Signal Collection
Traffic patterns, request fingerprints, and session context.
Use Case
Scraping
Protect your content, pricing, and inventory from automated extraction and competitive scraping. Naksill blocks malicious automation in real time while keeping legitimate users and trusted agents fast.
Problem
Scraping is rarely just bots. It is automated traffic designed to quietly extract value: content, pricing intelligence, inventory signals, and competitive data, often at scale and continuously.
When left unchecked, it increases infrastructure load, distorts analytics, weakens competitive advantage, and can damage user experience during traffic spikes.
Protection Architecture
Naksill uses a unified signal pipeline to identify automation intent and enforce protection instantly. Signals are correlated across requests and sessions to separate real users from scripted activity, then the appropriate action is applied in real time.
Intent Classification
Correlate signals to identify automation behavior.
Edge Enforcement
Allow, slow down, challenge, or block instantly.
How it works
Identify automation intent
Naksill detects scripted behavior that does not match genuine user navigation, even when requests appear normal.
Correlate across sessions
Instead of judging a single request, protection evaluates continuity and repeated patterns over time.
Enforce without disruption
Mitigation is applied precisely where needed, so legitimate users keep moving fast while abusive automation is stopped.
What it stops
This use case stops automated extraction that targets pages and endpoints with high-value information. It blocks repetitive scripted access patterns used to copy content, monitor pricing, and map inventory signals. It prevents persistent automation that scales quietly and blends into normal traffic. It reduces traffic pressure caused by harvesting bots that hit pages at unnatural frequency. The result is protected business value, cleaner data, and more stable performance under automated load.
Key capabilities
This use case is powered by a focused set of capabilities designed to block extraction without slowing down real customers. Protection evaluates traffic intent with high precision, even when automation tries to mimic normal browsing. Enforcement can be tailored to match business priorities, keeping high-value pages and routes protected without adding operational overhead. The system stays consistent under sustained pressure, so abuse cannot simply shift to a weaker path. Teams get practical clarity into what is happening, enabling confident control over protection behavior.
Behavior-based detection with session-level context
Adaptive controls for high-value pages and routes
Real-time decisions under sustained traffic pressure
Low-friction mitigation that protects genuine users
Consistent protection across web apps and API surfaces
Clear operational visibility into abuse and response
Outcomes
Cleaner business signals and stronger platform stability when automated extraction pressure rises.
Relevant modules
FAQ
Protection is designed to keep real users fast and uninterrupted. Mitigation is applied only when traffic shows strong automation signals, and policies can be tuned to match your UX requirements.