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Prompt Injection Risk: How to Judge Your Exposure
Prompt injection risk is set by permissions, not wording. See the five factors that decide severity, how to test to consequence and how to cut blast radius.
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Can AI Replace Penetration Testers? (Task by Task)
Can AI replace penetration testers? Find out which pentest tasks AI really handles, where it breaks down, and what the job looks like now.
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MITRE ATTACK V20 AI Techniques: How to Test Them
MITRE ATTACK v20 AI techniques cover prompt injection, AI-enabled exfiltration and result poisoning. See how to turn each into a test that proves impact.
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What Is an AI Agent? A Security-First Breakdown
What is an AI agent? See how the model, tools and permissions loop really works, where agents break, and how to check one before it goes live.
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AI Pentest Tools Review: 6 Questions That Sort Them
AI pentest tools review without rankings: six evidence questions that expose weak tooling before you buy. See what proof to demand in a pilot.
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OpenAI Misaligned Models: From Reports to Tests
OpenAI misaligned models made headlines, but what should you actually test? See how to turn the disclosed cases into tests you can run and prove.
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LLM Penetration Testing Checklist: Proof Over Output
An LLM penetration testing checklist built around evidence: what to map, what to attack, and how to prove impact. See the checks in full.
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AI Coding Agent Security: 7 Attack Paths to Test
AI coding agent security tested properly: seven attack paths from prompt injection to shell abuse, how to prove each one, and the controls that hold. Read on.
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AI Red Teaming Methodology: From Scope to Proof
A working AI red teaming methodology: map permissions first, test five attack classes in order, and prove consequence. See how to structure it.
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MCP Server Prompt Injection: Proving the Blast Radius
MCP server prompt injection is easy to demo and hard to prove. See how to test to consequence, scope tokens and write findings that hold up.