Guides
Can You Trust an MCP Response? Four Failure Paths to Test
Prevent MCP response spoofing by separating endpoint identity, message integrity, prompt manipulation, and compromised-server behavior.
By Agent Guard Team11 min read
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Security thinking for the agentic era.
Practical guidance, independent reviews, and clear comparisons for teams building and securing AI agents.
8 articlesLatest research and guidance
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Which MCP Security Tool Fits Your Stack? 7 Options Compared
Compare seven MCP security tools by control point, deployment fit, and trade-offs, from component scanners to gateways and runtime guards.
By Agent Guard Team18 min read
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How Enterprises Can Secure AI Agents in Production
Learn how to secure enterprise AI agents across identity, tools, runtime actions, memory, monitoring, and governance with a practical rollout checklist.
By Agent Guard Team14 min read
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AgentGuard vs Lakera: What Each Product Actually Covers
AgentGuard and Lakera both address risks created when AI systems call tools, access data, and act across connected systems. The useful comparison is not a feature checklist. It is whether the control point you need is a developer's local runtime and component intake, an organization-wide agent discovery and governance layer, or a combination of both.
By Agent Guard Team6 min read
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Agent Dependency Pollution: A Working Definition
An agent can make a bad security decision before it ever calls a tool: it can accept a package, plugin, skill, tool description, or MCP server that is not what its owner believes it to be.
By Agent Guard Team4 min read
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How LLM Agents Are Exploited: Attack Paths and Defenses
An LLM agent becomes a security problem when untrusted input can change a decision that reaches a tool, credential, data store, or external destination. The useful question is not which framework name applies. It is where that influence crosses a trust boundary.
By Agent Guard Team6 min read
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Choosing a Zenity Alternative for AI Agent Security
Zenity may be in the conversation because its platform is positioned around securing enterprise AI, low-code, and agentic applications. An alternative only makes sense when the buyer can name the workflow, control point, evidence, and residual risk they need.
By Agent Guard Team6 min read
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What is Prompt Injection & How it Works
Prompt injection lets untrusted text override an AI system’s intended instructions. It may come directly from users or indirectly through webpages, documents, emails, and tools. Defenses should separate data from authority, restrict permissions, validate actions externally, require approval for sensitive operations, and log decisions. Simple phrase filtering is insufficient protection.
By Agent Guard Team6 min read
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