Compare the Top AI Agent Security Platforms that integrate with Anthropic as of June 2026

This a list of AI Agent Security platforms that integrate with Anthropic. Use the filters on the left to add additional filters for products that have integrations with Anthropic. View the products that work with Anthropic in the table below.

What are AI Agent Security Platforms for Anthropic?

AI agent security platforms help organizations secure, monitor, govern, and control autonomous AI agents operating across enterprise systems, applications, and data environments. These platforms provide capabilities such as identity management, permission controls, policy enforcement, activity monitoring, threat detection, and audit logging to ensure AI agents act within approved boundaries. They help protect against risks such as unauthorized actions, prompt injection attacks, data leakage, tool misuse, and malicious agent behavior. Many AI agent security platforms integrate with AI orchestration frameworks, IAM systems, security operations tools, and compliance platforms to provide end-to-end governance and protection. By enabling secure deployment and oversight of AI agents, these platforms help organizations scale agentic AI adoption while maintaining security, compliance, and operational trust. Compare and read user reviews of the best AI Agent Security platforms for Anthropic currently available using the table below. This list is updated regularly.

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    General Analysis

    General Analysis

    General Analysis

    General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss.
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