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AI Security

Why LLMs Are Structurally Insecure (and What That Means for Your Pipeline)

Language models are not insecure because of a bug you can patch. They are insecure by construction — non-deterministic, context-poisonable, and unreproducible. Here is how to reason about them without pretending otherwise.

Apr 12, 20267 min read
AI Security

Prompt Injection Defences: Griffin AI vs Mythos

Prompt injection is the defining AI security problem of this generation. The defences are structural, not cosmetic — and the architectural choices show.

Mar 16, 20264 min read
AI Security

RAG Poisoning In The Wild: Trend Watch

Retrieval-augmented generation was the 2024 success story. 2026 is when RAG poisoning moved from research to production incidents.

Mar 3, 20262 min read
AI Security

LLM Jailbreak as a Supply Chain Risk in 2026

A jailbreak in a model you ship downstream is a supply chain incident, not a trivia item. Here is how to reason about it and where the defensive controls belong.

Feb 5, 20268 min read
AI Security

Prompt Injection as a Supply Chain Risk in 2026

Prompt injection stopped being an LLM curiosity the moment agents started committing code. It is now a software supply chain risk and should be modeled as one.

Jan 24, 20267 min read
AI Security

OWASP Top 10 for LLM Applications: A First Look

OWASP published its first Top 10 for LLM Applications on August 1, 2023. Here is what it covers, where it overreaches, and how to use it on real systems.

Sep 28, 20235 min read
AI Security

Securing LLM Applications: The OWASP Top 10 for Large Language Models

OWASP released its Top 10 for LLM Applications in August 2023, providing the first standardized framework for understanding and mitigating risks in AI-powered software.

Sep 25, 20235 min read
AI Security

LLM Prompt Injection: The New Supply Chain Attack Vector

Prompt injection attacks against large language models represent a dangerous new frontier in software supply chain security. Here's what defenders need to know.

Aug 10, 20236 min read

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