PerfAI.ai – AI-Powered API Security, Privacy & Performance Assurance

PerfAI.ai is an AI-driven platform that automates API security, privacy validation, governance enforcement, and performance testing—with zero code. It continuously monitors your API landscape to discover endpoints, detect vulnerabilities, validate data privacy (PII/PHI), assess governance policies (auth, rate limiting, schema compliance), and conduct intelligent performance testing.

Delivered as a self-hosted container or Azure-compatible deployment, PerfAI.ai fits seamlessly into your existing CI/CD pipelines or production infrastructure. Whether you're deploying APIs on Azure Kubernetes Service (AKS), Azure App Services, or VMs, PerfAI.ai helps you launch faster, safer, and more reliable APIs.

PerfAI.ai is built for teams across the API lifecycle, including:

• DevOps and DevSecOps Engineers – Automate scanning and validation during builds or pre-deployment.

• Platform and API Engineers – Ensure consistent policy compliance and endpoint reliability.

• Security & Compliance Teams – Detect API-level vulnerabilities, PII/PHI exposures, and enforce standards.

• Engineering Managers & CTOs – Accelerate delivery cycles with built-in quality gates and governance scoring.

• QA Teams – Run performance and functional checks automatically, without scripting.

APIs are now the backbone of digital products—but they come with high risk:

• Undiscovered or undocumented APIs lead to shadow IT and security exposure.

• Sensitive data exposure (PII/PHI) from poorly validated fields and endpoints.

• API contract drift or inconsistent enforcement of auth, rate limits, and versioning.

• Manual and reactive testing that delays releases or misses performance regressions.

• Tool fragmentation—requiring separate tools for security, performance, and governance.
  
  

PerfAI.ai solves this by:

• Auto-discovering APIs and endpoints (including shadow APIs)

• Scanning in real-time for security flaws and data privacy leaks

• Running no-code performance tests tailored to your API traffic patterns

• Enforcing API governance automatically across versions and environments

• Delivering actionable AI-based insights with API health scoring

Example Use Cases:

• Automatically validate all APIs for security and privacy issues before deploying to Azure.

• Use governance scoring to enforce authentication standards across internal microservices.

• Detect regressions in API performance post-deployment using real user traffic simulation.

• Empower non-technical QA or PMs to run tests and audit APIs without writing code.