perfai.ai

What It Is

Perfai Security positions itself as an autonomous, agentic application security platform for AI-built apps. Rather than a traditional scheduled scanner, it uses agents that continuously learn an application’s business flows, roles, authentication, and data access patterns, then validate issues like business-logic flaws, access-control weaknesses, and prompt injection in an attacker-like manner. After confirming impact, it can submit fix Pull Requests.

Core Capabilities and Protection Scope

Its protection focus covers 70+ AI-native threat categories, including BOLA / IDOR, broken access control, business-logic abuse, SSRF, broken auth, prompt-injection, RAG poisoning / abuse, and the OWASP Top 10. One particularly valuable feature is its “prove exploitability” approach: the platform emphasizes confirming reachability and impact before creating findings, which can help reduce the noise often produced by rule-only scanning. Automated remediation is also a core capability: it can open PRs on GitHub or push fixes to tools such as Cursor, Claude Code, GitHub Copilot, Replit, and Windsurf.

Deployment, Integrations, and Management

The site indicates that it is suited for applications built with tools such as Cursor, Bolt, v0, Replit, Windsurf, Claude Code, GitHub Copilot, Devin, Codeium, Aider, StackBlitz, and Vercel v0. Enterprise / MSSP plans support a multi-tenant portal, private deployment, custom SLAs, and an internal application broker. On the management side, it includes continuous autonomous testing, unlimited retesting, and compliance-ready reports, but it does not disclose details on alerting channels, permission models, audit logs, or data retention policies.

Pricing and Value for Money

Pricing is relatively clear: Explorer is free and suitable for trying it on a single application, with the first findings claimed to arrive within 20 minutes. Protect starts at $560/month and is aimed at continuous protection for production applications. Growth starts at $1,120/month and adds compliance-ready reporting and advanced coverage. Enterprise / MSSP pricing is custom. For commercial teams, if the automated remediation and real exploit validation can reduce manual penetration testing and rework, the value proposition could be strong. For individual developers or very early-stage teams, however, the entry price for paid plans is fairly high.

Pros, Cons, and Best Fit

Its strengths are its strong alignment with the security risks of AI-generated applications, including newer scenarios such as prompt injection and RAG abuse, as well as its attempt to connect discovery, validation, remediation, and retesting into a closed loop. The downsides are that public materials do not clarify compliance certifications such as SOC 2 or ISO 27001, and they also lack common enterprise procurement information such as payment methods, China accessibility, support response, and data residency. It is best suited for SaaS teams, growing engineering organizations, security teams, and MSSPs that rapidly ship products using AI coding tools.

China Access and Alternative Considerations

The site does not provide information on mainland China access, payment, or localized support, so China accessibility can only be marked as unknown. If the workflow depends on external toolchains such as GitHub, Claude, and Cursor, actual usage may be affected by network conditions and account systems. Domestic Chinese teams should verify access stability, payment options, and data export requirements before purchasing, and consider combining it with local code review, DAST/SAST, API security testing, and manual penetration testing as alternatives or complements.