
Application Security
Wallarm WAAP
Behavior-based WAAP blocking web and API attacks, bots, and L7 DDoS inline.
Wallarm WAAP Overview
What it does
Wallarm WAAP is a cloud-native Web Application and API Protection (WAAP) platform that blocks OWASP Top 10 web attacks, OWASP API Top 10 threats such as broken object-level authorization, malicious bots, account takeover, and application-layer DDoS from a single inline engine. Detection is behavior-based rather than signature-based: the engine analyzes request and session behavior instead of pattern-matching attack strings, removing the signature tuning, allowlist maintenance, and false-positive triage that keep legacy WAFs in monitor mode.
How it works
The platform deploys inline in about 15 minutes as NGINX or Envoy modules, a Kubernetes Ingress controller or Envoy sidecar, Kong and MuleSoft connectors, or through Security Edge, a DNS-routed deployment on Wallarm's distributed network; out-of-band analysis via eBPF is also supported, with one console across AWS, GCP, Azure, IBM Cloud, and private data centers. The engine automatically selects single-request, session, or IP blocking to match the attack pattern, applies distributed rate limiting and geographic blocking, and virtual-patches 0-day vulnerabilities, with detections updating as Wallarm Research analyzes new attack patterns. Events push to SIEM, incident response, and messaging tools.
Credentials and traction
SOC 2 Type II certified, with a 99.95 percent monthly uptime commitment on standard subscription plans. Wallarm is listed as a Representative Vendor in the 2026 Gartner Market Guide for Cloud Web Application and API Protection for its Cloud-Native WAAP offering, was named to the 2025 Inc. 5000 list of fastest-growing US companies, and protects billions of API requests daily. Customers include Panasonic, Dropbox, Miro, Victoria's Secret, and Rappi.
Key Capabilities
mapped to solution categoriesSignature- and rule-based detection and blocking of common web attacks such as those in the OWASP Top 10.
Detection and mitigation of volumetric and application-layer (L7) denial-of-service attacks.
Detection and mitigation of malicious automated traffic and advanced, evasive bots.
Controls request volume per user or client within defined time intervals.
Rapid policy-based mitigation of newly disclosed application vulnerabilities without changing application code.
Machine learning and behavioral analysis to detect anomalous traffic and reduce false positives beyond static rules.
Detects and blocks malicious API behavior at runtime using anomaly and behavioral analysis trained on attack patterns.
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.
Continuously discovers and inventories all APIs across the environment, including shadow and zombie APIs that are not tracked in the official catalog.
Identifies APIs that transmit or return sensitive data such as personal information, credentials, or tokens, so exposure can be flagged and controlled.
Validates live API traffic against the documented OpenAPI or schema definition to catch undocumented endpoints, unexpected parameters, and drift.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on July 30, 2026
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