCP's permissions model is subtle. Here is a careful walkthrough of how tool scoping, sampling, and resource access actually work in production.
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