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.
The Model Context Protocol connects AI agents to your tools and data. That power cuts both ways. Here are eight concrete practices for running MCP servers without handing attackers a remote control.
The label 'AI security software' now covers two different markets — tools that secure AI systems, and security tools powered by AI. How to tell them apart, what to evaluate, and the questions that expose thin products.
Copilot Autofix pairs CodeQL with an LLM to patch code-scanning alerts up to 3x faster. Here's how it works, its limits, and where supply chain risk still slips through.
The moment you give an LLM tools, it stops being a chatbot and becomes an actor in your systems. Tool-use security is about making sure a compromised agent hits a wall instead of a credential.
AI now writes a large share of the code shipping to production, and it reproduces the same insecure patterns humans do — at machine speed. Here is how to keep AI-authored code from becoming your next incident.
Retrieval-augmented generation wired an untrusted-content pipeline straight into your model's context window. Here are the practices that keep a poisoned document or a leaked chunk from becoming an incident.
Anthropic shipped Claude Sonnet 4.5 on September 29, 2025 with a 70-page system card. We pull the supply-chain-relevant findings out of it.
OpenAI's Daybreak and Anthropic's Mythos both bet that frontier models can find and fix vulnerabilities at scale. The discovery race is real — but the bottleneck, the cost curve, and the winning strategy all point the same direction: be model-agnostic.
OpenAI's Patch the Planet, co-founded with Trail of Bits, wants to move widely-used open-source projects from findings to fixes. The ambition is right — but it shifts the bottleneck to maintainer review, patch provenance, and the trust of machine-authored code.
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