Radware Cloud Application Protection Services

Machine learning and behavioral analysis to detect anomalous traffic and reduce false positives beyond static rules.

Signature- 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.

Monitoring and control of client-side scripts to defend against Magecart-style and supply-chain web attacks.

Detection and mitigation of malicious automated traffic and advanced, evasive bots.

Provides real-time inbound and outbound monitoring and input/output guardrails for AI-powered applications to prevent unauthorized data exposure and unsafe model responses.

Controls request volume per user or client within defined time intervals.

Detects automation through layered client-side and server-side detection models - behavioral, device, network, and challenge signals - resilient to AI-driven evasion and CAPTCHA-solving services.

Protects account creation, login, and session flows against credential stuffing, account takeover, and fake-account abuse, building per-account trust from user, device, and session signals.

Detects and governs content scraping, including LLM training and retrieval crawlers: blocking value-damaging scrapers while permitting or monetizing sanctioned automated access.

Determines and surfaces the intent behind automated traffic - distinguishing malicious bots, benign automation, LLM crawlers, and human-delegated AI agents - so policy decisions rest on what the traffic is trying to do, not only whether it is automated.

Establishes and manages trusted relationships with legitimate AI agents: an out-of-the-box library of known agents plus granular per-agent permissions and policies governing what each agent may access and do.

Protects high-value transaction flows (checkout, payments, hype sales, registrations) from automated abuse while prioritizing legitimate human and agent-delegated transactions.

Continuously discovers and inventories all APIs across the environment, including shadow and zombie APIs that are not tracked in the official catalog.

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.

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.

Detects broken object-level and function-level authorization, where a caller can reach data or operations belonging to another user or role.