Prompt Injection Prevention: A Control-to-Regression Standard
Pair each prompt-injection prevention control with an owner, adversarial case, target-state assertion, and recovery decision.
Read articleAgentGuard Research
Practical guidance, independent reviews, and clear explanations for teams building AI agents that can take real action.
Pair each prompt-injection prevention control with an owner, adversarial case, target-state assertion, and recovery decision.
Read articleTranslate all ten OWASP agentic AI risks into control surfaces, abuse cases, owners, tests, and retained evidence.
Read articleSecure the complete MCP request path from client identity and transport through server policy, downstream effect, and audit evidence.
Read articleGovern MCP servers and tools from catalog admission through identity, change control, runtime evidence, exceptions, and retirement.
Read articleMake Cursor workspace scope, context exposure, extensions, terminal actions, and branch outcomes separately reviewable.
Read articleConstrain Claude Code workspace access, connected tools, credentials, commands, and repository changes with reproducible checks.
Read articleBuild prompt-injection tests that follow hostile input through tool decisions and verify the downstream target stays unchanged.
Read articleKeep untrusted pages, files, and tool output from changing an AI agent's permissions, destinations, or side effects.
Read articleA version-aware Claude Code versus Cowork comparison that separates official Claude Code documentation from dated third-party Cowork observations.
Read articleA workstation-focused Claude Code versus Gemini CLI comparison with a shared restricted task and evidence checklist for both installations.
Read articleA practical Claude Code versus GitHub Copilot comparison that follows one change from local tool use into repository review and policy.
Read articleA workflow-level Claude Code versus Cursor comparison for teams evaluating terminal, editor, extension, permission, and audit boundaries.
Read article