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.
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.
Security in AI systems isn't a wholly new discipline, but prompt injection, training data provenance, and model supply chains introduce risks traditional AppSec tooling wasn't built to catch.
As AI agents now author up to half of production commits, Safeguard introduces Agentic Development Security (ADS) — a new framework for securing autonomous coding.
You should not have to choose between your organization's AI strategy and your security platform. Safeguard's agentic zero-day discovery and remediation pipeline now works on Anthropic Claude Fable 5, OpenAI GPT, Google Gemini, Microsoft Phi, Meta Llama, Safeguard native models, and privately hosted custom models — all running as first-class agents in the same Multi-Agent TAOR Deep Think AI Engine.
Anthropic's Claude Mythos model goes public on June 10, 2026 — a frontier AI that scored 97.6% on the Math Olympiad, completed expert-level hacking tasks at 73% success, and found 271 vulnerabilities in Firefox 150. Here is everything security teams need to know before it lands, and how Safeguard already supports Mythos zero-day discovery natively.
Anthropic just released Claude Fable 5, its most capable publicly available model and the first Mythos-class AI open to everyone. 80.3% on SWE-Bench Pro, 88% on Terminal-Bench 2.1, state-of-the-art across software engineering, vision, and scientific research. Safeguard has already integrated Fable 5 natively — here is everything you need to know.
GPT-5 shipped August 13, 2025 under OpenAI's Preparedness Framework v2. Here's what the system card tells security teams about deployment risk.
A $60 domain purchase or 250 documents can backdoor an LLM. Here's how data poisoning attacks work, real cases, and how to defend against them.
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