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Articles

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AI Security

Safeguard Now Supports Every Major AI Model Family for Zero-Day Discovery: Anthropic, OpenAI, Gemini, Microsoft, Meta, and Your Own Models

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.

Jun 9, 202611 min read
AI Security

Claude Fable 5: Anthropic's Most Capable Public Model Is Here — Benchmarks, Capabilities, and What It Means for Security

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.

Jun 9, 202615 min read
AI Security

Anthropic Claude Mythos Releases Tomorrow: Capabilities, Benchmarks, and What Security Teams Must Do Now

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.

Jun 9, 202613 min read
AI Security

GPT-5 Launch: Reading the System Card for Supply-Chain Risk

GPT-5 shipped August 13, 2025 under OpenAI's Preparedness Framework v2. Here's what the system card tells security teams about deployment risk.

Jun 8, 20266 min read
AI Security

Data poisoning attacks against LLMs

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.

Jun 8, 20267 min read
AI Security

Securing RAG pipelines against injection attacks

RAG pipelines feed untrusted retrieved content straight into model context. Real breaches like EchoLeak show what happens when nothing checks it.

Jun 8, 20267 min read
AI Security

Type-level security: the future of secure AI code generation

45% of AI-generated code fails basic security tests. Here's why type systems catch what code review misses, and how to enforce type-level security on AI-authored diffs.

Jun 8, 20268 min read
AI Security

Snyk VulnBench: benchmarking LLMs on repeat vulnerability discovery

Snyk's VulnBench JS 1.0 ran 300 repeated LLM scans and found half of non-reference findings vanish on rerun—raising the bar for AI security tooling.

Jun 7, 20267 min read
AI Security

Protestware via prompt injection: the jqwik 1.10.0 case

jqwik 1.10.0 hid a prompt injection telling AI coding agents to delete tests. Here's how it worked, why it's protestware, and how to catch it.

Jun 7, 20267 min read

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