Best AI Agent Security Platforms for GitHub
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Compare the Top AI Agent Security Platforms that integrate with GitHub as of June 2026
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This a list of AI Agent Security platforms that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.
What are AI Agent Security Platforms for GitHub?
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 GitHub currently available using the table below. This list is updated regularly.
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1
Akto
Akto
Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc. -
2
Noma
Noma Security
Noma Security is the complete enterprise AI security platform designed to deliver confidence in agentic AI at scale. Noma Security was named a Gartner Cool Vendors in AI Security, 2025 for delivering deep visibility and AI discovery, agentic risk mapping, security posture management, automated AI red teaming, and AI runtime protection all in one platform. With seamless integration to your AI stack and workflows, and alignment with regulatory compliance frameworks, Noma Security helps teams embrace AI innovation while addressing the unique threats posed by rapid enterprise AI adoption. -
3
Snapper
Snapper
Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring. -
4
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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Pillar Security
Pillar Security
Pillar Security is a unified AI security platform for securing the agentic workforce across the entire AI lifecycle, from development to deployment and runtime protection. It connects business context across discovery, testing, and protection so security intelligence compounds across AI applications, agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, SaaS, cloud, code, and endpoints. Pillar helps organizations discover and manage AI assets everywhere, including shadow AI and unapproved systems, assess supply chain and posture risks, map agentic attack surfaces, and validate the vulnerabilities that actually matter. Its AI Security Posture Management capabilities analyze connected agents, tools, permissions, data sources, prompts, models, and supply chain components to expose risky paths, policy violations, misconfigurations, coding agent risks, and blast radius when a single component is compromised.
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