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.
Google released Gemini 2.5 Pro Experimental on March 25, 2025 without a contemporaneous safety report. The UK reaction set a precedent.
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.
We field-tested five GenAI code review tools against 240 seeded security defects to see which catch real issues and which hallucinate findings.
AI and ML pipelines introduce unique supply chain risks -- from poisoned training data to compromised model registries. Here is what attackers are targeting and how to defend.
Running an open-weight model inside an enterprise perimeter seems safer than calling a hosted API. It is, and it isn't. The sandboxing patterns that actually produce the safety properties.
GPT-5 shipped August 13, 2025 under OpenAI's Preparedness Framework v2. Here's what the system card tells security teams about deployment risk.
Running LLMs on local hardware eliminates some risks and introduces others. A clear-eyed look at the enterprise risk profile of on-premise and on-device model deployments.
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