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.
What Anthropic, AWS, Google and Mistral publish about student offers and startup credits, with eligibility and status as read on 18 October 2026, and what could not be confirmed.
A question list for AI vendors on training, retention, human review, residency and exit, with what Anthropic, OpenAI and Google publish today as a baseline for the answers.
The best AI security tool depends on the layer: pre-release testing, runtime guardrails, model file scanning or inventory. Here is how to pick for each.
Compare garak, PyRIT, Promptfoo and DeepTeam for LLM red teaming: license, attack coverage, CI fit and when each suits a team, from their own docs.
Secure a RAG application by enforcing permissions at retrieval, validating documents before ingestion, isolating tenants and logging every retrieval.
Threat model an AI agent in six steps: map data flows, list tools and permissions, mark untrusted inputs, enumerate threats, add controls, and retest.
An AI bill of materials (AIBOM) lists the models, datasets and dependencies in an AI system. Learn what it holds, the main formats and how to start.
The EU AI Act, NIST and the UK AI Security Institute publish concrete obligations and measurements. A calm summary of what is documented and what is not.
Anthropic's September 2026 report describes operators stealing AI API keys, an AI vendor sandbox breach and a fake reseller. Its advice: treat AI keys like production secrets.
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