Arcjet
Runtime security platform that protects AI agents, tools, APIs, and web applications at the point of action.
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Product Overview
What is Arcjet?
Arcjet is a developer-focused runtime security platform for production AI agents and applications. It places policy checks directly in application code, allowing teams to inspect and control agent actions before they reach tools, APIs, databases, or external services. Arcjet combines prompt injection detection, tool authorization, sensitive-data protection, bot defense, and usage controls with audit records that help teams investigate agent behavior and meet security requirements.
Key Features
Agent Runtime Enforcement
Evaluates agent actions at the tool, API, database, or workflow boundary and returns an allow, deny, redact, or review decision before side effects occur.
Prompt Injection Protection
Detects malicious instructions in user messages, tool outputs, and external content before they are passed into an LLM.
Tool Access Controls
Restricts agent tool calls using identity, role, route, typed arguments, and workflow context to prevent unauthorized actions.
Data Loss Prevention
Identifies and redacts PII and sensitive data before it reaches model context, logs, or third-party services.
Budgets and Abuse Defense
Applies token, request, and spend limits while detecting bots and automated abuse across AI and traditional web endpoints.
Policy and Audit Evidence
Supports code-based and remotely managed policies, while preserving decisions, inputs, actors, policy versions, and workflow history for review.
Use Cases
- Secure AI Agents : Protect autonomous agents that can call internal tools, access databases, issue refunds, modify records, or trigger external workflows.
- Guard MCP and Tool Servers : Enforce authorization and input rules around MCP tools and custom function handlers before an agent can execute sensitive operations.
- Prevent Sensitive Data Exposure : Reduce the risk of personal, financial, or confidential data leaking through prompts, model context, logs, and external tool calls.
- Control AI Costs : Set per-user, organization, or agent quotas to stop runaway loops and abusive traffic from consuming excessive model budgets.
- Protect AI-Powered Apps : Add prompt security, bot detection, rate limits, and application-layer protection to AI features built with modern web frameworks.
- Audit Agent Workflows : Create a traceable record of agent decisions and actions for incident investigations, security reviews, and compliance workflows.
FAQs
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