Screen incoming messages for security threats
Add AI guardrails that work as an LLM firewall for your agents, screening every message for hidden injections, data leaks, and social engineering, then allowing, blocking, or flagging it to strengthen AI agent security.
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When a new message arrives through [incoming message channel — e.g. webhook, chat platform, email], have an AI agent running on [AI model provider] inspect it and interpret its intent against a broad range of security threats, from hidden injection attempts to credential exposure and false authority claims. Based on how risky and ambiguous each request is, the agent decides whether to let the message through to [downstream AI agent or workflow], stop it, or escalate it for human review via [human review channel — e.g. Slack, email, ticketing tool], before anything reaches the main agent.
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Start with an app-agnostic prompt, then let Maia guide you to the right apps and workflow.
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Problem
Teams building AI agents expose them directly to whatever users or upstream systems send, including disguised prompt injection, credential harvesting, and social engineering attempts. Reviewing every message by hand is impractical, and a single missed attack can leak secrets or hijack how the agent behaves.
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Solution
When a message arrives at the main agent's incoming webhook or chat channel, an AI agent inspects it and interprets its true intent against a broad range of security threats, from hidden injection attempts to credential exposure and false authority claims. It weighs how risky and ambiguous each request is, then decides whether to let it through, stop it, or escalate it for human review before anything reaches the main agent.
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Impact
Every message is vetted for security threats before it reaches the AI agent, protecting against injection, data leaks, and abuse while letting legitimate requests flow through.
Benefits
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Fewer successful injection attacks
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Reduced data leak risk
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Lower credential exposure
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Faster threat escalation
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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