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.
Persistent memory makes AI agents more useful and more dangerous. A security engineer's walkthrough of how agent memory gets poisoned, exfiltrated, and weaponised, with concrete 2025 examples.
An AI chip is specialized hardware for running machine learning workloads, and it brings its own security concerns from supply chain to firmware. Here is what matters.
Software supply chain attack news today keeps pointing at the same target: open source package registries like npm and PyPI. Here is what the recent wave of attacks looks like and how to defend against it.
Google released Gemini 2.5 Pro Experimental on March 25, 2025 without a contemporaneous safety report. The UK reaction set a precedent.
AI coding assistants ship code fast — Veracode found 45% of AI-generated code contains security flaws. Here's what secure AI-assisted development actually requires.
Vector stores hold derivatives of your most sensitive text. We cover the access, isolation, and integrity controls production deployments of Pinecone and Weaviate need.
A technical look at how Snyk's Agent Fix uses a bounded, feedback-driven retry loop to validate and self-correct AI-generated vulnerability fixes before they reach a pull request.
The AI bill of materials is graduating from optional security artifact to procurement requirement. Here is what AIBOM/ML-BOM actually tracks in 2026, how it ties to the EU AI Act, and where it still falls short.
LLMs invent plausible package names; attackers register them and wait. How slopsquatting works, why hallucinations repeat predictably, and the gates that stop it.
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