How does Spur detect AI driven bots without fingerprints or captchas?

Spur focuses on infrastructure and network signals rather than client-side identifiers, allowing detection even when bots mimic human behavior.

Can Spur detect bots using residential IPs?

Yes. Residential proxy detection is a core strength, enabling identification of bots operating from consumer IP space.

How is this different from traditional bot management tools?

Traditional tools rely on behavioral heuristics or client instrumentation. Spur reveals the network-level reality behind each session.

AI & Bot Detection – Identify Agentic Activity and Automation

Q: How is AI & Bot Detection delivered?

Through Spur's API, session enrichment, or on-prem data feeds depending on latency, scale, and integration needs.

AI & Bot Detection.

Expose automated and agentic activity hiding behind legitimate-looking traffic.

Spur AI & Bot Detection reveals the network and session signals that distinguish real users from automated activity, even when bots appear human.

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Spur AI & Bot Detection focuses on the network and infrastructure signals that cannot be faked. By correlating IP intelligence, anonymization infrastructure, and behavioral context, Spur exposes automated activity even when it appears human.

As automation becomes more adaptive and agentic, traditional bot detection tools struggle to distinguish between desirable and undesirable automation. The Spur platform provides security, fraud, and threat hunting teams with a continuous signal that complements application-level detection without adding friction for legitimate users or agents.

Key Benefits

Detect automated and agentic activity hidden behind VPNs, proxies, and rotating infrastructure.
Separate real users from AI driven automation using explainable network signals.
Reduce reliance on stagnant fingerprints and client-side heuristics.
Strengthen bot and abuse detection without degrading user experience.
Define and enforce requirements for legitimate agentic interactions

How Spur Detects AI & Bot Traffic

01
Identify:
Surface traffic from residential proxy pools, IP blocks, VPN services, mobile gateways, and emerging infrastructure used by agentic platforms.
02
Correlate:
Link sessions across shared infrastructure, proxy services, and network patterns to reveal coordinated automation.
03
Enrich:
Apply high-fidelity IP and session attributes to each connection, providing context for blocking, scoring, alerting, or investigation.

Why Teams Choose Spur AI & Bot Proxy Detection

Spur focuses on infrastructure and routing reality rather than solely relying on static browser traits or user-side identifiers.

Network-level detection, not surface signals

Spur focuses on infrastructure and routing reality rather than solely relying on static browser traits or user-side identifiers.

Residential proxy awareness by default

Most advanced bots attempting to mask their identity operate from a residential IP space. Spur specializes in detecting these networks at scale.

Explainable intelligence, not opaque scores

Every decision is backed by visible attributes such as service, ASN, tunnel behavior, and provider attribution.

Flexible enforcement across environments

Deploy via our API, session enrichment, or on-prem data feeds depending on latency, scale, and compliance needs.

Built for emerging threats

Spur continuously tracks new proxy services and automation infrastructure as tactics evolve.

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Reveal bot-driven transaction abuse and scripted checkout activity.

Customer Success

Trusted by Teams Who Need to See What’s Real.

GoPuff:
Mitigated bot-driven ecommerce abuse by detecting automated traffic hidden behind residential proxies.
Read Case Study
Online Retailer:
Stopped scalper bots during major launches by exposing coordinated automation behind anonymized traffic.
Read Case Study
Social Media Platform:
Disrupted account farming and spam by identifying automated activity operating through proxy networks.
Read Case Study