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 practical comparison of leading LLM red teaming tools -- PyRIT, Garak, Giskard, Promptfoo, Lakera Red, and Mindgard -- with real strengths, limits, and evaluation criteria.
A concrete look at how AI safety benchmark evaluation, LLM safety scorecards, and capability testing actually measure model risk in 2026 — and where they fall short.
A practical buyer's guide to evaluating an automated red teaming platform for continuous AI testing, with a fair roundup of six real vendors and tools.
Prompt injection attacks trick AI models into obeying attacker instructions hidden in data or user input, and there's still no complete fix.
How attackers hide malicious instructions inside webpages, documents, and retrieved content to hijack AI systems — and why RAG pipelines are especially exposed.
A vendor-by-vendor comparison of LLM firewall and AI guardrail platform options for enterprise deployment, with real strengths and limitations for each.
RAG poisoning attacks corrupt the external knowledge base an LLM retrieves from, turning trusted documents into vectors for misinformation and data leaks.
Vector databases now hold copies of your most sensitive data with weaker controls than the systems they came from. Here's what to fix before your next RAG deployment.
Model extraction attacks let adversaries clone proprietary AI models through ordinary API queries alone. Here's how the attacks work, why they evade detection, and how to stop them.
Weekly insights on software supply chain security, delivered to your inbox.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.
