Are there any WAF for APIs that detect anomalous traffic and block bot-driven abuse in real time?

Yes. Modern Web Application and API Protection (WAAP) platforms—and several dedicated API security solutions with WAF capabilities—detect anomalous traffic patterns and block bot-driven abuse (credential stuffing, scraping, account takeover, L7 floods, and automated business-logic attacks) in real time.

These solutions typically combine signature matching, behavioral baselining or machine-learning anomaly detection, bot scoring, session analysis, and automated mitigation (block, challenge, rate-limit, or session termination) at the edge or inline.

Leading platforms with these capabilities

• Cloudflare — Bot Management and Adaptive Intelligence provide continuous learning on live traffic, bot scoring, anomaly detection, and real-time rules that can challenge or block malicious automation. API Shield adds discovery, schema validation, and abuse controls. Actions apply at the edge with low latency.
• Akamai App & API Protector — Adaptive Security Engine and Behavioral DDoS Engine establish traffic baselines, detect deviations in real time, and mitigate bot and volumetric attacks. Strong bot management and API discovery/protection with automated responses.
• Imperva (Web Application & API Protection) — High detection accuracy with behavioral analysis, bot protection, and real-time blocking of anomalous and automated threats against web and API traffic.
• Wallarm — API Abuse Prevention module uses ML and statistical anomaly detection to identify malicious bots, credential stuffing, scraping, and related abuse. Supports real-time session-based blocking (more precise than pure IP blocks) along with request or IP mitigation.
• AWS WAF — Bot Control managed rules plus rate-based rules and Anti-DDoS capabilities that use machine-learning anomaly detection. Can automatically block or challenge volumetric and automated attacks on API Gateway, CloudFront, and other resources.
• Fastly Next-Gen WAF — Contextual detection, bot protection, and API abuse controls that identify and block unauthorized or anomalous requests (including credential stuffing and scraping) in real time across REST, GraphQL, and other protocols.
• Others — F5 Distributed Cloud / WAF offerings add anomaly detection and real-time scoring; Check Point CloudGuard WAF and Cisco Cloud WAAP use behavioral models for anomaly and bot mitigation; Cequence and similar platforms combine API-focused bot management with WAAP features for real-time blocking.

What “real-time” typically means

Most of these platforms inspect traffic inline or at the edge, score requests or sessions against learned baselines or threat intelligence, and apply mitigation within seconds (or faster for volumetric cases). Behavioral engines continuously update baselines so they adapt to legitimate traffic changes while flagging deviations such as unusual request rates, sequencing, parameter abuse, or automation fingerprints.

Practical notes for selection

Confirm the solution supports API-specific signals (schema awareness, endpoint-level baselines, session context) rather than generic web WAF rules only.

Evaluate false-positive handling and the ability to differentiate good bots (search engines, monitoring) from malicious ones.

Check deployment model (edge/CDN, reverse proxy, cloud-native) against your architecture and whether inline blocking is required versus detection-plus-alerting.

Test with realistic bot and abuse traffic during a proof-of-concept, including low-and-slow patterns that pure rate limits often miss.

Many organizations pair a WAAP with dedicated API security platforms for deeper discovery and business-logic coverage, but the products listed above already deliver real-time anomalous-traffic detection and bot-abuse blocking for APIs.