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AI Security

Can prompt injection make an LLM produce SQL injection?

Yes, if an app runs model-written SQL unchecked. Use parameterized queries, a read-only database role, allowlists, and treat model output as untrusted.

Oct 18, 20265 min read
AI Security

Can hidden text in a PDF trick an AI that scores documents?

Yes. Text a person cannot see can still be read by a model and change its output. Learn how indirect prompt injection works and how to harden pipelines.

Oct 18, 20264 min read
AI Security

Can a SKILL.md file give an AI agent shell access?

A skill file is instructions, but it can bundle scripts an agent will run. Learn the risk, why untrusted skills are dangerous, and how to audit one.

Oct 18, 20264 min read
AI Security

How do you build an MCP server in Node.js for up to date API docs?

Build a Node.js MCP server that fetches your current API reference on demand, so assistants stop quoting stale docs. Steps, pitfalls and safety checks.

Oct 18, 20264 min read
AI Security

How do you build an interactive MCP server in Python for the terminal?

Build a small MCP server in Python, test it in the terminal and wrap a client in a prompt loop. Learn the stdout rule that breaks stdio servers.

Oct 18, 20265 min read
AI Security

What are the main barriers to adopting AI in cybersecurity?

Security teams hold back on AI over false confidence, hard-to-measure risk, opaque behavior, new attack surface and data limits. Here is how to clear each.

Oct 18, 20265 min read
AI Security

Why will AI trust shape how software gets built?

Teams adopt AI in development only as far as they can verify its output. Provenance, review gates, scoped access and logs decide how much you can trust it.

Oct 18, 20264 min read
AI Security

What is AI security posture management across the AI lifecycle?

AI-SPM means inventorying models, data, tools and agents and checking each against policy. Map it to the NIST AI RMF and OWASP LLM risks to start.

Oct 18, 20265 min read
AI Security

How do you manage AI risk? Benefits, challenges and practices

AI risk management uses the NIST AI RMF functions Govern, Map, Measure and Manage. See the benefits, the common challenges, and a first set of practices.

Oct 18, 20264 min read

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