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.
A $60 domain purchase or 0.001% of training tokens can silently corrupt an ML model. Here's how training data poisoning attacks work and how to defend against them.
Composer package vulnerabilities rose 34% YoY, with 60%+ arriving via transitive dependencies. Safeguard breaks down the trends and what security teams should do.
A practical, no-hype comparison of Sigstore, Notation, GitHub Attestations, DigiCert, Vault, and AWS Signer for teams choosing artifact signing tools.
From Samsung's ChatGPT leak to RAG pipelines with no access controls, sensitive information disclosure is now a top LLM security risk. Here's how it happens and how to stop it.
Application security monitoring is the continuous observation of an application's behavior to detect attacks, abuse, and security failures as they happen. Here is what to monitor and how to make signals actionable.
The misleadingly named STATUS_STACK_BUFFER_OVERRUN rarely means an active attack — it means a program chose to kill itself the instant it stopped trusting its own memory.
A secrets scanning tool finds API keys, tokens, and passwords hiding in your code and git history. Here is how they work and what to look for in one.
A Docker scratch image starts from nothing, and that emptiness is the point: no shell, no package manager, and almost no CVEs for a scanner to find.
Semgrep pricing is built around a free tier, a per-contributor Team plan, and custom Enterprise quotes. Here is how the tiers break down and what to watch for.
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