ai-agents
Safeguard articles tagged "ai-agents" — guides, analysis, and best practices for software supply chain and application security.
66 articles
Securing AI Agents: MCP Protocol Risks and Mitigations
The Model Context Protocol is transforming how AI agents interact with tools, but it introduces new attack surfaces. Here is what security teams need to understand.
Tool Poisoning Attacks: How Malicious Instructions Hide I...
AI agent tools can hide invisible instructions attackers use to steal data. Here's how tool poisoning attacks work and how Safeguard stops them.
Least Privilege for AI Agents: Why It's Harder Than It So...
AI agents break least-privilege assumptions built for humans: they chain tools, act autonomously, and compose narrow scopes into broad access no one reviewed.
MCP Server Authentication and Authorization: Securing the AI Tool Layer
The Model Context Protocol enables AI agents to interact with external tools and data sources. Securing MCP servers requires authentication, authorization, and input validation patterns specific to the AI agent context.
AI Agent Tool Calling Security: Risks and Mitigations
AI agents that call tools -- APIs, databases, file systems, code interpreters -- convert non-deterministic LLM output into real-world actions. Securing this boundary is the defining challenge of agentic AI.
AI Agent Frameworks: A Security Assessment of the New Autonomous Frontier
AI agents that can execute code, browse the web, and manage infrastructure are proliferating. The security implications of these autonomous frameworks demand scrutiny.