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ai-security

Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.

532 articles

AI Security

What is Model Context Protocol (MCP) Security

MCP security explained: how tool poisoning, rug pulls, and 2025's critical CVEs (mcp-remote, MCP Inspector) put AI agents at risk—and how to defend against them.

Mar 3, 20267 min read
AI Security

What is AI Agent Security

AI agent security explained: how autonomous AI agents get attacked through prompt injection, tool poisoning, and exposed MCP servers, and how to stop it.

Mar 3, 20267 min read
AI Security

Risks of AI-Generated Code

AI coding assistants now write nearly half of some codebases—and research shows 45% of that code ships with exploitable flaws. Here's what security teams need to know.

Mar 3, 20267 min read
AI Security

What is Vibe Coding (and Its Security Risks)

Vibe coding lets AI write entire apps from a prompt with little human review — here's what it is, real incidents it's caused, and how to detect the risk.

Mar 3, 20267 min read
AI Security

What is Training Data Poisoning

Training data poisoning corrupts an ML model's training data to plant hidden backdoors. Learn how it works, real incidents, and how to detect it.

Mar 2, 20266 min read
AI Security

Slopsquatting (AI package hallucination attack)

Slopsquatting exploits AI coding assistants that hallucinate nonexistent package names, which attackers then register as real, malicious packages.

Mar 2, 20266 min read
AI Security

What is a Model Inversion Attack

Model inversion attacks reconstruct sensitive training data from a model's outputs. Learn how they work, real cases, and how to defend your ML APIs.

Mar 2, 20267 min read
AI Security

What is Adversarial Machine Learning

Adversarial machine learning exploits model decision boundaries via evasion, poisoning, extraction, and inference attacks -- here's how it works and how to defend against it.

Mar 2, 20266 min read
AI Security

What is Insecure Output Handling in LLMs

Insecure output handling lets LLM-generated text execute code, alter queries, or render unsanitized HTML — a real, exploitable OWASP LLM05:2025 risk.

Mar 2, 20267 min read
AI Security

Zero-Day Discovery ROI: CISO Board Deck

How to talk to your board about zero-day discovery without overpromising. The metrics, the framing, and the slides that hold up under follow-up questions.

Mar 1, 20267 min read
AI Security

What is Sensitive Information Disclosure in LLMs

LLM sensitive information disclosure leaks training data, prompts, and secrets through model outputs. Real incidents, causes, and defenses explained.

Mar 1, 20266 min read
AI Security

What is AI Governance

AI governance means the policies and technical controls that keep AI models, data, and agents safe, compliant, and auditable across your software supply chain.

Mar 1, 20267 min read
ai-security (Page 23) — Safeguard Blog