Article4 min read
A court filing tried to talk to AI. Your document pipeline might listen
A failed hidden-message attempt in a Connecticut court shows what prompt injection protection must cover across enterprise document workflows.
Promptective journal
At the AI boundary
Articles, practical guides and product news for teams governing AI across browsers, desktops and agents.
Featured article5 min read
A malicious repository could turn Amazon Kiro into a data-exfiltration path
A Kiro prompt-injection flaw shows how repository content can steer an AI coding agent towards sensitive files, configuration changes and data exfiltration.
Featured guide10 min read
Stop sensitive data leaking into workplace AI
A practical workplace guide to prevent sensitive data reaching ChatGPT, Microsoft Copilot and GitHub Copilot using policy, DLP and tested controls.
News8 min read
The Hook Between Intent and Action
Promptective now supports Amp.
Practical reference
Guide library
Guide15 min read
Choosing AI DLP that fits the path
Compare Promptective, Nightfall, Purview, Netskope, Prompt Security and Prisma AIRS for sensitive data in AI chat and agent workflows.
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Guide5 min read
LLM security in production
A practical guide to LLM security in production: control prompts, retrieval, outputs and tools; minimise sensitive evidence; test and respond.
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Guide4 min read
Designing the AI security boundary
A practical framework for securing LLM applications at the boundary between trusted instructions, untrusted content, model output, and real-world actions.
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Guide3 min read
How LLM jailbreaks bend the rules
How attackers bypass LLM safety guardrails, the common techniques they use, and practical ways to defend AI applications.
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Guide4 min read
Securing AI agents with tools
Learn how to reduce prompt injection, tool abuse, and MCP risks with practical controls for LLM agents and their connected systems.
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Guide12 min read
15 prompt injection examples
Review 15 illustrative prompt injection attack examples across direct, indirect and agent risks, with source-backed controls for reducing their impact.
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Guide2 min read
Protecting LLM applications
A practical guide to securing your AI applications against prompt injection, jailbreaks, and data exfiltration. Learn defence-in-depth strategies.
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Guide2 min read
What is prompt injection?
Learn how prompt injection attacks work, see practical examples, and compare controls for protecting LLM applications in this 2026 guide.
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