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AI Security

Pen Testing an AI Feature: Prompt Injection and Tool Abuse Cases

A test plan for chatbots and agents built into your product: direct and indirect injection, excessive agency, cross-user data, and output handling, mapped to OWASP's 2025 LLM Top 10.

Oct 18, 20265 min read
AI Security

Safe model loading: safetensors vs pickle after the peft CVE

A peft advisory published 5 August 2026 shows how one unguarded torch.load call undoes a project's own safe-loading wrapper. Here is how to load models without executing code.

Oct 18, 20265 min read
AI Security

OWASP LLM Top 10 for 2026, mapped to controls your team can ship

The 2026 edition reorders the list and renames System Prompt Leakage. Here are all ten entries with one concrete engineering control each, plus where the list stops and the agentic list begins.

Oct 18, 20266 min read
AI Security

An MCP server vetting checklist built on the 2026-07-28 spec

The 2026-07-28 MCP revision changes auth, deprecates Dynamic Client Registration and removes sessions. Use it and the spec's security page as a checklist before you approve a server.

Oct 18, 20266 min read
AI Security

Tool permission design for agents, as Excessive Agency hits number 3

OWASP moved Excessive Agency to third place in its August 2026 LLM list. Here is a short, concrete way to scope what an agent's tools can do.

Oct 18, 20263 min read
AI Security

Securing a RAG pipeline after the Qdrant file-write bug

A Qdrant advisory shows a read-only credential can still write files on the vector store host. Use it to review every stage of your RAG pipeline.

Oct 18, 20265 min read
AI Security

What to log when an AI agent acts: a minimum audit record

Three 2026 documents point the same way on agent audit trails. Here is a minimum log record you can add today, with tool calls tied to a human and a trace.

Oct 18, 20263 min read
AI Security

Prompt injection defenses that hold up and ones adaptive attacks broke

A June 2026 paper tests deterministic out-of-band defenses against adaptive attacks. Combined with the 2025 result that broke twelve in-band defenses, it shows where to spend your effort.

Oct 18, 20263 min read
AI Security

How to red team an LLM feature: adaptive attacks and repeated attempts

NIST's agent hijacking evaluation raised attack success from 11% to 81% by moving from baseline to tailored attacks. Here is a one-week red team plan for a single LLM feature.

Oct 18, 20264 min read

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