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API Privacy: Remote‑First Test Agents for App Security, Quality, and Compliance

#API#Privacy#Security#Zero-code Integration#Compliance#Test Agents#Real-time Enforcement#Remote-first#Developers#Enterprises#Collaboration#Flexibility
Type
Saas
Company
Perfai Security

About API Privacy

Perfai Security is an autonomous, agentic application security platform purpose-built for AI-native and vibe-coded applications. Its AI agents automatically learn the app's flows, roles, authentication, and data model, then execute tailored tests across 70+ AI-native threat categories including BOLA/IDOR, broken access control, business-logic abuse, SSRF, prompt injection, RAG poisoning, and OWASP Top 10. The platform proves each exploit by confirming reachability and impact before opening an auto-fix pull request — or pushing the fix directly into developer tools like Cursor, Claude Code, GitHub Copilot, Replit, or Windsurf. Continuous, 24/7 testing replaces scheduled scans and one-off pentests, enabling security that moves at the speed of AI code generation.

Key Features

API Data Masking
Real-Time Privacy Enforcement
Zero-Code Integration
Compliance Support
Tokenization Engine
Audit Logs and Reporting
Anonymization for Testing
Rate Limiting with Privacy
Multi-Cloud Compatibility
Custom Rule Builder

Pros & Cons

Pros
  • Fully autonomous: learns app, finds exploits, and ships fixes without manual intervention
  • Real-exploit validation reduces false positives and noise
  • Covers AI-native threats that traditional scanners miss (e.g., prompt injection, RAG poisoning)
  • Auto-fix integrates directly into popular AI coding tools and GitHub
  • Continuous 24/7 testing with no scheduled scans or one-off pentests needed
  • Free tier available for evaluation on a single app
Cons
  • Specifically tailored for AI-built apps; may not cover traditional manually-written applications as thoroughly
  • Auto-fix requires integration with GitHub or supported developer tools; not standalone
  • Pricing for larger teams ($499/mo for Growth plan) may be high for some startups
  • Limited documentation on custom rules or manual override of automated fixes

Best For

API developers: Mask PII in API responses without code changes to prevent sensitive data exposure.Security teams: Enforce real‑time privacy rules to block or redact non‑compliant payloads before they reach clients.Compliance officers: Leverage GDPR, CCPA, HIPAA, and SOC 2 templates to standardize and audit data‑handling practices.QA engineers: Generate anonymized datasets for staging and testing to reduce privacy risks in non‑production.SRE/Platform teams: Deploy a zero‑code proxy or SDK across REST, GraphQL, and gRPC services with minimal overhead.Product managers: Enable privacy‑by‑design through a no‑code rule builder that aligns with product and legal requirements.Fraud and abuse teams: Combine rate limiting with privacy checks to mitigate scraping and data exfiltration attempts.Data engineering teams: Tokenize sensitive fields to preserve analytics utility while restricting raw data access.Audit and governance: Export detailed privacy events and access logs to streamline internal and external audits.Multi‑cloud IT teams: Run the solution across AWS, Azure, GCP, and on‑prem with containerized deployments.

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