14 posts about agent security by 10 contributors.
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Learn how to secure AI coding agents against malicious repository content using trust boundaries, least-privilege permissions, isolated workspaces, and validation before merge.
Learn how to limit GitHub Copilot agent access to repositories, secrets, MCP tools, internet connections, and development environments.

Learn why AI agents exceed task boundaries and how to constrain them with task contracts, least-privilege access, authorization controls, and prompt-injection defenses.
Learn how Microsoft Execution Containers on Windows 11 isolate AI coding agents, restrict host access, and reduce risks from untrusted code and prompt injection.
Learn how Microsoft Execution Containers provide policy-driven isolation for AI coding agents, limiting filesystem, network, and process access to reduce prompt-injection risk.
Learn how GitHub Copilot local sandboxing restricts AI coding agent commands to help protect developer machines, repositories, credentials, and other host resources.
AI agents are moving beyond simple question-and-answer workflows. A modern agent can search databases, call APIs, execute functions, read documents, send messages, create tickets, update records, and interact with external systems. That capability makes agents useful, but it also introduces a new se
Learn how to build user-delegated AI tools with Microsoft Foundry Toolboxes using identity delegation, token isolation, consent, authorization, and secure enterprise access.
Build secure hosted AI agents using isolated runtime environments with controlled compute, memory, filesystem access, permissions, network boundaries, and enterprise security controls.
Learn how to build least-privilege AWS IAM policies for AI coding agents that restrict dangerous actions, protect cloud resources, and enforce secure agent permissions.
Learn how to design secure identity boundaries for AI agent tool calls using user identity, delegated permissions, authorization policies, and least-privilege access.
Secure enterprise AI agents with LangGraph. Implement robust guardrails for retail, preventing prompt injection, PII leakage, and unauthorized actions.
Learn how to secure Model Context Protocol (MCP) applications by preventing prompt injection, tool hijacking, unauthorized access, and other AI security threats using proven enterprise security practices.
Learn how to implement AI agent governance in enterprise .NET applications using permissions, auditing, compliance controls, role-based access management, and monitoring best practices.
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