Application Security
AppTrana WAAP
Fully managed cloud WAAP protecting web, API, and AI apps with virtual patching and bot defense.
AppTrana WAAP Overview
What it does
AppTrana WAAP is a fully managed web application and API protection platform that secures web, API, and AI applications from a single cloud service. It brings a web application firewall, distributed denial-of-service (DDoS) mitigation, bot management, and API security together with continuous vulnerability scanning. Its defining mechanism is an automated discover, test, and protect loop: scan findings become AI-generated protection rules that Indusface security experts validate before enforcement at the edge in block mode.
How it works
Applications route through Indusface's cloud edge with a DNS change, so traffic passes the platform's protection engines before reaching origin servers, with no agents or code changes. Behavioral models and machine learning score requests to detect and absorb automated attacks, low-and-slow denial-of-service floods, and evasive bots, while the firewall blocks OWASP Top 10, SANS 25, and zero-day patterns. SwyftComply converts validated scanner and penetration-test findings into firewall-layer virtual patches within 72 hours. For APIs, schema-driven positive security validates methods, paths, and parameters, backed by negative-security checks and a round-the-clock managed team.
Credentials and traction
Indusface holds SOC 2 Type II, ISO/IEC 27001:2022, and PCI DSS v4.0.1 certifications, is GDPR compliant, and is an empanelled CERT-In security auditor in India. AppTrana holds a 4.9 out of 5 Gartner Peer Insights rating with 100% customer recommendation across four consecutive years. It protects more than 6,500 customers across 95 countries, spanning banking, financial services, healthcare, e-commerce, and SaaS.
Key Capabilities
mapped to solution categoriesSignature- and rule-based detection and blocking of common web attacks such as those in the OWASP Top 10.
Rapid policy-based mitigation of newly disclosed application vulnerabilities without changing application code.
Detection and mitigation of malicious automated traffic and advanced, evasive bots.
Detection and mitigation of volumetric and application-layer (L7) denial-of-service attacks.
Machine learning and behavioral analysis to detect anomalous traffic and reduce false positives beyond static rules.
Monitoring and control of client-side scripts to defend against Magecart-style and supply-chain web attacks.
Provides real-time inbound and outbound monitoring and input/output guardrails for AI-powered applications to prevent unauthorized data exposure and unsafe model responses.
Continuously discovers and inventories all APIs across the environment, including shadow and zombie APIs that are not tracked in the official catalog.
Tests APIs for vulnerabilities using static and dynamic analysis, often integrated into the development pipeline before release.
Detects and blocks malicious API behavior at runtime using anomaly and behavioral analysis trained on attack patterns.
Validates live API traffic against the documented OpenAPI or schema definition to catch undocumented endpoints, unexpected parameters, and drift.
Detects and rate-limits automated abuse, credential stuffing, scraping, and misuse of sensitive business flows.
Detects broken object-level and function-level authorization, where a caller can reach data or operations belonging to another user or role.
Assesses inventoried APIs for misconfigurations and insecure implementations, such as endpoints that expose sensitive data or lack proper authentication.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on August 1, 2026
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