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AI Security

In-depth guides and analysis on ai security from the Safeguard engineering team.

779 articles

AI Security

Insecure Output Handling in LLM-Integrated Applications

LLM output that reaches a browser, database, or shell unvalidated can trigger XSS, SQL injection, or RCE. Here's how insecure output handling breaks AI apps.

Nov 13, 20258 min read
AI Security

Overreliance on LLM Outputs: A Security Perspective

LLMs hallucinate packages, vulnerability verdicts, and compliance summaries with total confidence. Here's where overreliance on AI outputs creates real security risk—and how to close the gap.

Nov 13, 20257 min read
AI Security

LLM Insecure Plugin Design Vulnerabilities

ChatGPT plugins, LangChain agents, and MCP servers have all shipped insecure plugin flaws exposing accounts and data. Here's how Safeguard defends against them.

Nov 13, 20258 min read
AI Security

LLM Denial of Service Attack Techniques

LLM denial of service attacks exploit sponge prompts, unbounded generation, and denial-of-wallet loops to cripple AI systems without a single exploit.

Nov 13, 20257 min read
AI Security

Excessive Agency in LLM-Powered Applications

Excessive agency turns a bad LLM output into an executed action. From Replit's July 2025 database deletion to Air Canada's chatbot ruling, here's what it is and how to scope it down.

Nov 12, 20258 min read
AI Security

Prompt Injection Attack Techniques and Defenses

Prompt injection is now OWASP's #1 LLM risk, and real incidents like EchoLeak and Slack AI prove it can mean zero-click data exfiltration. Here's how it works and what stops it.

Nov 12, 20257 min read
AI Security

CometJacking and the AI Browser Agent Threat Model

LayerX's October 2025 CometJacking attack siphoned Gmail and Calendar via one Perplexity Comet click. The browser-as-agent design is the new blast radius.

Oct 30, 20257 min read
AI Security

RAG Poisoning: Defenses That Work

Retrieval-augmented generation is the most common LLM deployment pattern in the enterprise and the most commonly poisoned. A senior security engineer's playbook for defences that hold up in production.

Oct 20, 20257 min read
AI Security

Embedding Model Supply Chain Risks

Embedding models are the silent dependency under every RAG system. We cover poisoning, deprecation, and provenance gaps that break retrieval in production.

Oct 18, 20255 min read
AI Security

Claude Sonnet 4.5 System Card: Security Reading

Anthropic shipped Claude Sonnet 4.5 on September 29, 2025 with a 70-page system card. We pull the supply-chain-relevant findings out of it.

Oct 2, 20256 min read
AI Security

SPDX 3.0 AI Profile: Building an AIBOM in Practice

SPDX 3.0 was published in March 2025 with a dedicated AI profile and a Dataset profile. We walk through how to produce a defensible AIBOM in SPDX format alongside or in place of CycloneDX.

Sep 18, 20257 min read
AI Security

OpenRouter API Security: Using the Unified LLM Gateway Safely

The OpenRouter API routes your prompts through one endpoint to many model providers. Convenient, but it changes where your data goes and where your keys live.

Sep 16, 20256 min read

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AI Security (Page 60) — Supply Chain Security Blog | Safeguard