Amnify - 2026 Pricing, Features, Reviews & Alternatives

Amnify is a cloud-based SaaS security platform that deploys a team of AI security agents to continuously scan code, cloud infrastructure, dependencies, and live attack surface across the full development lifecycle. Rather than generating alert lists, Amnify investigates each finding against the organization's architecture, governance, and coding standards, then delivers remediation as merge-ready pull requests complete with root cause analysis and generated tests. Hosted on Microsoft Azure in the European Union, code is processed in temporary containers and deleted after each run; only findings are retained, making the platform GDPR-compliant by design.

Amnify covers the full security stack in a single subscription: SAST, secrets detection, SCA, IaC scanning, and CI/CD auditing on the code side; CSPM across AWS, Azure, and Google Cloud on the infrastructure side; hourly CVE checks with reachability analysis on dependencies; black, gray, and white box penetration testing against running applications; and automated security review on every pull request. Agents perform cross-file analysis to surface authorization bypasses, tenant-isolation failures, and business-logic flaws that rule-based scanners miss. A continuously updated organizational knowledge model, built from connected repositories, cloud accounts, runtime signals, tickets, and uploaded documents, allows agents to distinguish reachable risks from theoretical ones and group findings that share a root cause into a single fix. Answers provided to agent questions are recorded and applied automatically to all similar future findings, so the platform's accuracy improves over time.

Amnify targets cloud-native development and engineering teams, including fast-moving organizations that ship code continuously and operate without dedicated security headcount. It integrates with GitHub, GitLab, Bitbucket, Azure DevOps, GitHub Actions, Docker, Kubernetes, Serverless, Datadog, Terraform, Jira, Linear, Slack, Notion, Confluence, and Microsoft 365. Findings, scan triggers, and question-answering are also exposed via the Model Context Protocol (MCP), making Amnify compatible with AI coding agents such as Claude Code, Codex, Cursor, and GitHub Copilot. The platform supports compliance workflows for ISO/IEC 27001 and GDPR by reviewing pull requests, fixing findings, and producing audit evidence. Code is never used to train AI models.